Archives: Thesis

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09APR 2019
Ph.D. Gallery
Peter Fischer
Respiratory Motion Compensation in X-Ray Fluoroscopy Abstract Fluoroscopy is a common imaging modality in medicine for guidance of minimally invasive interventions due to its high temporal and spatial resolution and the good visibility of interventional devices and bones. To counteract its lack of 3-D information and soft-tissue contrast, the X-ray images can be enhanced with […]
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29MAR 2019
Ph.D. Gallery
Chris Schwemmer
3-D Imaging of Coronary Vessels Using C-arm CT Abstract Cardiovascular disease has become the number one cause of death worldwide. For the diagnosis and therapy of coronary artery disease, interventional C-arm-based fluoroscopy is animaging method of choice. While these C-arm systems are also capable of rotating around the patient and thus allow a CT-like 3-D […]
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18MAR 2019
News
Best Poster Award at iCT 2019
Deniz Neufeld, M.Sc. Student at our lab was awarded a Best Poster Award (2nd place) for her contribution titled “Realistic Image Synthesis of Imperfect Specimens using Generative Networks”. Her work was done in cooperation with Tobias Schön and Roland Gruber from Fraunhofer EZRT. It introduces a novel concept of using generative adversarial networks for simulation […]
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15FEB 2019
Ph.D. Gallery
Florin Ghesu
Artificial Intelligence for Medical Image Understanding Abstract Robust and fast detection and segmentation of anatomical structures in medical image data represents an important component of medical image analysis technologies. Current solutions for this problem are nowadays based on machine learning techniques that exploit large annotated image databases in order to learn the appearance of the […]Artificial Intelligence for Medical Image Understanding Abstract Robust and fast detection and segmentation of anatomical structures in medical image data represents an important component of medical image analysis technologies. Current solutions for this problem are nowadays based on machine learning techniques that exploit large annotated image databases in order to learn the appearance of the […]
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14DEC 2018
Ph.D. Gallery
Felix Lugauer-Breunig
Iterative Reconstruction Methods for Accelerating Quantitative Abdominal MRI Abstract Abdominal pathologies, in particular, diffuse liver disorders are affecting a rapidly increasing group of people worldwide. Non-alcoholic Fatty Liver Disease (NAFLD) parallels a global epidemic and is the most common liver disease in societies with westernized lifestyles, affecting in between 20 and 30 % of adults. […]Iterative Reconstruction Methods for Accelerating Quantitative Abdominal MRI Abstract Abdominal pathologies, in particular, diffuse liver disorders are affecting a rapidly increasing group of people worldwide. Non-alcoholic Fatty Liver Disease (NAFLD) parallels a global epidemic and is the most common liver disease in societies with westernized lifestyles, affecting in between 20 and 30 % of adults. […]
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30NOV 2018
Ph.D. Gallery
Vincent Christlein
Handwriting with Focus on Writer Identification and Writer Retrieval Abstract In the course of the mass digitization of historical as well as contemporary sources, an individual examination by means of historical or forensic experts is no longer feasible. A solution could be an automatic handwriting analysis that determines or suggests script attributes, such as the […]
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