Share Email Print

Proceedings Paper

Adaptive visualization for needle guidance in RF liver ablation: taking organ deformation into account
Author(s): Ruxandra Lasowski; Selim Benhimane; Jakob Vogel; Tobias F. Jakobs; Christoph J. Zech; Christoph Trumm; Christian Clason; Nassir Navab
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Interventional procedures on deformable organs pose difficulties for the radiologists when inserting the probe towards a lesion. The deformation due to the breathing makes a reliable and automated alignment of the interventional 2D CT-Fluoro to the pre-interventional 3D CT-Volume very challenging. Such alignment is highly desirable since, during the intervention, the CT-Volume brings more information as it is enhanced with contrast agent and has a higher resolution than the CT-Fluoro slice. A reasonable solution for the alignment is obtained by employing a robust optimization technique. However, since we would like to help the needle guidance towards the lesion, due to the involved deformation, a single slice of the 3D CT-Volume is not satisfactory. The main contribution of this paper consists in visualizing slices of the 3D CT-Volume that are resulting from the out-of-plane motion parameters along weighted isosurfaces in the convergence basin of the similarity function used during the alignment. This visualization copes with the uncertainty in estimating the deformation and brings much more information than a single registered slice. Three experienced interventional radiologists were consulted and their evaluation clearly highlighted that such visualization unfolding the neighborhood with the belonging structures, like vessels and lesion spread, will help the needle guidance.

Paper Details

Date Published: 17 March 2008
PDF: 12 pages
Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 69180A (17 March 2008); doi: 10.1117/12.769847
Show Author Affiliations
Ruxandra Lasowski, Technical Univ. Munich (Germany)
Siemens Medical Solutions (Germany)
Selim Benhimane, Technical Univ. Munich (Germany)
Jakob Vogel, Technical Univ. Munich (Germany)
Tobias F. Jakobs, Univ. of Munich (Germany)
Christoph J. Zech, Univ. of Munich (Germany)
Christoph Trumm, Univ. of Munich (Germany)
Christian Clason, Technical Univ. Munich (Germany)
Nassir Navab, Technical Univ. Munich (Germany)

Published in SPIE Proceedings Vol. 6918:
Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kevin Robert Cleary, Editor(s)

© SPIE. Terms of Use
Back to Top