
Proceedings Paper
Structural quantification of cartilage changes using statistical parametric mappingFormat | Member Price | Non-Member Price |
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Paper Abstract
The early detection of Osteoarthritis (OA) treatment efficacy requires monitoring of small changes in cartilage
morphology. Current approaches rely in carefully monitoring global cartilage parameters. However, they are not very
sensitive to the detection of focal morphological changes in cartilage structure. This work presents the use of the
statistical parametric mapping (SPM) for the detection and quantification of changes in cartilage morphology. The SPM
is computed by first registering the baseline and the follow-up three dimensional (3D) reconstructions of the cartilage
tissue. Once the registration is complete, the thickness changes for every cartilage point is computed which is followed
by a model based estimation of the variance of thickness error. The cartilage thickness change and the variance
estimations are used to compute the z-score map. The map is used to visualize and quantify significant changes in
cartilage thickness. The z-map quantification provides the area of significant changes, the associated volume of changes
as well as the average thickness of cartilage loss. Furthermore, thickness change distributions functions are normalized
to provide the probability distribution functions (PDF). The PDF can be used to understand and quantify the differences
among different treatment groups. The performance of the approach on simulated data and real subject data will be
presented.
Paper Details
Date Published: 5 March 2007
PDF: 12 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651248 (5 March 2007); doi: 10.1117/12.710152
Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)
PDF: 12 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651248 (5 March 2007); doi: 10.1117/12.710152
Show Author Affiliations
José Gerardo Tamez-Peña, VirtualScopics, Inc. (United States)
Monica Barbu-McInnis, VirtualScopics, Inc. (United States)
Monica Barbu-McInnis, VirtualScopics, Inc. (United States)
Saara Totterman, VirtualScopics, Inc. (United States)
Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)
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