Dissertationen der Medizinischen Fakultät

2024

Licht, Christian (2023) Weiterentwicklung der Natrium Multiquantenkohärenz Magnetresonanztomographie auf klinischen Scannern.

2023

Baazaoui, Hakim (2021) Differentiation of glioblastoma and cerebral metastasis using MR-derived tissue oxygenation and perfusion: a machine learning approach.

Ilicak, Efe (2023) Lung Imaging and Function Assessment using Non-Contrast-Enhanced Magnetic Resonance Imaging.

2022

Adlung, Anne (2022) Efficient Quantification of In-vivo 23Na Magnetic Resonance Imaging.

Bauer, Dominik Fabian (2022) Digital and Physical Phantoms for Image-guided Interventions.

2020

Kabelitz, Gordian Konrad (2020) Framework für interventionelle 2D-3D-Bildregistrierung multipler Objekte.

Paschke, Nadia Karina (2020) Quantifizierungsgenauigkeit in der humanen 23Na-Magnetresonanztomographie.

Waldkirch, Barbara Ingeborg (2020) Methods for three-dimensional Registration of Multimodal Abdominal Image Data.

2019

Malzacher, Matthias (2019) Simulation and development of RF resonators for preclinical and clinical 1H and X-nuclei MRI.

Rieger, Benedikt (2019) Tissue quantification based on Magnetic Resonance Fingerprinting.

2018

Davids, Mathias (2017) Minimizing the Adverse Effects of Electric Fields in Magnetic Resonance Imaging using Optimized Gradient Encoding and Peripheral Nerve Models.

2016

Chacón Caldera, Jorge (2016) Quantification of glomerular number and size using MRI at 9.4 and 3 Tesla as a viable alternative to stereology.

2015

Weingärtner, Sebastian (2014) Development of Quantitative Methods for Myocardial Tissue Characterization using Magnetic Resonance Imaging at 1.5 Tesla.

2014

Ibrahim Ibrahim Ali , Elabyad (2013) Design and Optimization of a Cryogenic Radio Frequency Probe for Potassium-39 Magnetic Resonance Imaging at 9.4 Tesla.

Kjørstad, Åsmund (2014) Development of Quantitative Methods for Assessment of Ventilation-Perfusion Ratio in the Human lung using Magnetic Resonance Imaging.

2013

Kalayciyan, Raffi (2013) Body Human Applications at 3.0 Tesla Development of RF Resonator Systems for Quantitative Sodium MRI of the Kidney in Preclinical Studies at 9.4 Tesla and Whole.