Time resolved three-dimensional segmentation of the left ventricle in multimodality cardiac imaging
(English)Manuscript (preprint) (Other academic)
We propose a robust approach for multimodality segmentation of the cardiac left ventricle. The method is based on the concept of deformable models, but extended with an enhanced and fast edge detection scheme that includes temporal information, and anatomical a priori information. The algorithm is implemented with a fast numeric scheme for solving energy minimization, and efficient filter nets for fast edge detection. This allows clinically applicable time for a whole time resolved 3D cardiac data set to be acheived on a standard desktop computer. The algorithm is validated on images acquired using MRI Gradient echo, MRl (SSFP) images, and Cardiac CT, and tested for feasibility with three other imaging modalities, including gated blood pool SPECT, echocardiography and late enhancement MRL.
Image Segmentation, Deformable models, Left Ventricle, 3D, time resolved, edge detection
Medical and Health Sciences
IdentifiersURN: urn:nbn:se:liu:diva-86175OAI: oai:DiVA.org:liu-86175DiVA: diva2:575355