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Active research projects
Motion Compensation for CatheterizationsIn many minimally-invasive interventions, catheters are inserted into the body and guided to a region of interest with the help of fluoroscopic imaging (low-dose X-ray image sequences). Due to patient motion, the navigation can be disturbed, and the physician needs a longer time for treatment. This is hazardous in terms of radiation for both, physician and patient. In order to overcome these problems, suitable image-based compensation methods to resolve (non-) rigid motion can be applied. In this project, patient motion is analyzed and suitable compensation algorithms are developed. |
Deformable Guide Wire TrackingThese days, X-ray fluoroscopic imaging is the modality used most widely to guide physicians in angiographic interventions. Current guidance procedures are based on a roadmap, e.g. a digital subtracted angiography (DSA) acquired from a fixed viewpoint and the injection of contrast agent to visualize the current vessel anatomy. Such roadmaps cannot directly be blended with the fluoroscopic sequence due to misalignment caused by respiratory motion. A fundamental step toward a successful integration of any navigation application into clinical routine is the estimation and compensation of respiratory motion. We propose a novel method for deformable tracking of multiple ridge segments based on a MAP-MRF formulation and efficient discrete optimization. Ridges are modeled as B-Spline curves which allows us to apply smooth deformations based on a minimal number of parameters. Our tracking framework is well adapted to the noisy domain of fluoroscopic imaging and the handling of multiple segments. |
Catheter Extraction in Abdominal Fluoroscopic Image SequencesThis work's focus lies in catheter and guide wire extraction from abdominal fluoroscopic sequences. Due to the fact that fluoroscopic X-ray images are of low quality and suffer from a lot of background clutter in the abdominal area the task we are working on is very difficult and not yet solved by the community. The detection process is very important since a properly detected catheter or guide wire is required by many applications that have been proposed in the last few years. One of the major goals is the enhancement of the navigation during abdominal cathterizations in order to reduce the time of interventions and thus the radiation exposure for the patient and especially the physician. |
Former external research projects
- ARTESAS: Advanced Augmented Reality Technologies for Industrial Applications
- E-Jigsaw: Computergestützte Rekonstruktion zerrissener Stasi-Unterlagen
- Endotel: Endoscopic Tele Services
Teaching
Summer Term 2008- Lecture 3D Computer Vision II
- Lecture 3D Computer Vision
- Lecture 3D Computer Vision II
Publications
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F. Bender, M. Groher, A. Khamene, W. Wein, H. Heibel, N. Navab
3D Dynamic Roadmapping for Abdominal Catheterizations Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2008, New York, USA, September 6-10 2008 (bib) |
| 2007 | |
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J. Traub, H. Heibel, P. Dressel, S.M. Heining, R. Graumann, N. Navab
A Multi-View Opto-Xray Imaging System: Development and First Application in Trauma Surgery Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2007), Brisbane, Australia, October/November 2007. (bib) |
| 2006 | |
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J. Platonov, H. Heibel, P. Meier, B. Grollmann
A mobile markerless AR system for maintenance and repair. The Fifth IEEE and ACM International Symposium on Mixed and Augmented Reality, Santa Barbara, CA, USA, Oct. 22 - 25, 2006. (bib) |
Development
- Development: Thinks that make your every day's coding life much easier!
- Code Snippets: Useful code snippets!
Useful Stuff
- Gaussian Derivatives: 1D and 2D Gaussian Derivatives
- TWiki Plugins
Data Links
Videos
| UsersForm | |
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| Title: | Dipl.-Inf. Univ. |
| Firstname: | Hauke |
| Middlename: | |
| Lastname: | Heibel |
| Picture: |  |
| Birthday: | 09.10.1976 |
| Nationality: | Germany |
| Languages: | English, German |
| Groups: | Medical Imaging, Computer Vision |
| Expertise: | Computer Vision, Industrial Augmented Reality |
| Position: | Scientific Staff |
| Status: | Active |
| Emailbefore: | heibel |
| Emailafter: | cs.tum.edu |
| Room: | MI 03.13.061 |
| Telephone: | +49 89 289 19427 |
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