Paper Info
Title
Infarct segmentation challenge on delayed enhancement MRI of the left ventricle
Abstract
This paper presents collated results from the Delayed Enhancement MRI (DE-MRI) segmentation challenge at MICCAI 2012. DE-MRI Images from fifteen patients and fifteen pigs were randomly selected from two different imaging centres. Three independent sets of manual segmentations were obtained for each image and included in this study. A ground truth consensus segmentation based on all human rater segmentations was obtained using an Expectation-Maximization (EM) method (the STAPLE method). Automated segmentations from five groups contributed to this challenge.
Year
DOI
Venue
2012
10.1007/978-3-642-36961-2_12
STACOM
Keywords
DocType
Citations 
fifteen patient,delayed enhancement mri,automated segmentation,staple method,ground truth consensus segmentation,segmentation challenge,manual segmentation,infarct segmentation challenge,fifteen pig,human rater segmentation,delayed enhancement,de-mri images,left ventricle
Conference
0
PageRank 
References 
Authors
0.34
2
12
Name
Order
Citations
PageRank
Rashed Karim1569.98
Piet Claus2647.84
Zhong Chen3132.91
R. James Housden4509.83
Samantha Obom510.70
Harminder Gill610.70
YingLiang Ma725126.76
Prince Acheampong810.70
Mark O'Neill9366.67
Reza Razavi1092994.25
Tobias Schaeffter1147251.54
Kawal S. Rhode1275978.72