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Proceedings Paper

A system for saccular intracranial aneurysm analysis and virtual stent planning
Author(s): Sajjad Baloch; Sandra Sudarsky; Ying Zhu; Ashraf Mohamed; Berhard Geiger; Komal Dutta; Durga Namburu; Puthenveettil Nias; Gary Martucci; Thomas Redel
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Paper Abstract

Recent studies have found correlation between the risk of rupture of saccular aneurysms and their morphological characteristics, such as volume, surface area, neck length, among others. For reliably exploiting these parameters in endovascular treatment planning, it is crucial that they are accurately quantified. In this paper, we present a novel framework to assist physicians in accurately assessing saccular aneurysms and efficiently planning for endovascular intervention. The approach consists of automatically segmenting the pathological vessel, followed by the construction of its surface representation. The aneurysm is then separated from the vessel surface through a graph-cut based algorithm that is driven by local geometry as well as strong prior information. The corresponding healthy vessel is subsequently reconstructed and measurements representing the patient-specific geometric parameters of pathological vessel are computed. To better support clinical decisions on stenting and device type selection, the placement of virtual stent is eventually carried out in conformity with the shape of the diseased vessel using the patient-specific measurements. We have implemented the proposed methodology as a fully functional system, and extensively tested it with phantom and real datasets.

Paper Details

Date Published: 17 February 2012
PDF: 7 pages
Proc. SPIE 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, 83161F (17 February 2012); doi: 10.1117/12.911785
Show Author Affiliations
Sajjad Baloch, Siemens Corporate Research (United States)
Sandra Sudarsky, Siemens Corporate Research (United States)
Ying Zhu, Siemens Corporate Research (United States)
Ashraf Mohamed, Siemens Corporate Research (United States)
Berhard Geiger, Siemens Corporate Research (United States)
Komal Dutta, Siemens (United States)
Durga Namburu, Siemens (United States)
Puthenveettil Nias, Siemens (United States)
Gary Martucci, Siemens (United States)
Thomas Redel, Siemens AG (Germany)


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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