Computational Modeling of Respiratory Motion Based on 4D CT

Thesis by: Bernhard Fuerst Due date: June 15th, 2012
Advisor: Prof. Nassir Navab
Supervision by: Mehmet Yigitsoy
Siemens Corporate Research Supervision by: Ali Kamen and Tommaso Mansi

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Open Position

Type: HiWi at CAMP followed by an internship at Siemens Corporate Research in Princeton, New Jersey, USA (SCR)
Start: HiWi: May; Internship: August 2012 (8 months)

Tasks: Developing the motion model framework (C++ and Matlab) and publication-oriented research.
Requirements: C++, Matlab, English, Teamwork
For more information or an application, send an e-mail with short introduction of yourself and CV to fuerst@in.tum.de (Subject: "MotionModelHiWi Your Name") until May 5th.

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Abstract

Respiratory lung motion has a serious impact on the quality of medical imaging, treatment planning and intervention, and radiotherapy. This motion not only reduces imaging quality, especially for positron emission tomography (PET), but also inhibits the determination of the exact position and shape of the target during radiotherapy. Based on prior knowledge of average tissue properties, patient-specific imaging (4D CT) and a surrogate signal, a computational motion model can be created. This enables researchers and developers to simulate and generate information about a respiratory phase not covered by the imaging procedure. Therefore, the internal deformation of the lung and its containing cancerous tissue can be computed and taken into account during further imaging acquisitions or radiotherapy. Resources Knowledge in software engineering Knowledge in biomechanical simulation Programming in C++, Matlab and other languages Working with frameworks (ITK, VTK, SOFA, Qt) Autonomous implementation and versioning

A biomechanical model - driven by estimated pressure values - allows the simulation of lung movements.

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