TY - GEN
T1 - Healthy and scar myocardial tissue classification in DE-MRI
AU - Albà, Xènia
AU - Figueras I Ventura, Rosa M.
AU - Lekadir, Karim
AU - Frangi, Alejandro F.
PY - 2013
Y1 - 2013
N2 - We propose an automatic technique to segment scar and classify the myocardial tissue of the left ventricle from Delay Enhancement (DE) MRI. The method uses multiple region growing with two types of regions and automatic seed initialization. The region growing criteria is based on intensity distance and the seed initialization is based on a thresholding technique. We refine the obtained segmentation with some morphological operators and geometrical constraints to further define the infarcted area. Thanks to the use of two types of regions when performing the region growing, we are able to segment and classify the healthy and pathological tissues. We have also a third type of tissue in our classification, which includes tissue areas that deserve special attention from medical experts: border-zone tissue or myocardial segmentation errors.
AB - We propose an automatic technique to segment scar and classify the myocardial tissue of the left ventricle from Delay Enhancement (DE) MRI. The method uses multiple region growing with two types of regions and automatic seed initialization. The region growing criteria is based on intensity distance and the seed initialization is based on a thresholding technique. We refine the obtained segmentation with some morphological operators and geometrical constraints to further define the infarcted area. Thanks to the use of two types of regions when performing the region growing, we are able to segment and classify the healthy and pathological tissues. We have also a third type of tissue in our classification, which includes tissue areas that deserve special attention from medical experts: border-zone tissue or myocardial segmentation errors.
UR - http://www.scopus.com/inward/record.url?scp=84876229135&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-36961-2_8
DO - 10.1007/978-3-642-36961-2_8
M3 - Conference contribution
AN - SCOPUS:84876229135
SN - 9783642369605
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 62
EP - 70
BT - Statistical Atlases and Computational Models of the Heart
T2 - 3rd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2012
Y2 - 5 October 2012 through 5 October 2012
ER -