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Proceedings Paper

Knee cartilage segmentation using active shape models and contrast enhancement from magnetic resonance images
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Paper Abstract

In this paper, we propose to take advantage from the contrast characteristics of our magnetic resonance images in order to improve the performance of Active Shape Models (ASM) applied to knee cartilage segmentation, since ASM depends directly of the contrast between objects. We realize an image fusion-based contrast enhancement between slices from magnetic resonance image volumes, then, we test the ASM algorithm with contrast enhancement images and compare results with ASM without contrast enhancement. The results are very clear, the ASM with contrast enhancement has a better performance and consistence, and we validate this results using Dice coefficient and Hausdorff distance. Moreover, we validate contrast enhancement to assure that really we are improving the contrast image.

Paper Details

Date Published: 19 November 2013
PDF: 10 pages
Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 892213 (19 November 2013); doi: 10.1117/12.2035529
Show Author Affiliations
Germán González, Univ. Nacional Autónoma de México (Mexico)
Boris Escalante-Ramírez, Univ. Nacional Autónoma de México (Mexico)

Published in SPIE Proceedings Vol. 8922:
IX International Seminar on Medical Information Processing and Analysis
Jorge Brieva; Boris Escalante-Ramírez, Editor(s)

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