@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{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{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}
}