Type: Master Seminar Module IN2107
SWS: 2
ECTS: 4 Credits
Course Language: English
In traditional surgery, the outcome of the procedure depends entirely on the skills of the physicians and nurses. Today, interventional imaging and new solutions support the physicians during the intervention, with the main goal of improving patient safety. We need to overcome many challenges, including spatial constraints in the OR as well as the desire for minimally invasive procedures. With respect to the diagnosis in various medical disciplines (e.g. neurosurgery, breast care, general oncology, etc.), a biopsy is the main source of information for the appropriate treatment strategy.
Most of today's biopsy procedures are still performed without additional guidance and support by imaging, causing unnecessary complications and partially low success rates. Interventional and general imaging could potentially provide support during biopsy in interventional settings, and researchers have focused on this area over the last years.
This seminar course focuses on current research topics in the field of images-based tracking for biopsy applications, covering a variety of interventional settings and applications.
The seminar will cover:
Each presentation is followed by a discussion and everyone is encouraged to actively participate. The report must include all references used and must be written completely in your own words. Copy and paste will not be tolerated. Both report and presentation have to be done in English.
The seminar consists of a preliminary meeting, an introductory meeting and seminar sessions. Each of the sessions will consist of several student presentations. All seminar participants are expected to be present at every session and to actively participate in the discussion.
First Name | Name | Date ![]() | Time |
---|---|---|---|
Irving | Cabrera | 11.01.2017 | 14:00 |
Alexander | Binsmaier | 11.01.2017 | 14:30 |
Benito | Diaz Nava | 11.01.2017 | 15:00 |
Maximilian | Geißler | 10.01.2017 | 10:00 |
Sebastian | Requena Witzig | 10.01.2017 | 10:30 |
Ramona | Schneider | 10.01.2017 | 11:00 |
Philipp | Jutzi | 10.01.2017 | 11:30 |
First Name | Name | Paper Assigned | Tutor |
---|---|---|---|
Maximilian | Geißler | [5] | Rüdiger Göbl |
Sebastian | Requena Witzig | [2] | Rüdiger Göbl |
Ramona | Schneider | [13] | Julia Rackerseder |
Philipp | Jutzi | [10] | Julia Rackerseder |
Irving | Cabrera | [11] | Dr. Christoph Hennersperger |
Alexander | Binsmaier | [4] | Dr. Christoph Hennersperger |
Benito | Diaz Nava | [1] | Rüdiger Göbl |
[1] N. Shahriari, R. J. Roesthuis, N. J. Van De Berg, J. J. Van Den Dobbelsteen, and S. Misra, “Steering an actuated-tip needle in biological tissue: Fusing FBG-sensor data and ultrasound images,” in Proceedings - IEEE International Conference on Robotics and Automation, 2016, vol. 2016–June, pp. 4443–4449.
[2] M. Mura, S. Parrini, G. Ciuti, V. Ferrari, C. Freschi, M. Ferrari, P. Dario, and A. Menciassi, “A computer-assisted robotic platform for vascular procedures exploiting 3D US-based tracking,” Comput. Assist. Surg., vol. 21, no. 1, pp. 63–79, 2016.
[3] A. Pourtaherian, S. Zinger, P. H. N. de With, H. H. M. Korsten, and N. Mihajlovic, “Benchmarking of state-of-the-art needle detection algorithms in 3D ultrasound data volumes,” Prog. Biomed. Opt. Imaging - Proc. SPIE, vol. 9415, p. 94152B, 2015.
[4] P. Chatelain, A. Krupa, and M. Marchal, “Real-time needle detection and tracking using a visually servoed 3D ultrasound probe,” Proc. - IEEE Int. Conf. Robot. Autom., pp. 1679–1681, 2013.
[5] H. R. S. Neshat and R. V. Patel, “Real-time parametric curved needle segmentation in 3D ultrasound images,” Proc. 2nd Bienn. IEEE/RAS-EMBS Int. Conf. Biomed. Robot. Biomechatronics, BioRob? 2008, pp. 670–675, 2008.
[6] S. Cheung and R. Rohling, “Enhancement of needle visibility in ultrasound-guided percutaneous procedures,” Ultrasound Med. Biol., vol. 30, no. 5, pp. 617–624, 2004.
[7] N. I. Sainani, R. S. Arellano, P. B. Shyn, D. A. Gervais, P. R. Mueller, and S. G. Silverman, “The challenging image-guided abdominal mass biopsy: Established and emerging techniques ‘if you can see it, you can biopsy it,’” Abdom. Imaging, vol. 38, no. 4, pp. 672–696, 2013.
[8] O. Zettinig, A. Shah, C. Hennersperger, M. Eiber, C. Kroll, H. K??bler, T. Maurer, F. Milletari, J. Rackerseder, C. Schulte zu Berge, E. Storz, B. Frisch, and N. Navab, “Multimodal image-guided prostate fusion biopsy based on automatic deformable registration,” Int. J. Comput. Assist. Radiol. Surg., vol. 10, no. 12, pp. 1997–2007, 2015.
[9] A. M. Franz, T. Haidegger, W. Birkfellner, K. Cleary, T. M. Peters, and L. Maier-Hein, “Electromagnetic tracking in medicine -A review of technology, validation, and applications,” IEEE Trans. Med. Imaging, vol. 33, no. 8, pp. 1702–1725, 2014.
[10] C. R. Weiss, S. G. Nour, and J. S. Lewin, “MR-guided biopsy: A review of current techniques and applications,” J. Magn. Reson. Imaging, vol. 27, no. 2, pp. 311–325, Feb. 2008.
[11] D. R. Elgort, E. Y. Wong, C. M. Hillenbrand, F. K. Wacker, J. S. Lewin, and J. L. Duerk, “Real-time catheter tracking and adaptive imaging,” J. Magn. Reson. Imaging, vol. 18, no. 5, pp. 621–626, Nov. 2003.
[12] C. Baur, S. Albarqouni, S. Demirci, N. Navab, and P. Fallavollita, “CathNets: Detection and Single-View Depth Prediction of Catheter Electrodes,” in Medical Imaging and Augmented Reality: 7th International Conference, MIAR 2016, Bern, Switzerland, August 24-26, 2016, Proceedings, G. Zheng, H. Liao, P. Jannin, P. Cattin, and S.-L. Lee, Eds. Cham: Springer International Publishing, 2016, pp. 38–49.
[13] L. C. Garcia-Peraza-Herrera, W. Li, C. Gruijthuijsen, A. Devreker, G. Attilakos, J. Deprest, E. Vander Poorten, D. Stoyanov, T. Vercauteren, and S. Ourselin, “Real-Time Segmentation of Non-Rigid Surgical Tools based on Deep Learning and Tracking,” pp. 1–12, 2016.
A lot of scientific publications can be found online.
The following list may help you to find some further information on your particular topic:
Some publishers:
Libraries (online and offline):
Some further hints for working with references:
If you find useful resources that are not already listed here, please tell us, so we can add them for others. Thanks.
TeachingForm | |
---|---|
Title: | Image-based tool tracking for computer aided biopsy procedures |
Professor: | Prof. Dr. Nassir Navab and Dr. Christoph Hennersperger |
Tutors: | Rüdiger Göbl, Julia Rackerseder |
Type: | Hauptseminar |
Information: | Hauptseminar, SWS: 2, ECTS: 4 |
Term: | 2016WiSe |
Abstract: |