HiWi position for medical image registration

Type: HiWi position
Advisor: Nassir Navab
Supervision by: Stefanie Demirci

Overview

Accurate alignment of intra-operative 2D and pre-operative 3D images may have crucial impact on procedural success rates. Most of existing methods, however, do not provide sufficient accuracy and robustness over a patient population. Despite the rising influence of machine learning approaches to various medical imaging applications, they have not yet found their way into 2D-3D image alignment. It is the main goal of this project is to organise for medical image data and its consistent storage in form of an image database. Besides efficient storage, this database is also supposed to perform automatic image preprocessing and image data mining based on available algorithms. Based upon this work there will probably be opportunities for further projects in this area at CAMP, e.g. IDP or Bachelor/Master thesis. If you are interested or if you have questions, please contact Stefanie Demirci.

Clinical Setting

Besides office space at the FMI in Garching, the CAMP group maintains hospital labs at LMU as well as TUM medical centres located in the city of Munich. These facilities ensure close collaboration to medical partners which is a crucial basis for the data acquisition to be done in this particular project.

Tasks

• Support with the acquisition of efficient system infrastructure
• Data acquisition
• Design and setup of efficient data storage system
• Integration and implementation of efficient preprocessing and data mining tools/methods

Requirements

• Strong programming experience in C++ and Matlab is required.
• Knowledge in machine learning and data mining is required, e.g. successful completion of lab course MLMI.
• Knowledge of image processing is required, e.g. successful completion of lecture CAMP.
• You need to be a current student at the Institute of Informatics of Technische Universität München.