Article | Proceedings of SIGRAD 2015, June 1st and 2nd, Stockholm, Sweden | Advanced Visualization Techniques for Laparoscopic Liver Surgery
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Title:
Advanced Visualization Techniques for Laparoscopic Liver Surgery
Author:
Dimitrios Felekidis: Scientific Visualization Group , Linköping University, Sweden Peter Steneteg: Scientific Visualization Group , Linköping University, Sweden Timo Ropinski: Visual Computing Group, Ulm University, Germany
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Full text (pdf)
Year:
2015
Conference:
Proceedings of SIGRAD 2015, June 1st and 2nd, Stockholm, Sweden
Issue:
120
Article no.:
008
Pages:
28-31
No. of pages:
4
Publication type:
Abstract and Fulltext
Published:
2015-11-24
ISBN:
978-91-7685-855-4
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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In order to make it easier for the surgeons to locate tumors during a laparoscopic liver surgery, and to form a mental image of the remaining structures, the 3D models of the liver’s inner structures are extracted from a preoperative CT scan and are overlaid onto the live video stream obtained during surgery. In that way the surgeons can virtually look into the liver and locate the tumors (focus objects) and also have a basic understanding of their spatial relation with other critical structures. Within this paper, we present techniques for enhancing the spatial comprehension of the focus objects in relation to their surrounding areas, while they are overlaid onto the live endoscope video stream. To obtain an occlusion-free view while not destroying the context, we place a cone on the position of each focus object facing the camera. The cone creates an intersection surface (cut volume) that cuts the structures, visualizing the depth of the cut and the spatial relation between the focus object and the intersected structures. Furthermore, we combine this technique with several rendering approaches, which have proven to be useful for enhancing depth perception in other scenarios.

Keywords: Visualization; tumor detection; depth perception

Proceedings of SIGRAD 2015, June 1st and 2nd, Stockholm, Sweden

Author:
Dimitrios Felekidis, Peter Steneteg, Timo Ropinski
Title:
Advanced Visualization Techniques for Laparoscopic Liver Surgery
References:

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Proceedings of SIGRAD 2015, June 1st and 2nd, Stockholm, Sweden

Author:
Dimitrios Felekidis, Peter Steneteg, Timo Ropinski
Title:
Advanced Visualization Techniques for Laparoscopic Liver Surgery
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Last updated: 2017-02-21