IdpInterpolationCt

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

Klinisches Anwendungsprojekt: Efficient Interpolation Methods for Physical Models in Medical X-ray Computed Tomography

Project by: Christoph Hahn
Advisor: Nassir Navab
Supervision by: Tobias Lasser

Abstract

X-Ray Computed Tomography (CT) is one of the cornerstones of medical imaging for many decades now. The tomographic reconstruction of CT is quite well understood theoretically and practically, but many open research issues remain. A central point for any reconstruction method is the projector and back-projector pair, which models the interaction process of X-rays with matter, the detection process in the detector and the acquisition geometry. Several standard methods for this are described in the literature, each with specific advantages and disadvantages. Common to all these methods are high computational requirements, necessitating the use of parallel computing.

Tasks

Subject of this project is the efficient computation of accurate line integrals, which is the main computational complexity of any reconstruction algorithm in X-ray Computed Tomography. The aim of this work is the investigation of interpolation methods, which provide a combination of very high performance and reasonable accuracy. This approach should be investigated and implemented in both two and three dimensions, with an implementation in our existing C++ reconstruction framework and quantitative evaluation of the results, comparing to other standard methods already implemented in our framework. The implementation should be parallelized for use with multi-core CPUs.

Requirements

C++, parallel programming, some geometry knowledge

Contact


ProjectForm
Title: Efficient Interpolation Methods for Physical Models in Medical X-ray Computed Tomography
Abstract: X-Ray Computed Tomography (CT) is one of the cornerstones of medical imaging for many decades now. The tomographic reconstruction of CT is quite well understood theoretically and practically, but many open research issues remain. A central point for any reconstruction method is the projector and back-projector pair, which models the interaction process of X-rays with matter, the detection process in the detector and the acquisition geometry. Several standard methods for this are described in the literature, each with specific advantages and disadvantages. Common to all these methods are high computational requirements, necessitating the use of parallel computing.
Student: Christoph Hahn
Director: Nassir Navab
Supervisor: Tobias Lasser
Type: IDP/Klinisches Anwendungsprojekt
Area: Medical Imaging
Status: finished
Start: 2017/05/10
Finish: 2017/10/15
Thesis (optional):  
Picture:  


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