@phdthesis{Alkonyi2014,
  author    = {Alkonyi, Balint},
  title     = {Differential imaging characteristics and dissemination potential of pilomyxoid astrocytomas versus pilocytic astrocytomas},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-116062},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2014},
  abstract  = {Background and Aims: PMA is a recently described rare tumor entity occuring most often in young children. Due the worse outcome of PMA-patients as compared to children with pilocytic astrocytoma (PA), it has received a grade II assignment in the latest WHO classification. Nevertheless, increasing evidence suggests that the two tumor types are indeed pathologically and genetically related. The radiological differentiation of PMAs from PAs is challenging and the limited available data could not yet provide unequivocal distinguishing imaging features. Furthermore, it is not completely clarified whether PMA cases are associated with a higher rate of CSF dissemination compared to similarly young patients with PA. The aim of our study was firstly to compare MR/CT imaging features of these tumors, and secondly, to evaluate the occurrence of CSF dissemination. Material and Methods: The study population included 15 children with PMA and 32 children with PA. A third group consisted of eight children with PAs with focal pilomyxoid features. All cases had been registered in the German multicenter SIOP/HIT-LGG trials. The initial MRIs (and CT scans, if available) at establishing the diagnosis were retrospectively analyzed according to standardized criteria and the findings compared between PMAs and PAs. Furthermore, we compared the occurrence of imaging evidences of CSF tumor dissemination between children with PMA and PA, respectively. Results: The imaging appearance of PMAs and PAs was very similar. However, PAs tended to show more frequently cystic components (p=0.03). As opposed to PAs, PMAs did not have large tumor cysts. We did not find differences with respect to tumor size and tumor margin. Gadolinium enhancement of PMAs was significantly more frequently homogeneous (p=0.006). PMAs appeared to show more often intratumoral hemorrhages (p=0.047). Furthermore, suprasellar PMAs tended to have a more homogeneus texture on T2-weighted MR images (p=0.026). Within the subgroup < 6 years of age the PMA histology tended to have a larger effect on the occurrence of CSF dissemination than the age (p=0.05 vs.0.12). Conclusions: Although the radiological appearance of PMAs and PAs is similar, some imaging features, like enhancement pattern or presence of cysts or hemorrhage may help differentiating these low-grade gliomas. Our results corroborate previous scarce data suggesting higher rate of CSF dissemination in PMAs, even in the youngest patient population. Thus, in young children with a chiasmatic-hypothalamic tumor suggestive of a PMA, an intensive search for CSF dissemination along the entire neuraxis should be performed.},
  subject      = {Astrozytom},
  language  = {en}
}
@phdthesis{Bachschmidt2015,
  author    = {Bachschmidt, Theresa},
  title     = {Magnetic Resonance Imaging in Proximity to Metal Implants at 3 Tesla},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-135690},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2015},
  abstract  = {Magnetic resonance imaging is derogated by the presence of metal implants and image quality is impaired. Artifacts are categorized according to their sources, the differences in susceptibility between metal and tissue and the modulation of the magnetic radiofrequency (RF) transmit field. Generally, these artifacts are intensified at higher field strength. The purpose of this work is to analyze the efficiency of current methods used for metal artifact reduction at 3T and to investigate improvements. The impact of high-bandwidth RF pulses on susceptibility-induced artifacts is tested. In addition, the benefit of a two-channel transmit system with respect to shading close to total hip replacements and other elongated metal structures in parallel to the magnetic field is analyzed. Local transmit/receive coils feature a higher peak B1 amplitude than conventional body coils and thus enable high-bandwidth RF pulses. Susceptibility-induced through-plane distortion relates reciprocally to the RF bandwidth, which is evaluated in vitro for a total knee arthroplasty. Clinically relevant sequences (TSE and SEMAC) with conventional and high RF pulse bandwidths and different contrasts are tested on eight patients with different types of knee implants. Distortion is rated by two radiologists. An additional analysis assesses the capability of a local spine transmit coil. Furthermore, B1 effects close to elongated metal structures are described by an analytical model comprising a water cylinder and a metal rod, which is verified numerically and experimentally. The dependence of the optimal polarization of the transmit B1 field, creating minimum shading, on the position of the metal is analyzed. In addition, the optimal polarization is determined for two patients; its benefit compared to circular polarization is assessed. Phantom experiments confirm the relation of the RF bandwidth and the through-plane distortion, which can be reduced by up to 79\% by exploitation of a commercial local transmit/receive knee coil at 3T. On average, artifacts are rated "hardly visible" for patients with joint arthroplasties, when high-bandwidth RF pulses and SEMAC are used, and for patients with titanium fixtures, when high-bandwidth RF pulses are used in combination with TSE. The benefits of the local spine transmit coil are less compared to the knee coil, but enable a bandwidth 3.9 times as high as the body coil. The modulation of B1 due to metal is approximated well by the model presented and the position of the metal has strong influence on this effect. The optimal polarization can mitigate shading substantially. In conclusion, through-plane distortion and related artifacts can be reduced significantly by the application of high-bandwidth RF pulses by local transmit coils at 3T. Parallel transmission offers an option to substantially reduce shading close to long metal structures aligned with the magnetic field. Effective techniques dedicated for metal implant imaging at 3T are introduced in this work.},
  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{Carinci2017,
  author    = {Carinci, Flavio},
  title     = {Quantitative Characterization of Lung Tissue Using Proton MRI},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-151189},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2017},
  abstract  = {The focus of the work concerned the development of a series of MRI techniques that were specifically designed and optimized to obtain quantitative and spatially resolved information about characteristic parameters of the lung. Three image acquisition techniques were developed. Each of them allows to quantify a different parameter of relevant diagnostic interest for the lung, as further described below: 1) The blood volume fraction, which represents the amount of lung water in the intravascular compartment expressed as a fraction of the total lung water. This parameter is related to lung perfusion. 2) The magnetization relaxation time T\(_2\) und T� *\(_2\) , which represents the component of T\(_2\) associated with the diffusion of water molecules through the internal magnetic field gradients of the lung. Because the amplitude of these internal gradients is related to the alveolar size, T\(_2\) und T� *\(_2\) can be used to obtain information about the microstructure of the lung. 3) The broadening of the NMR spectral line of the lung. This parameter depends on lung inflation and on the concentration of oxygen in the alveoli. For this reason, the spectral line broadening can be regarded as a fingerprint for lung inflation; furthermore, in combination with oxygen enhancement, it provides a measure for lung ventilation.},
  subject      = {Kernspintomografie},
  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{Eirich2022,
  author    = {Eirich, Philipp},
  title     = {Accelerated non-Cartesian cardiovascular MR Imaging at 3T and 7T},
  doi       = {10.25972/OPUS-25397},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-253974},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {In this work, accelerated non-Cartesian Magnetic Resonance Imaging (MRI) methods were established and applied to cardiovascular imaging (CMR) at different magnetic field strengths (3T and 7T). To enable rapid data acquisition, highly efficient spiral k-space trajectories were created. In addition, hybrid sampling patterns such as the twisting radial lines (TWIRL) k-space trajectory were studied. Imperfections of the dynamic gradient system of a MR scanner result in k-space sampling errors. Ultimately, these errors can lead to image artifacts in non-Cartesian acquisitions. Among other reasons such as an increased reconstruction complexity, they cause the lack of spiral sequences in clinical routine compared to standard Cartesian imaging. Therefore, the Gradient System Transfer Functions (GSTFs) of both scanners were determined and used for k-space trajectory correction in post-correction as well as in terms of a pre-emphasis. The GSTF pre-emphasis was implemented as a fully automatic procedure, which enabled a precise correction of arbitrary gradient waveforms for double-oblique slice orientations. Consequently, artifacts due to trajectory errors could be mitigated, which resulted in high image quality in non-Cartesian MRI. Additionally, the GSTF correction was validated by measuring pre-emphasized spiral gradient outputs, which showed high agreement with the theoretical gradient waveforms. Furthermore, it could be demonstrated that the performance of the GSTF correction is superior to a simple delay compensation approach. The developed pulse sequences were applied to gated as well as real-time CMR. Special focus lied on the implementation of a spiral imaging protocol to resolve the beating heart of animals and humans in real time and free breathing. In order to achieve real-time CMR with high spatiotemporal resolution, k-space undersampling was performed. For this reason, efficient sampling strategies were developed with the aim to facilitate compressed sensing (CS) during image reconstruction. The applied CS approach successfully removed aliasing artifacts and yielded high-resolution cardiac image series. Image reconstruction was performed offline in all cases such that the images were not available immediately after acquisition at the scanner. Spiral real-time CMR could be performed in free breathing, which led to an acquisition time of less than 1 minute for a whole short-axis stack. At 3T, the results were compared to the gold standard of electrocardiogram-gated Cartesian CMR in breath hold, which revealed similar values for important cardiovascular functional and volumetric parameters. This paves the way to an application of the developed framework in clinical routine of CMR. In addition, the spiral real-time protocol was transferred to swallowing and speech imaging at 3T, and first images were presented. The results were of high quality and confirm the straightforward utilization of the spiral sequence in other fields of MRI. In general, the GSTF correction yielded high-quality images at both field strengths, 3T and 7T. Off-resonance related blurring was mitigated by applying non-Cartesian readout gradients of short duration. At 7T, however, B1-inhomogeneity led to image artifacts in some cases. All in all, this work demonstrated great advances in accelerating the MRI process by combining efficient, undersampled non-Cartesian k-space coverage with CS reconstruction. Trajectory correction using the GSTF can be implemented at any scanner model and enables non-Cartesian imaging with high image quality. Especially MRI of dynamic processes greatly benefits from the presented rapid imaging approaches.},
  subject      = {Kernspintomografie},
  language  = {en}
}
@phdthesis{Endres2019,
  author    = {Endres, Ralph Julian},
  title     = {Networks of fear: Functional connectivity of the amygdala, the insula and the anterior cingulate cortex in two subtypes of specific phobia},
  doi       = {10.25972/OPUS-18095},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-180950},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2019},
  abstract  = {Neuroimaging research has highlighted the relevance of well-balanced functional brain interactions as an essential basis for efficient emotion regulation. In contrast, abnormal coupling of fear-processing regions such as the amygdala, the anterior cingulate cortex (ACC) and the insula could be an important feature of anxiety disorders. Although activity alterations of these regions have been frequently reported in specific phobia, little is known about their functional interactions during phobogenic stimulus processing. To explore these interrelationships in two subtypes of specific phobia - i.e., the blood-injection-injury subtype and the animal subtype - functional connectivity (FC) was analyzed in three fMRI studies. Two studies examined fear processing in a dental phobia group (DP), a snake phobia group (SP) and a healthy control group (HC) during visual phobogenic stimuli presentation while a third study investigated differences between auditory and visual stimuli presentation in DP and HC. Due to a priori hypotheses of impaired interactions between the amygdala, the ACC and the insula, a first analysis was conducted to explore the FC within these three regions of interest. Based on emerging evidence of functionally diverse subregions, the ACC was further divided into a subgenual, pregenual and dorsal ACC and the insula was divided into a ventral-anterior, dorsal-anterior and posterior region. Additionally, an exploratory seed-to-voxel analysis using the amygdala, ACC and insula as seeds was conducted to scan for connectivity patterns across the whole brain. The analyses revealed a negative connectivity of the ACC and the amygdala during phobogenic stimulus processing in controls. This connectivity was predominantly driven by the affective ACC subdivision. By contrast, SP was characterized by an increased mean FC between the examined regions. Interestingly, this phenomenon was specific for auditory, but not visual symptom provocation in DP. During visual stimulus presentation, however, DP exhibited further FC alterations of the ACC and the insula with pre- and orbitofrontal regions. These findings mark the importance of balanced interactions between fear-processing regions in specific phobia, particularly of the inhibitory connectivity between the ACC and the amygdala. Theoretically, this is assumed to reflect top-down inhibition by the ACC during emotion regulation. The findings support the suggestion that SP particularly is characterized by excitatory, or missing inhibitory, (para-) limbic connectivity, reflecting an overshooting fear response based on evolutionary conserved autonomic bottom-up pathways. Some of these characteristics applied to DP as well but only under the auditory stimulation, pointing to stimulus dependency. DP was further marked by altered pre- and orbitofrontal coupling with the ACC and the insula which might represent disturbances of superordinate cognitive control on basal emotion processes. These observations strengthen the assumption that DP is predominantly based on evaluation-based fear responses. In conclusion, the connectivity patterns found may depict an intermediate phenotype that possibly confers risks for inappropriate phobic fear responses. The findings presented could also be of clinical interest. Particularly the ACC - amygdala circuit may be used as a predictive biomarker for treatment response or as a promising target for neuroscience-focused augmentation strategies as neurofeedback or repetitive transcranial magnetic stimulation.},
  subject      = {Kernspintomografie},
  language  = {en}
}
@phdthesis{Hock2024,
  author    = {Hock, Michael},
  title     = {Methods for Homogenization of Spatio-Temporal B\(_0\) Magnetic Field Variations in Cardiac MRI at Ultra-High Field Strength},
  doi       = {10.25972/OPUS-34821},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-348213},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {Cardiovascular disease is one of the leading causes of death worldwide and, so far, echocardiography, nuclear cardiology, and catheterization are the gold standard techniques used for its detection. Cardiac magnetic resonance (CMR) can replace the invasive imaging modalities and provide a "one-stop shop" characterization of the cardiovascular system by measuring myocardial tissue structure, function and perfusion of the heart, as well as anatomy of and flow in the coronary arteries. In contrast to standard clinical magnetic resonance imaging (MRI) scanners, which are often operated at a field strength of 1.5 or 3 Tesla (T), a higher resolution and subsequent cardiac parameter quantification could potentially be achieved at ultra-high field, i.e., 7 T and above. Unique insights into the pathophysiology of the heart are expected from ultra-high field MRI, which offers enhanced image quality in combination with novel contrast mechanisms, but suffers from spatio-temporal B0 magnetic field variations. Due to the resulting spatial misregistration and intra-voxel dephasing, these B0-field inhomogeneities generate a variety of undesired image artifacts, e.g., artificial image deformation. The resulting macroscopic field gradients lead to signal loss, because the effective transverse relaxation time T2* is shortened. This affects the accuracy of T2* measurements, which are essential for myocardial tissue characterization. When steady state free precession-based pulse sequences are employed for image acquisition, certain off-resonance frequencies cause signal voids. These banding artifacts complicate the proper marking of the myocardium and, subsequently, systematic errors in cardiac function measurements are inevitable. Clinical MR scanners are equipped with basic shim systems to correct for occurring B0-field inhomogeneities and resulting image artifacts, however, these are not sufficient for the advanced measurement techniques employed for ultra-high field MRI of the heart. Therefore, this work focused on the development of advanced B0 shimming strategies for CMR imaging applications to correct the spatio-temporal B0 field variations present in the human heart at 7 T. A novel cardiac phase-specific shimming (CPSS) technique was set up, which featured a triggered B0 map acquisition, anatomy-matched selection of the shim-region-of-interest (SROI), and calibration-based B0 field modeling. The influence of technical limitations on the overall spherical harmonics (SH) shim was analyzed. Moreover, benefits as well as pitfalls of dynamic shimming were debated in this study. An advanced B0 shimming strategy was set up and applied in vivo, which was the first implementation of a heart-specific shimming approach in human UHF MRI at the time. The spatial B0-field patterns which were measured in the heart throughout this study contained localized spots of strong inhomogeneities. They fluctuated over the cardiac cycle in both size and strength, and were ideally addressed using anatomy-matched SROIs. Creating a correcting magnetic field with one shim coil, however, generated eddy currents in the surrounding conducting structures and a resulting additional, unintended magnetic field. Taking these shim-to-shim interactions into account via calibration, it was demonstrated for the first time that the non-standard 3rd-order SH terms enhanced B0-field homogeneity in the human heart. However, they were attended by challenges for the shim system hardware employed in the presented work, which was indicated by the currents required to generate the optimal 3rd-order SH terms exceeding the dynamic range of the corresponding shim coils. To facilitate dynamic shimming updated over the cardiac cycle for cine imaging, the benefit of adjusting the oscillating CPSS currents was found to be vital. The first in vivo application of the novel advanced B0 shimming strategy mostly matched the simulations. The presented technical developments are a basic requirement to quantitative and functional CMR imaging of the human heart at 7 T. They pave the way for numerous clinical studies about cardiac diseases, and continuative research on dedicated cardiac B0 shimming, e.g., adapted passive shimming and multi-coil technologies.},
  subject      = {Kernspintomografie},
  language  = {en}
}
@phdthesis{Joseph2013,
  author    = {Joseph, Arun Antony},
  title     = {Real-time MRI of Moving Spins Using Undersampled Radial FLASH},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-94000},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2013},
  abstract  = {Nuclear spins in motion is an intrinsic component of any dynamic process when studied using magnetic resonance imaging (MRI). Moving spins define many functional characteristics of the human body such as diffusion, perfusion and blood flow. Quantitative MRI of moving spins can provide valuable information about the human physiology or of a technical system. In particular, phase-contrast MRI, which is based on two images with and without a flow-encoding gradient, has emerged as an important diagnostic tool in medicine to quantify human blood flow. Unfortunately, however, its clinical usage is hampered by long acquisition times which only provide mean data averaged across multiple cardiac cycles and therefore preclude Monitoring the immediate physiological responses to stress or exercise. These limitations are expected to be overcome by real-time imaging which constitutes a primary aim of this thesis. Short image acquisition times, as the core for real-time phase-contrast MRI, can be mainly realized through undersampling of the acquired data. Therefore the development focused on related technical aspects such as pulse sequence design, k-space encoding schemes and image reconstruction. A radial encoding scheme was experimentally found to be robust to motion and less sensitive to undersampling than Cartesian encoding. Radial encoding was combined with a FLASH acquisition technique for building an efficient real-time phase-contrast MRI sequence. The sequence was further optimized through overlapping of gradients to achieve the shortest possible echo time. Regularized nonlinear inverse reconstruction (NLINV), a technique which jointly estimates the image content and its corresponding coil sensitivities, was used for image reconstruction. NLINV was adapted specifically for phase-contrast MRI to produce both Magnitude images and phase-contrast maps. Real-time phase-contrast MRI therefore combined two highly undersampled (up to a factor of 30) radial gradient-echo acquisitions with and without a flow-encoding gradient with modified NLINV reconstructions. The developed method achieved real-time phase-contrast MRI at both high spatial (1.3 mm) and temporal resolution (40 ms). Applications to healthy human subjects as well as preliminary studies of patients demonstrated real-time phase-contrast MRI to offer improved patient compliance (e.g., free breathing) and immediate access to physiological variations of flow parameters (e.g., response to enhanced intrathoracic pressure). In most cases, quantitative blood flow was measured in the ascending aorta as an important blood vessel of the cardiovascular circulation system commonly studied in the clinic. The performance of real-time phase-contrast MRI was validated in comparison to standard Cine phase-contrast MRI using studies of flow phantoms as well as under in vivo conditions. The evaluations confirmed good agreement for comparable results. As a further extension to real-time phase-contrast MRI, this thesis implemented and explored a dual-echo phase-contrast MRI method which employs two sequential gradient echoes with and without flow encoding. The introduction of a flow-encoding gradient in between the two echoes aids in the further reduction of acquisition time. Although this technique was efficient under in vitro conditions, in vivo studies showed the influence of additional motion-induced Phase contributions. Due to these additional temporal phase information, the approach showed Little promise for quantitative flow MRI. As a further method three-dimensional real-time phase-contrast MRI was developed in this thesis to visualize and quantify multi-directional flow at about twice the measuring time of the standard real-time MRI method, i.e. at about 100 ms temporal resolution. This was achieved through velocity mapping along all three physical gradient directions. Although the method is still too slow to adequately cover cardiovascular blood flow, the preliminary results were found to be promising for future applications in tissues and organ systems outside the heart. Finally, future developments are expected to benefit from the adaptation of model-based reconstruction techniques to real-time phase-contrast MRI.},
  subject      = {Kernspintomografie},
  language  = {en}
}
@phdthesis{Kleineisel2024,
  author    = {Kleineisel, Jonas},
  title     = {Variational networks in magnetic resonance imaging - Application to spiral cardiac MRI and investigations on image quality},
  doi       = {10.25972/OPUS-34737},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-347370},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {Acceleration is a central aim of clinical and technical research in magnetic resonance imaging (MRI) today, with the potential to increase robustness, accessibility and patient comfort, reduce cost, and enable entirely new kinds of examinations. A key component in this endeavor is image reconstruction, as most modern approaches build on advanced signal and image processing. Here, deep learning (DL)-based methods have recently shown considerable potential, with numerous publications demonstrating benefits for MRI reconstruction. However, these methods often come at the cost of an increased risk for subtle yet critical errors. Therefore, the aim of this thesis is to advance DL-based MRI reconstruction, while ensuring high quality and fidelity with measured data. A network architecture specifically suited for this purpose is the variational network (VN). To investigate the benefits these can bring to non-Cartesian cardiac imaging, the first part presents an application of VNs, which were specifically adapted to the reconstruction of accelerated spiral acquisitions. The proposed method is compared to a segmented exam, a U-Net and a compressed sensing (CS) model using qualitative and quantitative measures. While the U-Net performed poorly, the VN as well as the CS reconstruction showed good output quality. In functional cardiac imaging, the proposed real-time method with VN reconstruction substantially accelerates examinations over the gold-standard, from over 10 to just 1 minute. Clinical parameters agreed on average. Generally in MRI reconstruction, the assessment of image quality is complex, in particular for modern non-linear methods. Therefore, advanced techniques for precise evaluation of quality were subsequently demonstrated. With two distinct methods, resolution and amplification or suppression of noise are quantified locally in each pixel of a reconstruction. Using these, local maps of resolution and noise in parallel imaging (GRAPPA), CS, U-Net and VN reconstructions were determined for MR images of the brain. In the tested images, GRAPPA delivers uniform and ideal resolution, but amplifies noise noticeably. The other methods adapt their behavior to image structure, where different levels of local blurring were observed at edges compared to homogeneous areas, and noise was suppressed except at edges. Overall, VNs were found to combine a number of advantageous properties, including a good trade-off between resolution and noise, fast reconstruction times, and high overall image quality and fidelity of the produced output. Therefore, this network architecture seems highly promising for MRI reconstruction.},
  subject      = {Kernspintomografie},
  language  = {en}
}