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Proceedings Paper

3D segmentation and quantification of magnetic resonance data: application to the osteonecrosis of the femoral head
Author(s): Catherine S. Klifa; John A. Lynch; Souhil Zaim; Harry K. Genant
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Paper Abstract

The general objective of our study is the development of a clinically robust three-dimensional segmentation and quantification technique of Magnetic Resonance (MR) data, for the objective and quantitative evaluation of the osteonecrosis (ON) of the femoral head. This method will help evaluate the effects of joint preserving treatments for femoral head osteonecrosis from MR data. The disease is characterized by tissue changes (death of bone and marrow cells) within the weight-bearing portion of the femoral head. Due to the fuzzy appearance of lesion tissues and their different intensity patterns in various MR sequences, we proposed a semi-automatic multispectral segmentation of MR data introducing data constraints (anatomical and geometrical) and using a classical K-means unsupervised clustering algorithm. The method was applied on ON patient data. Results of volumetric measurements and configuration of various tissues obtained with the semi- automatic method were compared with quantitative results delineated by a trained radiologist.

Paper Details

Date Published: 21 May 1999
PDF: 10 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348549
Show Author Affiliations
Catherine S. Klifa, Univ. of California/San Francisco (United States)
John A. Lynch, Univ. of California/San Francisco (United States)
Souhil Zaim, Univ. of California/San Francisco (United States)
Harry K. Genant, Univ. of California/San Francisco (United States)


Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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