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Proceedings Paper

Identification of atherosclerotic plaque components using cluster analysis of multispectral MR images: comparison with histology
Author(s): Sharon Clarke; Brian K. Rutt; Alexandra Lucas; Stephen P. Lownie; Robert Hammond; Ross Mitchell
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Paper Abstract

The composition of atherosclerotic lesions in the carotid arteries is believed to be an important predictor of stroke risk. Several MR contrasts may be necessary to discriminate between different plaque components, and multispectral analysis can used to integrate the information obtained from these multiple contrasts. This study presents the use of registered MR and histological images of carotid endarterectomy specimens as a tool for the quantitative assessment of maximum likelihood classification and other segmentation algorithms. Carotid endarterectomy specimens were imaged in a 1.5T GE Signa scanner. PD, T1, T2, diffusion spin echo weightings were obtained. MR images were registered with digitized images of the corresponding histology. A pathologist identified regions of collagen, calcification, cholesterol, hemorrhage on the histological images. Training and ground truth regions were selected. The accuracy of the maximum likelihood classification was assessed on a pixel by pixel basis using truth regions identified on histological images. The accuracy of multispectral analysis was calcification (73%), fibrin (68%), cholesterol (62%), fibrous plaque (53%). This technique was limited by registration inaccuracies caused by partial volume effects and histological artifacts. Despite these limitations, accuracy results were reasonable. This technique, with continued improvements, provides a framework for evaluating the accuracy of different segmentation algorithms.

Paper Details

Date Published: 20 April 2000
PDF: 8 pages
Proc. SPIE 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images, (20 April 2000); doi: 10.1117/12.383411
Show Author Affiliations
Sharon Clarke, John P. Robarts Research Institute (Canada)
Brian K. Rutt, John P. Robarts Research Institute (Canada)
Alexandra Lucas, John P. Robarts Research Institute (Canada)
Stephen P. Lownie, London Health Sciences Ctr. (Canada)
Robert Hammond, London Health Sciences Ctr. (Canada)
Ross Mitchell, John P. Robarts Research Institute (Canada)


Published in SPIE Proceedings Vol. 3978:
Medical Imaging 2000: Physiology and Function from Multidimensional Images
Chin-Tu Chen; Anne V. Clough, Editor(s)

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