DocumentCode :
745235
Title :
Computer-aided method for quantification of cartilage thickness and volume changes using MRI: validation study using a synthetic model
Author :
Kauffmann, Claude ; Gravel, Pierre ; Godbout, Benoît ; Gravel, Alain ; Beaudoin, Gilles ; Raynauld, Jean-Pierre ; Martel-Pelletier, Johanne ; Pelletier, Jean-Pierre ; De Guise, Jacques A.
Author_Institution :
ArthroVision, Montreal, Canada
Volume :
50
Issue :
8
fYear :
2003
Firstpage :
978
Lastpage :
988
Abstract :
The primary objective of this study was to develop a computer-aided method for the quantification of three-dimensional (3-D) cartilage changes over time in knees with osteoarthritis (OA). We introduced a local coordinate system (LCS) for the femoral and tibial cartilage boundaries that provides a standardized representation of cartilage geometry, thickness, and volume. The LCS can be registered in different data sets from the same patient so that results can be directly compared. Cartilage boundaries are segmented from 3-D magnetic resonance (MR) slices with a semi-automated method and transformed into offset-maps , defined by the LCS. Volumes and thickness are computed from these offset-maps. Further anatomical labeling allows focal volumes to be evaluated in predefined subregions. The accuracy of the automated behavior of the method was assessed, without any human intervention, using realistic, synthetic 3-D MR images of a human knee. The error in thickness evaluation is lower than 0.12 mm for the tibia and femur. Cartilage volumes in anatomical subregions show a coefficient of variation ranging from 0.11% to 0.32%. This method improves noninvasive 3-D analysis of cartilage thickness and volume and is well suited for in vivo follow-up clinical studies of OA knees.
Keywords :
biological tissues; biomedical MRI; diseases; edge detection; image segmentation; measurement errors; medical image processing; orthopaedics; thickness measurement; volume measurement; automated behavior accuracy; cartilage boundaries; cartilage geometry; cartilage thickness; computer-aided method; femur; human knee; in vivo follow-up clinical studies; magnetic resonance imaging; medical diagnostic imaging; noninvasive 3-D analysis; predefined subregions; standardized representation; synthetic model; thickness evaluation error; tibia; volume changes; Current measurement; Humans; Joints; Knee; Magnetic resonance imaging; Measurement standards; Osteoarthritis; Production; Thickness measurement; Volume measurement; Algorithms; Cartilage, Articular; Humans; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Knee Joint; Magnetic Resonance Imaging; Reproducibility of Results; Sensitivity and Specificity; Stochastic Processes; Subtraction Technique;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2003.814539
Filename :
1213850
Link To Document :
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