MaDetectabilityIndex

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

Thesis: Computation of Detectability Indices for Medical Imaging

Thesis by: -
Advisor: Tobias Lasser
Supervision by: Matthias Wieczorek

Abstract

Medical imaging is a well established tool for diagnosis. Most imaging modalities however have drawbacks, such as radiation exposure and long imaging times. To alleviate these drawbacks, optimized imaging protocols are an interesting topic of research. For cases where the imaging target is already known, it is often possible to compute feature descriptors enabling optimization of the acquisition protocol for this particular feature. A particular group of such feature descriptors are the detectability indices, which form the basis for this Master's thesis.

Tasks

The aim of this thesis is the adaption and efficient computation of detectability indices from X-ray CT for medical imaging modalities such as SPECT, PET or phase-contrast CT. Once implemented, these indices will be used for optimization of acquisition setups in the respective modalities. The results should be tested and evaluated both on simulated and real clinical data sets (in cooperation with our partners at the university clinic MRI and the physics department).

Requirements

Interest in maths, programming skills (for example Matlab, Python, C++).

Contact


ProjectForm
Title: Computation of Detectability Indices for Medical Imaging
Abstract: Medical imaging is a well established tool for diagnosis. Most imaging modalities however have drawbacks, such as radiation exposure and long imaging times. To alleviate these drawbacks, optimized imaging protocols are an interesting topic of research. For cases where the imaging target is already known, it is often possible to compute feature descriptors enabling optimization of the acquisition protocol for this particular feature. A particular group of such feature descriptors are the detectability indices, which form the basis for this Master's thesis.
Student:  
Director: Tobias Lasser
Supervisor: Matthias Wieczorek
Type: DA/MA/BA
Area: Medical Imaging
Status: finished
Start: 2017/11/15
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.4 - 27 Mar 2017 - 12:10 - TobiasLasser