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Proceedings Paper

Visualizing the path of blood flow in static vessel images for image guided surgery of cerebral arteriovenous malformations
Author(s): Sean Jy-Shyang Chen; Marta Kersten-Oertel; Simon Drouin; D. Louis Collins
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Paper Abstract

Cerebral arteriovenous malformations (AVMs) are a type of vascular anomaly consisting of large intertwined vascular growth (the nidus) that are prone to serious hemorrhaging and can result in patient death if left untreated. Intervention through surgical clipping of feeding and draining vessels to the nidus is a common treatment. However, identification of which vessels to clip is challenging even to experienced surgeons aided by conventional image guidance systems. In this work, we describe our methods for processing static preoperative angiographic images in order to effectively visualize the feeding and draining vessels of an AVM nidus. Maps from level-set front propagation processing of the vessel images are used to label the vessels by colour. Furthermore, images are decluttered using the topological distances between vessels. In order to aid the surgeon in the vessel clipping decision-making process during surgery, the results are displayed to the surgeon using augmented virtuality.

Paper Details

Date Published: 17 February 2012
PDF: 10 pages
Proc. SPIE 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, 831630 (17 February 2012); doi: 10.1117/12.911684
Show Author Affiliations
Sean Jy-Shyang Chen, McGill Univ. (Canada)
Marta Kersten-Oertel, McGill Univ. (Canada)
Simon Drouin, McGill Univ. (Canada)
D. Louis Collins, McGill Univ. (Canada)

Published in SPIE Proceedings Vol. 8316:
Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling
David R. Holmes; Kenneth H. Wong, Editor(s)

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