HiwiCARM

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

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HiWi position for computer aided techniques in retinal microsurgery

Type: HiWi position
Advisor: Nassir Navab
Supervision by: Nicola Rieke

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Overview

Retinal microsurgery is a delicate surgery which requires high handeling precision under limited visual feedback. Computer vision techniques hold a great potential for supporting the surgeon and improving the outcome of the surgery. Usually, the acquired image data is very challenging due to high magnification, occlusions and blur; thus creating an interesting field for methods such as image registration, tracking and detection. The goal of this project is to support our team in developing and integrating novel approaches into a bigger framework. 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 Nicola Rieke.

Clinical Setting

Our team mainly meets at the FMI in Garching, but the project is in close cooperation with Carl Zeiss Meditec AG in Munich and with medical partners in the Klinikum rechts der Isar.

Tasks

  • Development, implementation and integration of novel computer vision techniques
  • Acquisition and integration of new data
  • Code Refactoring

Requirements

  • Strong programming experience in C++ including the library OpenCV is required.
  • Knowledge of computer vision methods is required, e.g. successful completion of lecture tracking and detection in Computer Vision.
  • You need to be a current student at the Institute of Informatics of Technische Universität München.

ProjectForm
Title: HiWi position for computer aided techniques in retinal microsurgery
Abstract: Retinal microsurgery is a delicate surgery which requires high handeling precision under limited visual feedback. Computer vision techniques hold a great potential for supporting the surgeon and improving the outcome of the surgery. Usually, the acquired image data is very challenging due to high magnification, occlusions and blur; thus creating an interesting field for methods such as image registration, tracking and detection. The goal of this project is to support our team in developing and integrating novel approaches into a bigger framework. 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 Nicola Rieke.
Student:  
Director: Nassir Navab
Supervisor: Nicola Rieke
Type: Hiwi
Area: Registration / Visualization, Segmentation, Machine Learning, Computer-Aided Surgery, Computer Vision
Status: running
Start:  
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.4 - 16 Feb 2016 - 13:26 - NicolaRieke