Title :
Active appearance motion model segmentation
Author :
Sonka, Milan ; Lelieveldt, Boudewijn P F ; Mitchell, Steven C. ; Bosch, Johan G. ; Van der Geest, Rob J. ; Reiber, Johan H C
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
Abstract :
An adaptive method for temporal sequence segmentation was developed and its performance assessed in the segmentation of cardiac motion image sequences. The primary contribution of this paper is the development of a novel, 2D+time active appearance motion model (AAMM) that represents the dynamics of the cardiac cycle in combination with the shape and image appearance of the heart. Cootes´ 2D active appearance model (AAM) framework was extended by considering a complete image sequence as a single shape/intensity sample. This way, the proven strength of AAMs, like robustness and ability to capture observer preference, are augmented with temporal consistency over an image sequence
Keywords :
cardiology; image segmentation; image sequences; medical image processing; 2D active appearance model framework; active appearance motion model segmentation; adaptive method; cardiac cycle dynamics; cardiac motion image sequences; complete image sequence; heart image appearance; heart shape; image sequence; observer preference; single shape/intensity sample; temporal consistency; temporal sequence segmentation; Active appearance model; Active shape model; Biomedical engineering; Cities and towns; Heart; Image segmentation; Image sequences; Principal component analysis; Radiology; Robustness;
Conference_Titel :
Digital and Computational Video, 2001. Proceedings. Second International Workshop on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7695-1110-4
DOI :
10.1109/DCV.2001.929943
