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BHAN, A. GOYAL, A. DUTTA, M. ŘÍHA, K. OMRAN, Y.
Originální název
Image-Based Pixel Clustering and Connected Component Labeling in Left Ventricle Segmentation of Cardiac MR Images
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This research demonstrates a completely automated subsecond fast technique for left ventricle (LV) segmentation from clinical cardiac MRI images for the crucial assessment of left ventricular dysfunction as a measure of cardiac diseases. In this work left ventricle segmentation is achieved using the combination of fuzzy c-means which is a pixel based classification method and connected component labeling. This strategic combination obviates user intervention and problem of seed point initialization as it automatically segments the LV accurately on all frames in the complete cardiac cycle in multi-frame MRI. The both methods complement each other such that it achieves sub-second fast computational speed of 0.7 seconds on average per frame. Thus this technique’s computational time for left ventricle segmentation is much faster than iteration based methods. The accuracy of the automatic segmentation technique was tested against manual segmentation on the basis of correlation coefficient. can be considered clinically significant.
Klíčová slova
left ventricle; cardiac cycle; cardiac MRI; fuzzy c-means clustering; connected component labeling
Autoři
BHAN, A.; GOYAL, A.; DUTTA, M.; ŘÍHA, K.; OMRAN, Y.
Rok RIV
2015
Vydáno
8. 10. 2015
Místo
Brno, Czech Republic
ISBN
978-1-4673-9282-2
Kniha
2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
Strany od
339
Strany do
342
Strany počet
4
URL
https://ieeexplore.ieee.org/document/7382454
BibTex
@inproceedings{BUT117836, author="Anupama {Bhan} and Ayush {Goyal} and Malay Kishore {Dutta} and Kamil {Říha} and Yara {Omran}", title="Image-Based Pixel Clustering and Connected Component Labeling in Left Ventricle Segmentation of Cardiac MR Images", booktitle="2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)", year="2015", pages="339--342", address="Brno, Czech Republic", doi="10.1109/ICUMT.2015.7382454", isbn="978-1-4673-9282-2", url="https://ieeexplore.ieee.org/document/7382454" }