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Proceedings Paper

Measurement of pelvic osteolytic lesions in follow-up studies after total hip arthroplasty
Author(s): Benjamin Castaneda; Jose Gerardo Tamez-Pena; Saara Totterman; Regis O'Keefe; R. John Looney
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Paper Abstract

Previous studies have demonstrated the plausibility of using volumetric computerized tomography to provide an accurate representation and measurement of volume for pelvic osteolytic lesions following total hip joint replacement. These studies have been performed manually (or computed-assisted) by expert radiologists with the disadvantage of poor reproducibility of the experiment. The purpose of this work is to minimize the effect of user interaction in these experiments by introducing Laplacian level set methods in the volume segmentation process and using temporal articulated registration in order to follow the evolution of a lesion over time. Laplacian level set methods reduce the inter and intra-observer variability by attaching the segmented contour to edges defined in the image while keeping smoothness. The registration process allows the information of the lesion from the first visit to be used in the segmentation process of the current visit. This work compares the automated results on 7 volunteers versus the volume measured manually. Results have shown that the proposed technique is able to track osteolytic lesions and detect changes in volume over time. Intra-reader and inter-observer variabilities were reduced.

Paper Details

Date Published: 13 March 2006
PDF: 8 pages
Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 614323 (13 March 2006); doi: 10.1117/12.652874
Show Author Affiliations
Benjamin Castaneda, Univ. of Rochester (United States)
Jose Gerardo Tamez-Pena, VirtualScopics, LLC (United States)
Saara Totterman, VirtualScopics, LLC (United States)
Regis O'Keefe, Univ. of Rochester Medical Ctr. (United States)
R. John Looney, Univ. of Rochester Medical Ctr. (United States)


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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