Segmentation of CT images of shot soap blocks
Projectiles from firearms are among the penetrating foreign bodies in the routine forensic medicine. Commonly used techniques for the assessment of the extent of the injury and for the localization diagnostics are conventional radiography and CT. The localization of a projectile is possible by means of tomographic techniques in three-dimensional space. During the reconstruction of shooting channel, the fundamentals of ballistics cannot be ignored. This project is about so-called "soap blocks" that have been shot with different calibers from various distances, and were then examined with CT. The work will be done in close collaboration between the Radiology Department of LMU Klinikum Inennstadt and "Computer Aided Medical Procedures". | |
Attenuation map estimation in PET/MR reconstruction
Attenuation correction of positron emission (PET) data is mandatory for the reconstruction of diagnostic images. In the context of future simultaneous whole body PET/MR devices, it would be desirable to derive attenuation information from magnetic resonance (MR) images. However, the field of view of the MR is limited, leading to incomplete images. Recently, several approaches have been proposed to obtain the missing attenuation information from the raw PET data. The main goal of this project will be the investigation and implementation of a pre-selected algorithm from the state-of-the-art literature. | | supervisor: | Gaspar Delso | | professor: | | | student: | | | start-end: | - |
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Development of a flexible PET system model class
The main goal of this project will be the design and implementation of a C++ class representing a generic system model. This class should encode the position and properties of all the detectors of the PET system, as well as provide the basic geometrical primitives for the computation of the system matrix. A simple interface to define new system geometries is required. | | supervisor: | Gaspar Delso | | professor: | | | student: | | | start-end: | - |
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Human-Machine Interaction in Clinical Environments based on Wearable Inertial Sensors
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Automatic definition of cardiac axis in emission tomography images
Emission tomography (PET and SPECT) are functional imaging modalities showing the three-dimensional distribution of radiolabelled molecules in the body. A major application is for cardiac imaging, mainly to evaluate myocardial perfusion. Cardiac images are reoriented before their clinical reading in order to have short- and long-axis views of the left ventricle. The reorientation is currently performed manually by defining the cardiac axis on two different views. The goal of the project is to develop and evaluate automatic methods to define the cardiac axis based on the image content and prior anatomical knowledge. | |