Diplomarbeit / Masterarbeit / Bachelor thesis (DA/MA/BA): X-ray Stitching Evaluation Based on DDRs: Towards Clinical Trial

[Subtitle]
Thesis by:
Advisor: Professor Nassir Navab
Supervision by: Lejing Wang
Due date:

Abstract

After extensive preclinical testing finally CAMC has been moved into the Operation Room of Innenstadtklinikum at Nußbaumstraße. Many Patients were treated successfully with CAMC-navigation support (see CAMCInOR). The clinical investigation also includes X-ray image stitching.

X-ray image stitching is a way to create panoramic X-ray images that have exceptionally wide fields of view. Panoramic X-ray images are very helpful for long bone fracture reduction surgery since they can show the whole bone structure with its entire mechanical axis, in a single image. There are many error sources in X-ray image stitching based on CAMC. Before the real clinical study, evaluating all factors to X-ray stitching is necessary. This can give an overview of potential error sources and their effects on X-ray stitching, which will be used as guidance for applying our X-ray stitching in real clinical cases. Moreover, the obtained results can give us the hints to improve the X-ray image stitching methods based on CAMC.

For the evaluation, we simulate the C-arm motion based on the kinematic model of the CAMC system, and then generate artificial fluoroscopy from real X-ray CT data. Generated artificial fluoroscopy will be used for X-ray image stitching.

Task:

Your responsibility will be to implement the function of evaluating X-ray image stitching within close supervision by an interdisciplinary and international team. We have a mature library of computer vision algorithms implemented in C++ and matlab, including basic Matrix operations, various numeric methods, camera calibration algorithms. You can definitely make use of these resources and minimize your coding work.

Requirements

• C++ in MS Visual Studio.
• Interest in medical technology (You will work most of the time at Narvis).
• knowledge of 3D transformation is recommendable .
• knowledge of 3D visualization is recommendable .

What do we offer

• Experience with different fields of research in computer science: Computer Vision, Visualization, Software Engineering.
• Knowledge about clinical/surgical workflow, medical technology (watching a real computer aided medical operation is possible).
• Your thesis and degree. (and also an academic paper, which depends on your performance)
• Working within the real project on the cutting edge technology. The CamC system was introduced into the real patient study, watch real operations using the CamCsystem, and the outcomes of your research will have a strong influence on our clinical study.
• Coffee machine, Narvis lab working space in the city center.

Contact

If you are interested please contact Lejing Wang.

Literature

• [1] Z. Yaniv, L. Joskowicz, Long Bone Panoramas From Fluoroscopic X-Ray Images, IEEE transactions on medical imaging 23 (1) (2004) 26{35.
• [2] P. Messmer, F. Matthews, C. Wullschleger, R. Hugli, P. Regazzoni, A. L. Jacob, Image Fusion for Intraoperative Control of Axis in Long Bone Fracture Treatment, European Journal of Trauma 32 (6) (2006) 555{561.
• [3] L. Wang, J. Traub, S. M. Heining, S. Benhimane, E. Euler, R. Graumann, N. Navab, Long Bone X-Ray Image Stitching Using Camera Augmented Mobile C-Arm, in: D. Metaxas, L. Axel, G. Fichtinger, G. Szekely (Eds.), Medical Image Computing and Computer-Assisted Intervention { MICCAI 2008, vol. 5242 of LNCS, Springer, 578{586, 2008.
• [4] R. Szeliski, Image Alignment and Stitching: A Tutorial, Tech. Rep., Microsoft Research, 2006
• [5] L. Wang, J. Traub, S. Weidert, S.M. Heining, E. Euler, N. Navab; Parallax-free Long Bone X-ray Image Stitching; Medical Image Computing and Computer-Assisted Intervention (MICCAI), London, UK, September 20-24 2009