Automated in vivo delineation of lumen wall using intravascular ultrasound imaging

This paper presents a novel methodology for automated detection and extraction of the lumen wall from Intravascular Ultrasound (IVUS) frames. IVUS is an in-vivo pull back imaging technique and provides a sequential frame of images for diagnosis of atherosclerotic heart disease. The detection and seg...

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Bibliographic Details
Published in2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Vol. 2016; pp. 4125 - 4128
Main Authors China, Debarghya, Nag, Manas K., Mandana, K. M., Sadhu, Anup K., Mitra, Pabitra, Chakraborty, Chandan
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.08.2016
Subjects
Algorithms
Arteries
Automation
Coronary Artery Disease - diagnostic imaging
Coronary Vessels - diagnostic imaging
Electronic mail
Humans
Image Processing, Computer-Assisted - methods
Image segmentation
Imaging
IVUS
Lumen wall detection
Probabilistic logic
Probability
Random Walk
Seed refinement
Ultrasonic imaging
Ultrasonography - methods
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Summary:This paper presents a novel methodology for automated detection and extraction of the lumen wall from Intravascular Ultrasound (IVUS) frames. IVUS is an in-vivo pull back imaging technique and provides a sequential frame of images for diagnosis of atherosclerotic heart disease. The detection and segmentation of lumen wall is necessary for predicting the arterial wall blockage. Lumen wall is recognized and segmented with the help of seed refinement and random walks algorithms, in tunica and lumen area. The proposed methodology was tested on 147 frames of 13 patients. Proposed method achieves significant performances for automated lumen wall detection and extraction as compared with existing literature.
ISSN:1557-170X
DOI:10.1109/EMBC.2016.7591634