@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}
}
@phdthesis{Portmann2023,
  author    = {Portmann, Johannes},
  title     = {Accelerated inversion recovery MRI of the myocardium using spiral acquisition},
  doi       = {10.25972/OPUS-30282},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-302822},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {This work deals with the acceleration of cardiovascular MRI for the assessment of functional information in steady-state contrast and for viability assessment during the inversion recovery of the magnetization. Two approaches are introduced and discussed in detail. MOCO-MAP uses an exponential model to recover dynamic image data, IR-CRISPI, with its low-rank plus sparse reconstruction, is related to compressed sensing. MOCO-MAP is a successor to model-based acceleration of parametermapping (MAP) for the application in the myocardial region. To this end, it was augmented with a motion correction (MOCO) step to allow exponential fitting the signal of a still object in temporal direction. Iteratively, this introduction of prior physical knowledge together with the enforcement of consistency with the measured data can be used to reconstruct an image series from distinctly shorter sampling time than the standard exam (< 3 s opposed to about 10 s). Results show feasibility of the method as well as detectability of delayed enhancement in the myocardium, but also significant discrepancies when imaging cardiac function and artifacts caused already by minor inaccuracy of the motion correction. IR-CRISPI was developed from CRISPI, which is a real-time protocol specifically designed for functional evaluation of image data in steady-state contrast. With a reconstruction based on the separate calculation of low-rank and sparse part, it employs a softer constraint than the strict exponential model, which was possible due to sufficient temporal sampling density via spiral acquisition. The low-rank plus sparse reconstruction is fit for the use on dynamic and on inversion recovery data. Thus, motion correction is rendered unnecessary with it. IR-CRISPI was equipped with noise suppression via spatial wavelet filtering. A study comprising 10 patients with cardiac disease show medical applicability. A comparison with performed traditional reference exams offer insight into diagnostic benefits. Especially regarding patients with difficulty to hold their breath, the real-time manner of the IR-CRISPI acquisition provides a valuable alternative and an increase in robustness. In conclusion, especially with IR-CRISPI in free breathing, a major acceleration of the cardiovascular MR exam could be realized. In an acquisition of less than 100 s, it not only includes the information of two traditional protocols (cine and LGE), which take up more than 9.6 min, but also allows adjustment of TI in retrospect and yields lower artifact level with similar image quality.},
  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}
}