An innovative application of fuzzy clustering and mathematical morphology for the problem of luminal contour detection in intravascular ultrasound images is presented. Median and standard deviation are used as features for segmentation process. Comparison was made with gold standard segmented images obtained from the average of images segmented by experienced medical doctors. Tests were carried out with 20 in vivo coronary images obtained from different patients. High correlation coefficients were found between lumen regions manually and automatically defined when area, mean gray level, and standard deviation of the lumen regions were compared.
|Title of host publication
|Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 2005
|2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: 2005 Sept 1 → 2005 Sept 4
|Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
|2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
|05/9/1 → 05/9/4