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Proceedings Paper

Fast and accurate tract unfolding based on stable volumetric image deformation
Author(s): TrungDung Truong; Takayuki Kitasaka; Kensaku Mori; Yasuhito Suenaga
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Paper Abstract

This paper presents an improved method for virtually unfolding an organ and visualizing its entire luminal surface in only one view. Unfolded tract views can be very useful as they allow doctors to understand various kinds of information of the luminal surface intuitively, just like observing a pathological specimen. However, the previous method cannot correctly reproduce the luminal surface because elasticity for the organ walls is quite coarse defined. Thus, three improvements are proposed: (1) accurate elastic modeling using mass points and Kelvin-Voigt visco-elastic elements, (2) stable image deformation by the Newmark-β method, and (3) automatically directing organ walls to flat shapes by forces determined from their surface normals. Unfolded views generated by the proposed method from seventeen 3D CT image datasets are compared with those by the previous method, virtual endoscopic images, and pathological specimens. Several regions on the luminal surface, which could not be reproduced by the previous method, were accurately reproduced. Bending and concave parts of organ walls, which were difficult to unfold in the previous method, were satisfactorily flattened by introducing improved deformation processes. Computation time was reasonably reduced. Unfolded views of twelve cases were presented to doctors for surgical planning. The unfolded views generated by the proposed method were considered to have well reproduced all lesions as well as fold patterns observed in virtual endoscopic images.

Paper Details

Date Published: 13 March 2006
PDF: 12 pages
Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 614317 (13 March 2006); doi: 10.1117/12.652927
Show Author Affiliations
TrungDung Truong, Nagoya Univ. (Japan)
Takayuki Kitasaka, Nagoya Univ. (Japan)
Kensaku Mori, Nagoya Univ. (Japan)
Yasuhito Suenaga, Nagoya Univ. (Japan)


Published in SPIE Proceedings Vol. 6143:
Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
Armando Manduca; Amir A. Amini, Editor(s)

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