@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{Heymer2008,
  author    = {Heymer, Andrea},
  title     = {Chondrogenic differentiation of human mesenchymal stem cells and articular cartilage reconstruction},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-29448},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2008},
  abstract  = {Articular cartilage defects are still one of the major challenges in orthopedic and trauma surgery. Today, autologous chondrocyte transplantation (ACT), as a cell-based therapy, is an established procedure. However, one major limitation of this technique is the loss of the chondrogenic phenotype during expansion. Human mesenchymal stem cells (hMSCs) have an extensive proliferation potential and the capacity to differentiate into chondrocytes when maintained under specific conditions. They are therefore considered as candidate cells for tissue engineering approaches of functional cartilage tissue substitutes. First in this study, hMSCs were embedded in a collagen type I hydrogel to evaluate the cartilaginous construct in vitro. HMSC collagen hydrogels cultivated in different culture media showed always a marked contraction, most pronounced in chondrogenic differentiation medium supplemented with TGF-ß1. After stimulation with chondrogenic factors (dexamethasone and TGF-ß1) hMSCs were able to undergo chondrogenesis when embedded in the collagen type I hydrogel, as evaluated by the temporal induction of cartilage-specific gene expression. Furthermore, the cells showed a chondrocyte-like appearance and were homogeneously distributed within a proteoglycan- and collagen type II-rich extracellular matrix, except a small area in the center of the constructs. In this study, chondrogenic differentiation could not be realized with every hMSC preparation. With the improvement of the culture conditions, e.g. the use of a different FBS lot in the gel fabrication process, a higher amount of cartilage-specific matrix deposition could be achieved. Nevertheless, the large variations in the differentiation capacity display the high donor-to-donor variability influencing the development of a cartilaginous construct. Taken together, the results demonstrate that the collagen type I hydrogel is a suitable carrier matrix for hMSC-based cartilage regeneration therapies which present a promising future alternative to ACT. Second, to further improve the quality of tissue-engineered cartilaginous constructs, mechanical stimulation in specific bioreactor systems are often employed. In this study, the effects of mechanical loading on hMSC differentiation have been examined. HMSC collagen hydrogels were cultured in a defined chondrogenic differentiation medium without TGF-ß1 and subjected to a combined mechanical stimulation protocol, consisting of perfusion and cyclic uniaxial compression. Bioreactor cultivation neither affected overall cell viability nor the cell number in collagen hydrogels. Compared with non-loaded controls, mechanical loading promoted the gene expression of COMP and biglycan and induced an up-regulation of matrix metalloproteinase 3. These results circumstantiate that hMSCs are sensitive to mechanical forces, but their differentiation to chondrocytes could not be induced. Further studies are needed to identify the specific metabolic pathways which are altered by mechanical stimulation. Third, for the development of new cell-based therapies for articular cartilage repair, a reliable cell monitoring technique is required to track the cells in vivo non-invasively and repeatedly. This study aimed at analyzing systematically the performance and biological impact of a simple and efficient labeling protocol for hMSCs. Very small superparamagnetic iron oxide particles (VSOPs) were used as magnetic resonance (MR) contrast agent. Iron uptake was confirmed histologically with prussian blue staining and quantified by mass spectrometry. Compared with unlabeled cells, VSOP-labeling did neither influence significantly the viability nor the proliferation potential of hMSCs. Furthermore, iron incorporation did not affect the differentiation capacity of hMSCs. The efficiency of the labeling protocol was assessed with high resolution MR imaging at 11.7 Tesla. VSOP-labeled hMSCs were visualized in a collagen type I hydrogel indicated by distinct hypointense spots in the MR images, resulting from an iron specific loss of signal intensity. This was confirmed by prussian blue staining. In summary, this labeling technique has great potential to visualize hMSCs and track their migration after transplantation for articular cartilage repair with MR imaging.},
  subject      = {Gelenkknorpel},
  language  = {en}
}
@phdthesis{Breuer2006,
  author    = {Breuer, Felix},
  title     = {Development and Applications of Efficient Strategies for Parallel Magnetic Resonance Imaging},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-20683},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2006},
  abstract  = {Virtually all existing MRI applications require both a high spatial and high temporal resolution for optimum detection and classification of the state of disease. The main strategy to meet the increasing demands of advanced diagnostic imaging applications has been the steady improvement of gradient systems, which provide increased gradient strengths and faster switching times. Rapid imaging techniques and the advances in gradient performance have significantly reduced acquisition times from about an hour to several minutes or seconds. In order to further increase imaging speed, much higher gradient strengths and much faster switching times are required which are technically challenging to provide. In addition to significant hardware costs, peripheral neuro-stimulations and the surpassing of admissable acoustic noise levels may occur. Today's whole body gradient systems already operate just below the allowed safety levels. For these reasons, alternative strategies are needed to bypass these limitations. The greatest progress in further increasing imaging speed has been the development of multi-coil arrays and the advent of partially parallel acquisition (PPA) techniques in the late 1990's. Within the last years, parallel imaging methods have become commercially available,and are therefore ready for broad clinical use. The basic feature of parallel imaging is a scan time reduction, applicable to nearly any available MRI method, while maintaining the contrast behavior without requiring higher gradient system performance. PPA operates by allowing an array of receiver surface coils, positioned around the object under investigation, to partially replace time-consuming spatial encoding which normally is performed by switching magnetic field gradients. Using this strategy, spatial resolution can be improved given a specific imaging time, or scan times can be reduced at a given spatial resolution. Furthermore, in some cases, PPA can even be used to reduce image artifacts. Unfortunately, parallel imaging is associated with a loss in signal-to-noise ratio (SNR) and therefore is limited to applications which do not already operate at the SNR limit. An additional limitation is the fact that the coil array must provide sufficient sensitivity variations throughout the object under investigation in order to offer enough spatial encoding capacity. This doctoral thesis exhibits an overview of my research on the topic of efficient parallel imaging strategies. Based on existing parallel acquisition and reconstruction strategies, such as SENSE and GRAPPA, new concepts have been developed and transferred to potential clinical applications.},
  subject      = {NMR-Bildgebung},
  language  = {en}
}
@phdthesis{Homola2011,
  author    = {Homola, Gy{\"o}rgy {\´A}d{\´a}m},
  title     = {Functional and Microstructural MRI of the Human Brain Revealing a Cerebral Network Processing the Age of Faces},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-56740},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {Although age is one of the most salient and fundamental aspects of human faces, its processing in the brain has not yet been studied by any neuroimaging experiment. Automatic assessment of temporal changes across faces is a prerequisite to identifying persons over their life-span, and age per se is of biological and social relevance. Using a combination of evocative face morphs controlled for global optical flow and functional magnetic resonance imaging (fMRI), we segregate two areas that process changes of facial age in both hemispheres. These areas extend beyond the previously established face-sensitive network and are centered on the posterior inferior temporal sulcus (pITS) and the posterior angular gyrus (pANG), an evolutionarily new formation of the human brain. Using probabilistic tractography and by calculating spatial cross-correlations as well as creating minimum intersection maps between activation and connectivity patterns we demonstrate a hitherto unrecognized link between structure and function in the human brain on the basis of cognitive age processing. According to our results, implicit age processing involves the inferior temporal sulci and is, at the same time, closely tied to quantity decoding by the presumed neural systems devoted to magnitudes in the human parietal lobes. The ventral portion of Wernicke's largely forgotten perpendicular association fasciculus is shown not only to interconnect these two areas but to relate to their activations, i.e. to transmit age-relevant information. In particular, post-hoc age-rating competence is shown to be associated with high response levels in the left angular gyrus. Cortical activation patterns related to changes of facial age differ from those previously elicited by other fixed as well as changeable face aspects such as gender (used for comparison), ethnicity and identity as well as eye gaze or facial expressions. We argue that this may be due to the fact that individual changes of facial age occur ontogenetically, unlike the instant changes of gaze direction or expressive content in faces that can be "mirrored" and require constant cognitive monitoring to follow. Discussing the ample evidence for distinct representations of quantitative age as opposed to categorical gender varied over continuous androgyny levels, we suggest that particular face-sensitive regions interact with additional object-unselective quantification modules to obtain individual estimates of facial age.},
  subject      = {Gesicht},
  language  = {en}
}
@phdthesis{Purea2008,
  author    = {Purea, Edmund Armin},
  title     = {New Methods and Applications in Nuclear Magnetic Resonance Microscopy using small RF Coils},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-31066},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2008},
  abstract  = {Nuclear magnetic resonance (NMR) imaging is a well-established imaging technique. If the achieved spatial resolution is below 100 um, it is usually denoted as magnetic resonance microscopy (MRM). The spatial resolution limit is on the order of a few um. As a downside, high resolution imaging is usually time-consuming and technological requirements are very sumptuous. Furthermore, miniaturization of the radiofrequency (RF) coil leading to a so-called microcoil is necessary; it also brings along detrimental effects. Therefore, there is a high potential for optimizing present MRM methods. Hence it is the aim of this work to improve and further develop present methods in MRM with focus on the RF coil and to apply those methods on new biological applications. All experiments were conducted on a Bruker 17.6 T system with a maximum gradient strength of 1 T/m and four RF receiver channels. Minimizing the RF coil dimensions, leads to increased artefacts due to differences in magnetic susceptibility of the coil wire and surrounding air. Susceptibility matching by immersing the coil in FC-43 is the most common approach that fulfills the requirements of most applications. However, hardly any alternatives are known for cases where usage of FC-43 is not feasible due to its specific disadvantages. Two alternative substances (bromotricholoromethane and Fomblin Y25) were presented and their usability was checked by susceptibility determination and demonstration experiments after shimming under practical conditions. In a typical MRM microcoil experiment, the sample volume is significantly smaller than the maximum volume usable for imaging. This mismatch has been optimized in order to increase the experiment efficiency by increasing the number of probe coils and samples used. A four-channel probehead consisting of four individual solenoid coils suited for cellular imaging of Xenopus laevis oocytes was designed, allowing simultaneous acquisition from four samples. All coils were well isolated and allowed quantitative image acquisition with the same spatial resolution as in single coil operation. This method has also been applied in other studies for increased efficiency: using X. laevis oocytes as a single cell model, the effect of chemical fixation on intracellular NMR relaxation times T1 and T2 and on diffusion was studied for the first time. Significant reduction of relaxation times was found in all cell compartments; after reimmersion in buffer, values return close to the initial values, but there were small but statistically significant differences due to residual formaldehyde. Embryos of the same species have been studied morphologically in different developmental stages. Wild type embryos were compared to embryos that had experienced variations in protein levels of chromosomal proteins HMGN and H1A. Significant differences were found between wild type and HMGN-modified embryos, while no difference was observed between wild type and H1-modified embryos. These results were concordant with results obtained from light microscopy and histology. The technique of molecular imaging was also performed on X. laevis embryos. Commercially available antibodies coupled to ultrasmall superparamagnetic iron oxide (USPIO) dextrane coated particles (MACS) served as a specific probe detectable by MRM, the aim being the detection of tissue specific contrast variations. Initially, the relaxivity of MACS was studied and compared to Resovist and VSOP particles. The iron concentration was determined quantitatively by using a general theoretical approach and results were compared to values obtained from mass spectroscopy. After incubation with MACS antibodies, intraembryonal relaxation times were determined in different regions of the embryo. These values allowed determination of local iron oxide particle concentrations, and specific binding could be distinguished from unspecific binding. Although applications in this work were focused on X. laevis oocytes and embryos, 3D-imaging on a beewolf head was also carried out in order to visualize the postpharyngeal gland. Additionally, an isolated beewolf antenna was imaged with a spatial resolution of (8 um)^3 for depiction of the antennal glands by using a microcoil that was specially designed for this sample. The experiments carried out in this work show that commercially available MRM systems can be significantly optimized by using small sample-adapted RF coils and by parallel operation of multiple coils, by which the sample throughput and thus time-efficiency is increased. With this optimized setup, practical use was demonstrated in a number of new biological applications.},
  subject      = {Magnetische Resonanz},
  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{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}
}