PMID: 9178247Jun 1, 1997Paper

The use of active shape models for making thickness measurements of articular cartilage from MR images

Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine
S SollowayC J Taylor

Abstract

Previously reported studied to quantify articular cartilage have used labor-intensive manual or semi-automatic data-driven techniques, demonstrating high accuracy and precision. However, none has been able to automate the segmentation process. This paper describes a fast, automatic, model-based approach to segmentation and thickness measurement of the femoral cartilage in 3D T1-weighted images using active shape models (ASMs). Systematic experiments were performed to assess the accuracy and precision of the technique with in vivo images of both normal and abnormal knees. Segmentation accuracy was determined by comparing the results of the segmentation with the boundaries delineated by a radiologist. The mean error in locating the boundary was 0.57 pixels. To assess the precision of the measurement technique, the mean thickness of the femoral cartilage was calculated for repeated scans of five healthy volunteers. A mean coefficient of variation (CV) of 2.8% was obtained for the thickness measurements.

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Citations

Mar 14, 2000·Journal of Magnetic Resonance Imaging : JMRI·F EcksteinM Reiser
Jan 22, 2000·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·J C WatertonC J Taylor
Oct 12, 2000·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·T StammbergerF Eckstein
Aug 19, 2011·Skeletal Radiology·Carl S Winalski, Prabhakar Rajiah
Nov 10, 2006·European Radiology·Thomas M LinkKlaus Woertler
Jan 6, 2010·Journal of Digital Imaging·James Y ChenNabile M Safdar
Apr 6, 2004·Medical Image Analysis·Marleen de BruijneWiro J Niessen
Mar 29, 2002·Journal of Orthopaedic Research : Official Publication of the Orthopaedic Research Society·Dina Al-AliFelix Eckstein
Sep 6, 2000·Medical Image Analysis·S K WarfieldR Kikinis
Oct 21, 2000·Investigative Radiology·D BursteinM L Gray
May 10, 2008·Annual Review of Biomedical Engineering·Peter Augat, Felix Eckstein
Nov 3, 2011·Arthritis·Felix Eckstein, Wolfgang Wirth
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Nov 6, 2009·IEEE Transactions on Medical Imaging·Rhodri H DaviesChris J Taylor
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