Title :
Towards automatic full heart segmentation in computed-tomography images
Author :
Ecabert, O. ; Peters, J. ; Lorenz, C. ; von Berg, J. ; Vembar, M. ; Subramanyan, K. ; Lavi, G. ; Weese, J.
Author_Institution :
Philips Res. Lab., Aachen
Abstract :
We present a robust, fast and fully automatic approach enabling the segmentation of the main anatomical structures of the heart in CT images. The proposed method is based on the adaptation of a 3D triangulated mesh to new unknown images exploiting simultaneously knowledge of organ shape and typical gray level appearance in images, both learned from a training database made of 28 data sets. The described approach was tested on more than 50 volume images at different cardiac phases. Visual inspection by experts reveals that the proposed method is overall robust and succeeds in segmenting the heart up to minor interactive local corrections
Keywords :
cardiovascular system; computerised tomography; image segmentation; medical image processing; 3D triangulated mesh; automatic full heart segmentation; cardiac phases; computed-tomographic image; gray-level transition; shape-constrained deformable model; Anatomical structure; Computed tomography; Heart; Image databases; Image segmentation; Inspection; Robustness; Shape; Testing; Visual databases;
Conference_Titel :
Computers in Cardiology, 2005
Conference_Location :
Lyon
Print_ISBN :
0-7803-9337-6
DOI :
10.1109/CIC.2005.1588077