IDPsPage

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

IDPs

Running IDPs

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".
supervisor:Abouzar Eslami
professor:Sonja Kirchhoff? and Nassir Navab
student:Anastasia Tseneklidou
start-end:2011/10/19 -
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: -
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: -
Human-Machine Interaction in Clinical Environments based on Wearable Inertial Sensors

supervisor:Loren Schwarz
professor:Prof. Dr. Nassir Navab
student:Andreas Schaumeier
start-end:2010/11/15 - 2011/04/30
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.
supervisor:Axel Martinez Möller, Stephan Nekolla
professor:Prof. Nassir Navab
student:Steffen Strobel
start-end:2010/06/01 -

Finished IDPs



Edit | Attach | Refresh | Diffs | More | Revision r1.9 - 09 Jun 2005 - 12:00 - AxelMoeller

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