Alexander Preuhs

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31OCT 2022
Ph.D. Gallery
Lina Felsner
Advanced 3-D Reconstruction of Talbot-Lau Data X-ray imaging is a standard technique for examinations and interventions in medicine. Based on X-rays, Phase-Contrast Imaging (PCI) can provide an excellent soft-tissue contrast. The most promising setup for measuring phase-contrast in a medical context is the Talbot-Lau Interferometer (TLI), where specialized gratings are integrated between a regular medical […]Advanced 3-D Reconstruction of Talbot-Lau Data X-ray imaging is a standard technique for examinations and interventions in medicine. Based on X-rays, Phase-Contrast Imaging (PCI) can provide an excellent soft-tissue contrast. The most promising setup for measuring phase-contrast in a medical context is the Talbot-Lau Interferometer (TLI), where specialized gratings are integrated between a regular medical […]
Read more about Lina Felsner
16MAR 2022
Ph.D. Gallery
Elisabeth Preuhs
Acquisition and Reconstruction Methods for Multidimensional and Quantitative MRI Magnetic Resonance Imaging (MRI) is a tomographic imaging technique using the principles of nuclear magnetism of mostly the hydrogen nuclei, which are largely contained in the human body. This allows for insights to the interior tissue distributions. While its non-ionizing nature is advantageous compared to, e.g., […]Acquisition and Reconstruction Methods for Multidimensional and Quantitative MRI Magnetic Resonance Imaging (MRI) is a tomographic imaging technique using the principles of nuclear magnetism of mostly the hydrogen nuclei, which are largely contained in the human body. This allows for insights to the interior tissue distributions. While its non-ionizing nature is advantageous compared to, e.g., […]
Read more about Elisabeth Preuhs
17DEC 2020
Ph.D. Gallery
Martin Koch
Artificial Intelligence based Methods for Atrial Fibrillation Ablation Procedures As one of the most common types of heart arrhythmias, atrial fibrillation is a severe disorder of the heart rhythm affecting the left atrium. Among the most serious complications count stroke and tachycardia mediated cardiomyopathy. Moreover, recurrent symptoms impair patients’ quality of life and functional status. […]Artificial Intelligence based Methods for Atrial Fibrillation Ablation Procedures As one of the most common types of heart arrhythmias, atrial fibrillation is a severe disorder of the heart rhythm affecting the left atrium. Among the most serious complications count stroke and tachycardia mediated cardiomyopathy. Moreover, recurrent symptoms impair patients’ quality of life and functional status. […]
Read more about Martin Koch
16DEC 2020
Ph.D. Gallery
Alexander Preuhs
Model-Based and Data-Driven Geometry Alignment for Angiography Systems Tomography is the reconstruction of internal structures based on a sensory signal. X-ray cone-beam computed tomography (CBCT) measures the X-ray absorption with a source-detector gantry mounted on a C-shaped arm that rotates around the object. During the rotation, projection images are acquired. To obtain a tomographic reconstruction, […]Model-Based and Data-Driven Geometry Alignment for Angiography Systems Tomography is the reconstruction of internal structures based on a sensory signal. X-ray cone-beam computed tomography (CBCT) measures the X-ray absorption with a source-detector gantry mounted on a C-shaped arm that rotates around the object. During the rotation, projection images are acquired. To obtain a tomographic reconstruction, […]
Read more about Alexander Preuhs
11DEC 2020
Ph.D. Gallery
Tobias Würfl
Applications of Data Consistency Conditions in Cone-Beam Computed Tomography The mathematical model of computed tomography data acquisition shows that every such measurement contains a degree of redundancy. This redundancy can be used to formulate data consistency conditions which enable quantifying how accurately a measurement fulﬁlls the mathematical model. This enables compensating for inaccuracies in the […]Applications of Data Consistency Conditions in Cone-Beam Computed Tomography The mathematical model of computed tomography data acquisition shows that every such measurement contains a degree of redundancy. This redundancy can be used to formulate data consistency conditions which enable quantifying how accurately a measurement fulﬁlls the mathematical model. This enables compensating for inaccuracies in the […]
Read more about Tobias Würfl
03FEB 2020
Ph.D. Gallery
Yixing Huang
Consistency Conditions, Compressed Sensing and Machine Learning for Limited Angle Tomography Cone-beam computed tomography (CBCT) is a widely used imaging technology for medical diagnosis and interventions nowadays. Compared with conventional 2-D X-ray images, 3-D volumes reconstructed by CBCT provide cross sectional images and offer much better visualization of patients’ anatomical structures and disease information. In […]Consistency Conditions, Compressed Sensing and Machine Learning for Limited Angle Tomography Cone-beam computed tomography (CBCT) is a widely used imaging technology for medical diagnosis and interventions nowadays. Compared with conventional 2-D X-ray images, 3-D volumes reconstructed by CBCT provide cross sectional images and offer much better visualization of patients’ anatomical structures and disease information. In […]
Read more about Yixing Huang