Registering Endoscopic Video to Preoperative 3d Models

People - Dr. Gregory Hager, Dan Abretske, Dr. Hanzi Wang, Dr. Darius Burschka

Description The focus of this project is to study the problem of registering an endoscopic video sequence to a preoperative ct scan with applications to sinus surgery. The main goal of this project is to be able to accurately track the tip of the endoscope in real-time using vision techniques and thus be able to determine tool tip locations within the sinus passage. The advantages to being able to do real-time visual tracking are quite substaintial as current tool tracking systems for sinus surgery are often cumbersome to use since they can require modification of the tool handles, require additional bulky machinery which occupies valuable operating room floor space and can cost large sums of money which can detract from the budgets for other surgical tools. This project is being persued under a grant from the NIH

PUBLICATIONS

• Darius Burschka and Ming Li and Russell Taylor and Gregory D. Hager and Masaru Ishii. Scale-Invariant Registration of Monocular Endoscopic Images to CT-Scans for Sinus Surgery. Medical Image Analysis, 9(5):413-439, October 2005. Best Paper Award at MICCAI 2005.
• D. Burschka, M. Li, R.H. Taylor, and G.D. Hager. Scale-Invariant Registration of Monocular Endoscope Images to CT-Scans For Sinus Surgery. In Proceedings of Seventh International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 2, pages 413-421, 2004.
• Darius Burschka, Ming Li, Russell Taylor, and Gregory D. Hager. Scale-Invariant Registration of Monocular Stereo Images to 3D Surface Models. In Proceedings of IROS, pages 2581-2586, 2004.