Characterizing normal and abnormal cardiac echo motion patterns

Computers in Cardiology

Volumn 33, Issue , 2006, Pages 725-728

  Syeda Mahmood, T ^a   Yang, J ^b  

^a IBM ALMADEN RESEARCH CENTER   (United States)

^b SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SULFUR COMPOUNDS;

ABNORMAL MOTION; AVERAGE VELOCITY; CARDIAC MOTIONS; CARDIO-VASCULAR DISEASES; HEART DISEASES; MECHANICAL PERFORMANCES; MOTION PATTERNS;

CARDIOLOGY;

EID: 38149135396     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Montillo A, Metaxas D, Axel L. Automated model-based segmentation of the left and right ventricles in tagged cardiac MRI. MICCAI (1) 2003: 507-515.
2. Papademetris X, Sinusas A, Dione D, Duncan J. 3D cardiac deformation from ultrasound images. In: Medical Image Computing and Computer Aided Intervention (MICCAI), (Cambridge, England) 1999: 420-429.
3. Zerhouni E, Parish D, Rogers W, Yang A, Shapiro E.. Human heart: tagging with MR imaging - a method for noninvasive assessment of myocardial motion. Radiology 1988; 169: 59-63.
4. Syeda-Mahmood T. Segmenting actions in velocity curve space. ICPR02 2002: 170-175.
5. Tagare H. Shape-based non-rigid curve correspondence with application to heart motion analysis. IEEE Transactions on Medical Imaging 1999; 18: 570-579.
6. Syeda-Mahmood T et al. Recognizing action events from multiple view points. Proc IEEE Workshop on detection and recognition of events in video (Vancouver) 2001.