@phdthesis{Neumann2014,
  author    = {Neumann, Daniel},
  title     = {Advances in Fast MRI Experiments},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-108165},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2014},
  abstract  = {Magnetic Resonance Imaging (MRI) is a non-invasive medical imaging technique, that is rou- tinely used in clinical practice for detection and diagnosis of a wide range of different diseases. In MRI, no ionizing radiation is used, making even repeated application unproblematic. This is an important advantage over other common imaging methods such as X-rays and Computer To- mography. One major drawback of MRI, however, are long acquisition times and associated high costs of experiments. Since the introduction of MRI, several important technical developments have been made to successfully reduce acquisition times. In this work, novel approaches were developed to increase the efficiency of MRI acquisitions. In Chapter 4, an improved radial turbo spin-echo (TSE) combined acquisition and reconstruction strategy was introduced. Cartesian turbo spin-echo sequences [3] are widely used especially for the detection and diagnosis of neurological pathologies, as they provide high SNR images with both clinically important proton density and T2 contrasts. TSE acquisitions combined with radial sampling are very efficient, since it is possible to obtain a number of ETL images with different contrasts from a single radial TSE measurement [56-58]. Conventionally, images with a particular contrast are obtained from both radial and Cartesian TSE acquisitions by combining data from different echo times into a single image. In the radial case, this can be achieved by employing k-space weighted image contrast (KWIC) reconstruction. In KWIC, the center region of k-space is filled exclusively with data belonging to the desired contrast while outer regions also are assembled with data acquired at other echo times. However, this data sharing leads to mixed contrast contributions to both Cartesian and radial TSE images. This is true especially for proton density weighted images and therefore may reduce their diagnostic value. In the proposed method, an adapted golden angle reordering scheme is introduced for radial TSE acquisitions, that allows a free choice of the echo train length and provides high flexibility in image reconstruction. Unwanted contrast contaminations are greatly reduced by employing a narrow-band KWIC filter, that restricts data sharing to a small temporal window around the de- sired echo time. This corresponds to using fewer data than required for fully sampled images and consequently leads to images exhibiting aliasing artifacts. In a second step, aliasing-free images are obtained using parallel imaging. In the neurological examples presented, the CG-SENSE algorithm [42] was chosen due to its stable convergence properties and its ability to reconstruct arbitrarily sampled data. In simulations as well as in different in vivo neurological applications, no unwanted contrast contributions could be observed in radial TSE images reconstructed with the proposed method. Since this novel approach is easy to implement on today's scanners and requires low computational power, it might be valuable for the clinical breakthrough of radial TSE acquisitions. In Chapter 5, an auto-calibrating method was introduced to correct for stimulated echo contribu- tions to T2 estimates from a mono-exponential fit of multi spin-echo (MSE) data. Quantification of T2 is a useful tool in clinical routine for the detection and diagnosis of diseases as well as for tis- sue characterization. Due to technical imperfections, refocusing flip angles in a MSE acquisition deviate from the ideal value of 180○. This gives rise to significant stimulated echo contributions to the overall signal evolution. Therefore, T2 estimates obtained from MSE acquisitions typically are notably higher than the reference. To obtain accurate T2 estimates from MSE acquisitions, MSE signal amplitudes can be predicted using the extended phase graph (EPG, [23, 24]) algo- rithm. Subsequently, a correction factor can be obtained from the simulated EPG T2 value and applied to the MSE T2 estimates. However, EPG calculations require knowledge about refocus- ing pulse amplitudes, T2 and T1 values and the temporal spacing of subsequent echoes. While the echo spacing is known and, as shown in simulations, an approximate T1 value can be assumed for high ratios of T1/T2 without compromising accuracy of the results, the remaining two parameters are estimated from the data themselves. An estimate for the refocusing flip angle can be obtained from the signal intensity ratio of the second to the first echo using EPG. A conventional mono- exponential fit of the MSE data yields a first estimate for T2. The T2 correction is then obtained iteratively by updating the T2 value used for EPG calculations in each step. For all examples pre- sented, two iterations proved to be sufficient for convergence. In the proposed method, a mean flip angle is extracted across the slice. As shown in simulations, this assumption leads to greatly reduced deviations even for more inhomogeneous slice profiles. The accuracy of corrected T2 values was shown in experiments using a phantom consisting of bottles filled with liquids with a wide range of different T2 values. While T2 MSE estimates were shown to deviate significantly from the spin-echo reference values, this is not the case for corrected T2 values. Furthermore, applicability was demonstrated for in vivo neurological experiments. In Chapter 6, a new auto-calibrating parallel imaging method called iterative GROG was pre- sented for the reconstruction of non-Cartesian data. A wide range of different non-Cartesian schemes have been proposed for data acquisition in MRI, that present various advantages over conventional Cartesian sampling such as faster acquisitions, improved dynamic imaging and in- trinsic motion correction. However, one drawback of non-Cartesian data is the more complicated reconstruction, which is ever more problematic for non-Cartesian parallel imaging techniques. Iterative GROG uses Calibrationless Parallel Imaging by Structured Low-Rank Matrix Completion (CPI) for data reconstruction. Since CPI requires points on a Cartesian grid, it cannot be used to directly reconstruct non-Cartesian data. Instead, Grappa Operator Gridding (GROG) is employed in a first step to move the non-Cartesian points to the nearest Cartesian grid locations. However, GROG requires a fully sampled center region of k-space for calibration. Combining both methods in an iterative scheme, accurate GROG weights can be obtained even from highly undersampled non-Cartesian data. Subsequently, CPI can be used to reconstruct either full k- space or a calibration area of arbitrary size, which can then be employed for data reconstruction with conventional parallel imaging methods. In Chapter 7, a new 2D sampling scheme was introduced consisting of multiple oscillating effi- cient trajectories (MOET), that is optimized for Compressed Sensing (CS) reconstructions. For successful CS reconstruction of a particular data set, some requirements have to be met. First, ev- ery data sample has to carry information about the whole object, which is automatically fulfilled for the Fourier sampling employed in MRI. Additionally, the image to be reconstructed has to be sparse in an arbitrary domain, which is true for a number of different applications. Last, data sam- pling has to be performed in an incoherent fashion. For 2D imaging, this important requirement of CS is difficult to achieve with conventional Cartesian and non-Cartesian sampling schemes. Ra- dial sampling is often used for CS reconstructions of dynamic data despite the streaking present in undersampled images. To obtain incoherent aliasing artifacts in undersampled images while at the same time preserving the advantages of radial sampling for dynamic imaging, MOET com- bines radial spokes with oscillating gradients of varying amplitude and alternating orientation orthogonal to the readout direction. The advantage of MOET over radial sampling in CS re- constructions was demonstrated in simulations and in in vivo cardiac imaging. MOET provides superior results especially when used in CS reconstructions with a sparsity constraint directly in image space. Here, accurate results could be obtained even from few MOET projections, while the coherent streaking artifacts present in the case of radial sampling prevent image recovery even for smaller acceleration factors. For CS reconstructions of dynamic data with sparsity constraint in xf-space, the advantage of MOET is smaller since the temporal reordering is responsible for an important part of incoherency. However, as was shown in simulations of a moving phantom and in the reconstruction of ungated cardiac data, the additional spatial incoherency provided by MOET still leads to improved results with higher accuracy and may allow reconstructions with higher acceleration factors.},
  subject      = {Kernspintomografie},
  language  = {en}
}
@phdthesis{Ye2013,
  author    = {Ye, Yuxiang},
  title     = {Molecular and Cellular Magnetic Resonance Imaging of Myocardial Infarct Healing},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-72514},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2013},
  abstract  = {Myokardinfarkte (MI) sind eine der h{\"a}ufigsten Todesursachen weltweit. Eine rechtzeitige Wiederherstellung des koronaren Blutflusses im isch{\"a}mischen Myokard reduziert signifikant die Sterblichkeitsrate akuter Infarkte und vermindert das ventrikul{\"a}re Remodeling. {\"U}berlebende MI-Patienten entwickeln jedoch h{\"a}ufig eine Herzinsuffizienz, die mit einer reduzierten Lebensqualit{\"a}t, hohen Sterblichkeitsrate (10\% j{\"a}hrlich), sowie hohen Kosten f{\"u}r das Gesundheitssystem einhergeht. Die Entwicklung der Herzinsuffizienz nach einem MI ist auf den hohen Verlust kontraktiler Kardiomyozyten, w{\"a}hrend der Isch{\"a}mie-Reperfusion zur{\"u}ckzuf{\"u}hren. Anschließende komplexe strukturelle und funktionelle Ver{\"a}nderungen resultieren aus Modifikationen des infarzierten und nicht infarzierten Myokards auf molekularer und zellul{\"a}rer Ebene. Die verbesserte {\"U}berlebensrate von Patienten mit akutem MI und das Fehlen effizienter Therapien, die die Entwicklung und das Fortschreiten des ventrikul{\"a}ren Remodelings verhindern, f{\"u}hren zu einer hohen Pr{\"a}valenz der Herzinsuffizienz. Die kardiale Magnetresonanztomographie (MRT) ist eine wichtige Methode zur Diagnose und Beurteilung des Myokardinfarktes. Mit dem technologischen Fortschritt wurden die Grenzen der MRT erweitert, so dass es heute m{\"o}glich ist, auch molekulare und zellul{\"a}re Ereignisse in vivo und nicht-invasiv zu untersuchen. In Kombination mit kardialer Morphologie und Funktion k{\"o}nnte die Visualisierung essentieller molekularer und zellul{\"a}rer Marker in vivo weitreichende Einblicke in den Heilungsprozess infarzierter Herzen liefern, was zu neuen Erkenntnissen f{\"u}r ein besseres Verst{\"a}ndnis und bessere Therapien des akuten MI f{\"u}hren k{\"o}nnte. In dieser Arbeit wurden Methoden f{\"u}r die molekulare und zellul{\"a}re kardiale MRT-Bildgebung der Inflammation und des Kalziumstroms im Heilungsprozess des akuten Myokardinfarktes in vivo in einem Rattenmodel mit klinischer Relevanz etabliert.},
  subject      = {Kernspintomografie},
  language  = {en}
}
@phdthesis{BasseLuesebrink2012,
  author    = {Basse-L{\"u}sebrink, Thomas Christian},
  title     = {Application of 19F MRI for in vivo detection of biological processes},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-77188},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2012},
  abstract  = {This thesis focuses on various aspects and techniques of 19F magnetic resonance (MR). The first chapters provide an overview of the basic physical properties, 19F MR and MR sequences related to this work. Chapter 5 focuses on the application of 19F MR to visualize biological processes in vivo using two different animal models. The dissimilar models underlined the wide applicability of 19F MR in preclinical research. A subsection of Chapter 6 shows the application of compressed sensing (CS) to 19F turbo-spin-echo chemical shift imaging (TSE-CSI), which leads to reduced measurement time. CS, however, can only be successfully applied when a sufficient signal-to-noise ratio (SNR) is available. When the SNR is low, so-called spike artifacts occur with the CS algorithm used in the present work. However, it was shown in an additional subsection that these artifacts can be reduced using a CS-based post processing algorithm. Thus, CS might help overcome limitations with time consuming 19F CSI experiments. Chapter 7 deals with a novel technique to quantify the B+1 profile of an MR coil. It was shown that, using a specific application scheme of off resonant pulses, Bloch-Siegert (BS)-based B+1 mapping can be enabled using a Carr Purcell Meiboom Gill (CPMG)-based TSE sequence. A fast acquisition of the data necessary for B+1 mapping was thus enabled. In the future, the application of BS-CPMG-TSE B+1 mapping to improve quantification using 19F MR could therefore be possible.},
  subject      = {Kernspintomografie},
  language  = {en}
}
@phdthesis{Fischer2011,
  author    = {Fischer, Andr{\´e}},
  title     = {On the Application of Compressed Sensing to Magnetic Resonance Imaging},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-72496},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {This thesis investigated the potential of Compressed Sensing (CS) applied to Magnetic Resonance Imaging (MRI). CS is a novel image reconstruction method that emerged from the field of information theory. The framework of CS was first published in technical reports in 2004 by Cand{\`e}s and Donoho. Two years later, the theory of CS was published in a conference abstract and two papers. Cand{\`e}s and Donoho proved that it is possible, with overwhelming probability, to reconstruct a noise-free sparse signal from incomplete frequency samples (e.g., Fourier coefficients). Hereby, it is assumed a priori that the desired signal for reconstruction is sparse. A signal is considered "sparse" when the number of non-zero elements is significantly smaller than the number of all elements. Sparsity is the most important foundation of CS. When an ideal noise-free signal with few non-zero elements is given, it should be understandably possible to obtain the relevant information from fewer Fourier coefficients than dictated by the Nyquist-Shannon criterion. The theory of CS is based on noise-free sparse signals. As soon as noise is introduced, no exact sparsity can be specified since all elements have signal intensities that are non-zero. However, with the addition of little or moderate noise, an approximate sparsity that can be exploited using the CS framework will still be given. The ability to reconstruct noisy undersampled sparse MRI data using CS has been extensively demonstrated. Although most MR datasets are not sparse in image space, they can be efficiently sparsified by a sparsifying transform. In this thesis, the data are either sparse in the image domain, after Discrete Gradient transformation, or after subtraction of a temporally averaged dataset from the data to be reconstructed (dynamic imaging). The aim of this thesis was to identify possible applications of CS to MRI. Two different algorithms were considered for reconstructing the undersampled sparse data with the CS concept. The Nonlinear Conjugate Gradient based technique with a relaxed data consistency constraint as suggested by Lustig et al. is termed Relaxed DC method. An alternative represents the Gradient or Steepest Descent algorithm with strict data consistency and is, therefore, termed the Strict DC method. Chapter 3 presents simulations illustrating which of these two reconstruction algorithms is best suited to recover undersampled sparse MR datasets. The results lead to the decision for the Strict DC method as reconstruction technique in this thesis. After these simulations, different applications and extensions of CS are demonstrated. Chapter 4 shows how CS benefits spectroscopic 19F imaging at 7 T, allowing a significant reduction of measurement times during in vivo experiments. Furthermore, it allows highly resolved spectroscopic 3D imaging in acceptable measurement times for in vivo applications. Chapter 5 introduces an extension of the Strict DC method called CS-CC (CS on Combined Coils), which allows efficient processing of sparse undersampled multi-coil data. It takes advantage of a concept named "Joint Sparsity", which exploits the fact that all channels of a coil array detect the same sparse object weighted with the coil sensitivity profiles. The practical use of this new algorithm is demonstrated in dynamic radial cardiac imaging. Accurate reconstructions of cardiac motion in free breathing without ECG triggering were obtained for high undersampling factors. An Iterative GRAPPA algorithm is introduced in Chapter 6 that can recover undersampled data from arbitrary (Non-Cartesian) trajectories and works solely in the Cartesian plane. This characteristic makes the proposed Iterative GRAPPA computationally more efficient than SPIRiT. Iterative GRAPPA was developed in a preceding step to combine parallel imaging with CS. Optimal parameters for Iterative GRAPPA (e.g. number of iterations, GRAPPA kernel size) were determined in phantom experiments and verified by retrospectively undersampling and reconstructing a radial cardiac cine dataset. The synergistic combination of the coil-by-coil Strict DC CS method and Iterative GRAPPA called CS-GRAPPA is presented in Chapter 7. CS-GRAPPA allows accurate reconstruction of undersampled data from even higher acceleration factors than each individual method. It is a formulation equivalent to L1-SPIRiT but computationally more efficient. Additionally, a comparison with CS-CC is given. Interestingly, exploiting joint sparsity in CS-CC is slightly more efficient than the proposed CS-GRAPPA, a hybrid of parallel imaging and CS. The last chapter of this thesis concludes the findings presented in this dissertation. Future applications expected to benefit from CS are discussed and possible synergistic combinations with other existing MR methodologies for accelerated imaging are also contemplated.},
  subject      = {NMR-Tomographie},
  language  = {en}
}
@phdthesis{Ehses2011,
  author    = {Ehses, Philipp},
  title     = {Development of new Acquisition Strategies for fast Parameter Quantification in Magnetic Resonance Imaging},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-72531},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {Magnetic resonance imaging (MRI) is a medical imaging method that involves no ionizing radiation and can be used non-invasively. Another important - if not the most important - reason for the widespread and increasing use of MRI in clinical practice is its interesting and highly flexible image contrast, especially of biological tissue. The main disadvantages of MRI, compared to other widespread imaging modalities like computed tomography (CT), are long measurement times and the directly resulting high costs. In the first part of this work, a new technique for accelerated MRI parameter mapping using a radial IR TrueFISP sequence is presented. IR TrueFISP is a very fast method for the simultaneous quantification of proton density, the longitudinal relaxation time T1, and the transverse relaxation time T2. Chapter 2 presents speed improvements to the original IR TrueFISP method. Using a radial view-sharing technique, it was possible to obtain a full set of relaxometry data in under 6 s per slice. Furthermore, chapter 3 presents the investigation and correction of two major sources of error of the IR TrueFISP method, namely magnetization transfer and imperfect slice profiles. In the second part of this work, a new MRI thermometry method is presented that can be used in MRI-safety investigations of medical implants, e.g. cardiac pacemakers and implantable cardioverter-defibrillators (ICDs). One of the major safety risks associated with MRI examinations of pacemaker and ICD patients is RF induced heating of the pacing electrodes. The design of MRI-safe (or MRI-conditional) pacing electrodes requires elaborate testing. In a first step, many different electrode shapes, electrode positions and sequence parameters are tested in a gel phantom with its geometry and conductivity matched to a human body. The resulting temperature increase is typically observed using temperature probes that are placed at various positions in the gel phantom. An alternative to this local thermometry approach is to use MRI for the temperature measurement. Chapter 5 describes a new approach for MRI thermometry that allows MRI thermometry during RF heating caused by the MRI sequence itself. Specifically, a proton resonance frequency (PRF) shift MRI thermometry method was combined with an MR heating sequence. The method was validated in a gel phantom, with a copper wire serving as a simple model for a medical implant.},
  subject      = {Kernspintomografie},
  language  = {en}
}
@phdthesis{Pillai2011,
  author    = {Pillai, Deepu},
  title     = {Differential effects of Pigment epithelium derived factor and epidermal growth factor on Ischemia-reperfusion injury in rats - a magnetic resonance imaging study at 3 tesla},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-57341},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {Stroke, after myocardial infarction and cancer is the third most common cause of death worldwide and 1/6th of all human beings will suffer at least one stroke in their lives. Furthermore, it is the leading cause for adult disability with approximately one third of patients who survive for the next 6 months are dependent on others. Because of its huge socioeconomic burden absorbing 6\% of all health care budgets and with the fact that life expectancy increases globally, one can assume that stroke is already, and will continue to be, the most challenging disease. Ischemic stroke accounts for approximately 80\% of all strokes and results from a thrombotic or embolic occlusion of a major cerebral artery (most often the middle cerebral artery, MCA) or its branches Following acute ischemic stroke, the most worrisome outcome is the rapidly increasing intra-cranial pressure due to the formation of space-occupying vasogenic oedema which can have lethal consequences. Permeability changes at the Blood-Brain Barrier (BBB) usually accompanies the oedematous development and their time course can provide invaluable insight into the nature of the insult, activation of compensatory mechanisms followed by long term repair. Rodent models of focal cerebral ischemia have been developed and optimized to mimic human stroke conditions and serve as indispensable tools in the field of stroke research. The presented work constituting of three separate but complete works by themselves are sequential, where, the first part was dedicated to the establishment of non-invasive small animal imaging strategies on a 3 tesla clinical magnetic resonance scanner. This facilitated the longitudinal monitoring of pathological outcomes following stroke where identical animals can serve as its own control. Tissue relaxometric estimations were carried out initially to derive the transverse (T2), longitudinal (T1) and the transverse relaxation time due to magnetic susceptibility effects (T2*) at the cortical and striatal regions of the rodent brain. Statistically significant differences in T2*-values could be found between the cortex and striatal regions of the rodent brain. The derived tissue relaxation values were considered to modify the existing imaging protocols to facilitate the study of the rodent model of ischemic stroke. The modified sequence protocols adequately characterized all the clinically relevant sequels following acute ischemic stroke, like, the altered perfusion and diffusion characteristics. Subsequent to this, serial magnetic resonance imaging was performed to investigate the temporal and spatial relationship between the biphasic nature of BBB opening and, in parallel, the oedema formation after I/R injury in rats. T2-relaxometry for oedema assessment was performed at 1 h after ischemia, immediately following reperfusion, and at 4, 24 and 48 hours post reperfusion. Post-contrast T1-weighted imaging was performed at the last three time points to assess BBB integrity. The biphasic course of BBB opening with significant reduction in BBB permeability at 24 hours after reperfusion was associated with a progressive expansion of leaky BBB volume, accompanied by a peak ipsilateral oedema formation. At 48 hours, the reduction in T2-value indicated oedema resorption accompanied by a second phase of BBB opening. In addition, at 4 hours after reperfusion, oedema formation could also be detected at the contralateral striatum which persisted to varying degrees throughout the study, indicative of widespread effects of I/R injury. The observations of this study may indicate a dynamic temporal shift in the mechanisms responsible for biphasic BBB permeability changes, with non-linear relations to oedema formation. Two growth factor peptides namely pigment epithelium derived factor (PEDF) and epidermal growth factor (EGF) with widely different trophic properties were considered for their beneficial effects, if any, in the established rodent model of I/R injury and studied up to one week employing magnetic resonance imaging. Both the selected, trophic factors demonstrated significant neuroprotection as demonstrated by a reduction in infarct volume, even though PEDF was found to be the most potent one. PEDF also demonstrated significant attenuation of oedema formation in comparison to both the control and EGF groups, even though EGF could also demonstrate oedema suppression. In the present work, we noticed that interventions with macromolecule protein/peptides by itself could mediate remote oedema at distant sites even though the significance of such an observation is not clear at present. Susceptibility (T2*) weighted tissue relaxometric estimations were considered at the infarct region to detect any metabolic changes arising out of any neuroprotection and/or cellular proliferation / neurogenesis. PEDF group demonstrated a striking reduction of the T2*-values, which is indicative of an increased metabolic activity. Moreover, all the groups (Control, EGF and PEDF) demonstrated significantly elevated T2*-values at the contralateral striatum, which is indicative of widespread metabolic suppression usually associated with a variety of traumatic brain conditions. Moreover, as expected from the properties of PEDF, it demonstrated an extended BBB permeability suppression throughout the duration of the study. This study underlines the merits of considering non-invasive imaging strategies without which it was not possible to study the required parameters in a longitudinal fashion. All the observations are adequately supported by reasonably well defined mechanisms and needs to be further verified and confirmed by an immunohistochemical study. These results also need to be complemented by a functional study to evaluate the behavioural outcome of animals following these treatments. These studies are progressing at our laboratory and the results will be duly published afterwards.},
  subject      = {Schlaganfall},
  language  = {en}
}
@article{PhamHelluyBraeuningeretal.2010,
  author    = {Pham, Mirko and Helluy, X. and Braeuninger, S. and Jakob, P. and Stoll, G. and Kleinschnitz, Christoph and Bendszus, M.},
  title     = {Outcome of experimental stroke in C57Bl/6 and Sv/129 mice assessed by multimodal ultra-high field MRI},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-68115},
  year      = {2010},
  abstract  = {Transgenic mice bred on C57Bl/6 or Sv/129 genetic background are frequently used in stroke research. It is well established that variations in cerebrovascular anatomy and hemodynamics can influence stroke outcome in different inbred mouse lines. We compared stroke development in C57Bl/6 and Sv/129 mice in the widely used model of transient middle cerebral artery occlusion (tMCAO) by multimodal ultra-high field magnetic resonance imaging (MRI). C57Bl/6 and Sv/129 mice underwent 60 min of tMCAO and were analyzed by MRI 2 h and 24 h afterwards. Structural and functional images were registered to a standard anatomical template. Probability maps of infarction were rendered by automated segmentation from quantitative T2-relaxometric images. Whole-brain segmentation of infarction was accomplished manually on high-resolution T2-weighted (T2-w) RARE images. Cerebral perfusion (cerebral blood flow, CBF) was measured quantitatively by modified continuous arterial-spin-labeling (CASL) and apparent diffusion coefficients (ADC) by spin-echo diffusion-weighted imaging (DWI). Probabilities of cortical (95.1\% ± 3.1 vs. 92.1\% ± 2.5; p > 0.05) and subcortical (100\% vs. 100\%; p > 0.05) infarctions at 24 h were similar in both groups as was the whole-brain volumetric extent of cerebral infarction. In addition, CBF and ADC values did not differ between C57Bl/6 and Sv/129 mice at any time point or region of interest. The C57Bl/6 and Sv/129 genetic background is no major confounding factor of infarct size and cerebral perfusion in the tMCAO model.},
  subject      = {NMR-Tomographie},
  language  = {en}
}
@phdthesis{Geissinger2010,
  author    = {Geissinger, Ulrike},
  title     = {Vaccinia Virus-mediated MR Imaging of Tumors in Mice: Overexpression of Iron-binding Proteins in Colonized Xenografts},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-48099},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2010},
  abstract  = {Vaccinia virus plays an important role in human medicine and molecular biology ever since the 18th century after E. Jenner discovered its value as a vaccination virus against smallpox. After the successful eradication of smallpox, vaccinia virus, apart from its use as a vaccine carrier, is today mainly used as a viral vector in molecular biology and increasingly in cancer therapy. The capability to specifically target and destroy cancer cells makes it a perfect agent for oncolytic virotherapy. Furthermore, the virus can easily be modified by inserting genes encoding therapeutic or diagnostic proteins to be expressed within the tumor. The emphasis in this study was the diagnosis of tumors using different vaccinia virus strains. Viruses with metal-accumulating capabilities for tumor detection via MRI technology were generated and tested for their usefulness in cell culture and in vivo. The virus strains GLV-1h131, GLV-1h132, and GLV-1h133 carry the gene encoding the two subunits of the iron storage protein ferritin under the control of three different promoters. GLV-1h110, GLV-1h111, and GLV-1h112 encode the bacterial iron storage protein bacterioferritin, whereas GLV-1h113 encodes the codon-optimized version of bacterioferritin for more efficient expression in human cells. GLV-1h22 contains the transferrin receptor gene, which plays an important role in iron uptake, and GLV-1h114 and GLV-1h115 contain the murine transferrin receptor gene. For possibly better iron uptake the virus strains GLV-1h154, GLV-1h155, GLV-1h156, and GLV-1h157 were generated, each with a version of a ferritin gene and a transferrin receptor gene. GLV-1h154 carries the genes that encode bacterioferritin and human transferrin receptor, GLV-1h155 the human ferritin H-chain gene and the human transferrin receptor gene. GLV-1h156 and GLV-1h157 infected cells both express the mouse transferrin receptor and bacterioferritin or human ferritin H-chain, respectively. The virus strains GLV-1h186 and GLV-1h187 were generated to contain a mutated form of the ferritin light chain, which was shown to result in iron overload and the wildtype light chain gene, respectively. The gene encoding the Divalent Metal Transporter 1, which is a major protein in the uptake of iron, was inserted in the virus strain GLV-1h102. The virus strain GLV-1h184 contains the magA gene of the magnetotactic bacterium Magnetospirillum magnetotacticum, which produces magnetic nanoparticles for orientation in the earth's magnetic field. Initially the infection and replication capability of all the virus strains were analyzed and compared to that of the parental virus strain GLV-1h68, revealing that all the viruses were able to infect cells of the human cancer cell lines A549 and GI-101A. All constructs exhibited a course of infection comparable to that of GLV-1h68. Next, to investigate the expression of the foreign proteins in GI-101A and A549 cells with protein analytical methods, SDS-gelelectrophoresis, Western blots and ELISAs were performed. The proteins, which were expressed under the control of the strong promoters, could be detected using these methods. To be able to successfully detect the protein expression of MagA and DMT1, which were expressed under the control of the weak promoter, the more sensitive method RT-PCR was used to at least confirm the transcription of the inserted genes. The determination of the iron content in infected GI-101A and A549 cells showed that infection with all used virus strains led to iron accumulation in comparison to uninfected cells, even infection with the parental virus strain GLV-1h68. The synthetic phytochelatin EC20 was also shown to enhance the accumulation of different heavy metals in bacterial cultures. In vivo experiments with A549 tumor-bearing athymic nude mice revealed that 24 days post infection virus particles were found mainly in the tumor. The virus-mediated expression of recombinant proteins in the tumors was detected successfully by Western blot. Iron accumulation in tumor lysates was investigated by using the ferrozine assay and led to the result that GLV-1h68-infected tumors had the highest iron content. Histological stainings confirmed the finding that iron accumulation was not a direct result of the insertion of genes encoding iron-accumulating proteins in the virus genome. Furthermore virus-injected tumorous mice were analyzed using MRI technology. Two different measurements were performed, the first scan being done with a seven Tesla small animal scanner seven days post infection whereas the second scan was performed using a three Tesla human scanner 21 days after virus injection. Tumors of mice injected with the virus strains GLV-1h113 and GLV-1h184 were shown to exhibit shortened T2 and T2* relaxation times, which indicates enhanced iron accumulation. In conclusion, the experiments in this study suggest that the bacterioferritin-encoding virus strain GLV-1h113 and the magA-encoding virus strain GLV-1h184 are promising candidates to be used for cancer imaging after further analyzation and optimization.},
  subject      = {Vaccinia-Virus},
  language  = {en}
}
@phdthesis{Parczyk2010,
  author    = {Parczyk, Marco},
  title     = {In vivo NMR-methods to study effects of atherosclerosis in mice},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-53302},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2010},
  abstract  = {Background Transgenic mouse models are increasingly used to study the pathophysiology of human cardiovascular diseases. The aortic pulse wave velocity (PWV) is an indirect measure for vascular stiffness and a marker for cardiovascular risk. Results This work presents three MR-methods that allow the determination of the PWV in the descending murine aorta by analyzing blood flow waveforms, arterial distension waveforms, and a method that uses the combination of flow and distension waveforms. Systolic flow pulses were recorded with a temporal resolution of 1 ms applying phase velocity encoding. In a first step, the MR methods were validated by pressure waveform measurements on pulsatile elastic vessel phantoms. In a second step, the MR methods were applied to measure PWVs in a group of five eight-month-old apolipoprotein E deficient (ApoE(-/-)) mice and an age matched group of four C57Bl/6J mice. The ApoE(-/-) group had a higher mean PWV than the C57Bl/6J group. Depending on the measurement technique, the differences were or were not statistically significant. Conclusions The findings of this study demonstrate that high field MRI is applicable to non-invasively determine and distinguish PWVs in the arterial system of healthy and diseased groups of mice.},
  subject      = {Arteriosklerose},
  language  = {en}
}
@phdthesis{Neuberger2008,
  author    = {Neuberger, Thomas},
  title     = {Magnetic Resonance Imaging and Spectroscopy at ultra high fields},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-36670},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2008},
  abstract  = {The goal of the work presented in this thesis was to explore the possibilities and limitations of MRI / MRS using an ultra high field of 17.6 tesla. A broad range of specific applications and MR methods, from MRI to MRSI and MRS were investigated. The main foci were on sodium magnetic resonance spectroscopic imaging of rodents, magnetic resonance spectroscopy of the mouse brain, and the detection of small amounts of iron labeled stem cells in the rat brain using MRI Sodium spectroscopic imaging was explored since it benefits tremendously from the high magnetic field. Due to the intrinsically low signal in vivo, originating from the low concentrations and short transverse relaxation times, only limited results have been achieved by other researchers until now. Results in the literature include studies conducted on large animals such as dogs to animals as small as rats. No studies performed on mice have been reported, despite the fact that the mouse is the most important laboratory animal due to the ready availability of transgenic strains. Hence, this study concentrated on sodium MRSI of small rodents, mostly mice (brain, heart, and kidney), and in the case of the brain on young rats. The second part of this work concentrated on proton magnetic resonance spectroscopy of the rodent brain. Due to the high magnetic field strength not only the increasing signal but also the extended spectral resolution was advantageous for such kind of studies. The difficulties/limitations of ultra high field MRS were also investigated. In the last part of the presented work detection limits of iron labeled stem cells in vivo using magnetic resonance imaging were explored. The studies provided very useful benchmarks for future researchers in terms of the number of labeled stem cells that are required for high-field MRI studies. Overall this work has shown many of the benefits and the areas that need special attention of ultra high fields in MR. Three topics in MRI, MRS and MRSI were presented in detail. Although there are significant additional difficulties that have to be overcome compared to lower frequencies, none of the work presented here would have been possible at lower field strengths.},
  subject      = {NMR-Tomographie},
  language  = {en}
}
@phdthesis{Heidemann2008,
  author    = {Heidemann, Robin},
  title     = {Non-Cartesian Parallel Magnetic Resonance Imaging},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-26893},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2008},
  abstract  = {Besides image contrast, imaging speed is probably the most important consideration in clinical magnetic resonance imaging (MRI). MR scanners currently operate at the limits of potential imaging speed, due to technical and physiological problems associated with rapidly switched gradient systems. Parallel imaging (parallel MRI or pMRI) is a method which allows one to significantly shorten the acquisition time of MR images without changing the contrast behavior of the underlying MR sequence. The accelerated image acquisition in pMRI is accomplished without relying on more powerful technical equipment or exceeding physiological boundaries. Because of these properties, pMRI is currently employed in many clinical routines, and the number of applications where pMRI can be used to accelerate imaging is increasing. However, there is also growing criticism of parallel imaging in certain applications. The primary reason for this is the intrinsic loss in the SNR due to the accelerated acquisition. In addition, other effects can also lead to a reduced image quality. Due to unavoidable inaccuracies in the pMRI reconstruction process, local and global errors may appear in the final reconstructed image. The local errors are visible as noise enhancement, while the global errors result in the so-called fold-over artifacts. The appearance and strength of these negative effects, and thus the image quality, depend upon different factors, such as the parallel imaging method chosen, specific parameters in the method, the sequence chosen, as well as specific sequence parameters. In general, it is not possible to optimize all of these parameters simultaneously for all applications. The application of parallel imaging in can lead to very pronounced image artifacts, i.e. parallel imaging can amplify errors. On the other hand, there are applications such as abdominal MR or MR angiography, in which parallel imaging does not reconstruct images robustly. Thus, the application of parallel imaging leads to errors. In general, the original euphoria surrounding parallel imaging in the clinic has been dampened by these problems. The reliability of the pMRI methods currently implemented is the main criticism. Furthermore, it has not been possible to significantly increase the maximum achievable acceleration with parallel imaging despite major technical advances. An acceleration factor of two is still standard in clinical routine, although the number of independent receiver channels available on most MR systems (which are a basic requirement for the application of pMRI) has increased by a factor of 3-6 in recent years. In this work, a novel and elegant method to address this problem has been demonstrated. The idea behind the work is to combine two methods in a synergistic way, namely non-Cartesian acquisition schemes and parallel imaging. The so-called non-Cartesian acquisition schemes have several advantages over standard Cartesian acquisitions, in that they are often faster and less sensitive to physiological noise. In addition, such acquisition schemes are very robust against fold-over artifacts even in the case of vast undersampling of k-space. Despite the advantages described above, non-Cartesian acquisition schemes are not commonly employed in clinical routines. A reason for that is the complicated reconstruction techniques which are required to convert the non-Cartesian data to a Cartesian grid before the fast Fourier transformation can be employed to arrive at the final MR image. Another reason is that Cartesian acquisitions are routinely accelerated with parallel imaging, which is not applicable for non-Cartesian MR acquisitions due to the long reconstruction times. This negates the speed advantage of non-Cartesian acquisition methods. Through the development of the methods presented in this thesis, reconstruction times for accelerated non-Cartesian acquisitions using parallel imaging now approach those of Cartesian images. In this work, the reliability of such methods has been demonstrated. In addition, it has been shown that higher acceleration factors can be achieved with such techniques than possible with Cartesian imaging. These properties of the techniques presented here lead the way for an implementation of such methods on MR scanners, and thus also offer the possibility for their use in clinical routine. This will lead to shorter examination times for patients as well as more reliable diagnoses.},
  subject      = {NMR-Bildgebung},
  language  = {en}
}
@phdthesis{Seiberlich2008,
  author    = {Seiberlich, Nicole},
  title     = {Advances in Non-Cartesian Parallel Magnetic Resonance Imaging using the GRAPPA Operator},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-28321},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2008},
  abstract  = {Magnetic Resonance Imaging (MRI) is an imaging modality which provides anatomical or functional images of the human body with variable contrasts in an arbitrarily positioned slice without the need for ionizing radiation. In MRI, data are not acquired directly, but in the reciprocal image space (otherwise known as k-space) through the application of spatially variable magnetic field gradients. The k-space is made up of a grid of data points which are generally acquired in a line-by-line fashion (Cartesian imaging). After the acquisition, the k-space data are transformed into the image domain using the Fast Fourier Transformation (FFT). However, the acquisition of data is not limited to the rectilinear Cartesian sampling scheme described above. Non-Cartesian acquisitions, where the data are collected along exotic trajectories, such as radial and spiral, have been shown to be beneficial in a number of applications. However, despite their additional properties and potential advantages, working with non-Cartesian data can be complicated. The primary difficulty is that non-Cartesian trajectories are made up of points which do not fall on a Cartesian grid, and a simple and fast FFT algorithm cannot be employed to reconstruct images from non-Cartesian data. In order to create an image, the non-Cartesian data are generally resampled on a Cartesian grid, an operation known as gridding, before the FFT is performed. Another challenge for non-Cartesian imaging is the combination of unusual trajectories with parallel imaging. This thesis has presented several new non-Cartesian parallel imaging methods which simplify both gridding and the reconstruction of images from undersampled data. In Chapter 4, a novel approach which uses the concepts of parallel imaging to grid data sampled along a non-Cartesian trajectory called GRAPPA Operator Gridding (GROG) is described. GROG shifts any acquired k-space data point to its nearest Cartesian location, thereby converting non-Cartesian to Cartesian data. The only requirements for GROG are a multi-channel acquisition and a calibration dataset for the determination of the GROG weights. Chapter 5 discusses an extension of GRAPPA Operator Gridding, namely Self-Calibrating GRAPPA Operator Gridding (SC-GROG). SC-GROG is a method by which non-Cartesian data can be gridded using spatial information from a multi-channel coil array without the need for an additional calibration dataset, as required in standard GROG. Although GROG can be used to grid undersampled datasets, it is important to note that this method uses parallel imaging only for gridding, and not to reconstruct artifact-free images from undersampled data. Chapter 6 introduces a simple, novel method for performing modified Cartesian GRAPPA reconstructions on undersampled non-Cartesian k-space data gridded using GROG to arrive at a non-aliased image. Because the undersampled non-Cartesian data cannot be reconstructed using a single GRAPPA kernel, several Cartesian patterns are selected for the reconstruction. Finally, Chapter 7 discusses a novel method of using GROG to mimic the bunched phase encoding acquisition (BPE) scheme. In MRI, it is generally assumed that an artifact-free image can be reconstructed only from sampled points which fulfill the Nyquist criterion. However, the BPE reconstruction is based on the Generalized Sampling Theorem of Papoulis, which states that a continuous signal can be reconstructed from sampled points as long as the points are on average sampled at the Nyquist frequency. A novel method of generating the "bunched" data using GRAPPA Operator Gridding (GROG), which shifts datapoints by small distances in k-space using the GRAPPA Operator instead of employing zig-zag shaped gradients, is presented in this chapter. With the conjugate gradient reconstruction method, these additional "bunched" points can then be used to reconstruct an artifact-free image from undersampled data. This method is referred to as GROG-facilitated Bunched Phase Encoding, or GROG-BPE.},
  subject      = {NMR-Tomographie},
  language  = {en}
}