This paper presents a level set deformable model to segment all four chambers of the fetal heart simultaneously. We show its results in 2D on 53 images taken from only 8 datasets. Due to our lack of sufficient data we built only a mean template from the training data instead of a full active shape model. Using rigid registration the template was registered to unseen images and the snakes were guided by individual chamber priors as they evolved in unison to segment missing cardiac structures in the presence of high noise. Using a leave one out approach most of the segmentation errors are within 3 pixels of manually traced contours.
|Title of host publication||2007 5th International Symposium on Image and Signal Processing and Analysis|
|Publication status||Published - 2007|
|Event||5th International Symposium on Image and Signal Processing and Analysis - Istanbul, Turkey, Istanbul, Turkey|
Duration: 27 Sep 2007 → 29 Sep 2007
|Conference||5th International Symposium on Image and Signal Processing and Analysis|
|Period||27/09/07 → 29/09/07|