Carotid artery atherosclerosis plaque analysis using CT and histology

F. Santos*, A. Joutsen, J. Salenius, H. Eskola

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This research had its focus in the creation of a protocol able to diagnose atherosclerosis and to segment the atherosclerotic plaques into different tissue components. The protocol compared in vivo and in vitro Multidetector Computed Tomography (MDCT) with histology studies. Four patients composed the data set. After the plaque samples were extracted in carotid artery endarterectomy, they were cast in paraffin, imaged, sliced and stained for the histology study. ImageJ was used to draw by hand regions of interest around the plaque, and to obtain an auto-segmentation of the plaques and their components. The final results showed a correct correlation and representation of the atherosclerotic plaque between the different modalities. The protocol and methods used in this study were confirmed as a viable way of diagnostic and follow-up of the patients suffering from atherosclerosis in the carotid arteries.
Original languageEnglish
Title of host publicationComputational Vision and Medical Image Processing, Proceedings of VipIMAGE 2011 - 3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing
Pages261-265
Number of pages5
Publication statusPublished - 2012
Event3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2011 - Olhao, Algarve, Portugal
Duration: 12 Oct 201114 Oct 2011

Publication series

NameComputational Vision and Medical Image Processing, Proceedings of VipIMAGE 2011 - 3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing

Conference

Conference3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2011
Country/TerritoryPortugal
CityOlhao, Algarve
Period12/10/1114/10/11

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