The master student working on this project will have the following challenges:
This second task will, for example, include the tracking of the participants during the study (using RGBD cameras), to measure their distance to the X-ray source every time they shot an X-ray image. It will also involve the use of dosimeters to know the precise measure of radiation. The goal is to show that by changing of behavior during X-ray acquisition and reduction of the X-ray images, the new setup drastically reduce the radiation exposure of the surgeon during the procedure.
Competencies required for this topic:
[1] https://www.youtube.com/watch?v=pZh4iV6xV6M&list=PL39AoifaBp1W8uZ1OPGUyoHOK20w1LuYu&index=1
[2] Habert, S., Meng, M., Kehl, W., Wang, X., Tombari, F., Fallavollita, P., & Navab, N. (2015, September). [POSTER] Augmenting Mobile C-arm Fluoroscopes via Stereo-RGBD Sensors for Multimodal Visualization. In Mixed and Augmented Reality (ISMAR), 2015 IEEE International Symposium on (pp. 72-75). IEEE.
[3] https://www.spine-health.com/treatment/injections/cervical-thoracic-and-lumbar-facet-joint-injections
Students.ProjectForm | |
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Title: | Surgeon monitoring during C-arm based pre-clinical study |
Abstract: | We search a master student to work on a preclinical study involving a new setup proposing an overlay of x-ray image with video [1,2]. The preclinical study will see participants (expert surgeons) perform facet joint injection [3] with our new system as well as with X-ray only to compare. The goal of this study is to show that the new system can drastically reduce the radiation exposure of the surgeon during this procedure performed daily. The work will be in close collaboration with clinical partners at the LMU hospital in Klinikum Innenstadt (Sendliger Tor). The preclinical study will be conducted in direct relationship with a medical student ( in its doktorarbeit) which will take of the medical aspects of the study while the master student will take care of the technical aspects. |
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Director: | Prof. Dr. Nassir Navab |
Supervisor: | Dr. Ulrich Eck |
Type: | Master Thesis |
Area: | Computer-Aided Surgery, Medical Augmented Reality |
Status: | finished |
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