Image-Based Pixel Clustering and Connected Component Labeling in Left Ventricle Segmentation of Cardiac MR Images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU115946" target="_blank" >RIV/00216305:26220/15:PU115946 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/7382454" target="_blank" >https://ieeexplore.ieee.org/document/7382454</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICUMT.2015.7382454" target="_blank" >10.1109/ICUMT.2015.7382454</a>

Result language
angličtina
Original language name
Image-Based Pixel Clustering and Connected Component Labeling in Left Ventricle Segmentation of Cardiac MR Images
Original language description
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.
Czech name
—
Czech description
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Project
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
ISBN
978-1-4673-9282-2
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
339-342
Publisher name
Neuveden
Place of publication
Brno, Czech Republic
Event location
Brno
Event date
Oct 6, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000380551300060

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