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.
|Title of host publication||Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges|
|Subtitle of host publication||STACOM 2012|
|Editors||Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, Maxime Sermesant, Alistair Young|
|Number of pages||8|
|Publication status||Published - 2013|
|Name||Lecture Notes in Computer Science|