Fully automated segmentation of long-axis mri strain-encoded (SENC) images using active shape model (ASM)

Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

Volumn , Issue , 2009, Pages 827-830

  Harouni, Ahmed A ^a   Bluemke, David A ^b   Osman, Nael F ^a,c  

^a Departments of Electrical and Computer Engineering

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Active shape model; Image segmentation; Right ventricle strain; Strain encoded MRI

Indexed keywords

ACTIVE SHAPE MODEL; AUTOMATED SEGMENTATION; AUTOMATIC METHOD; CARDIAC CYCLES; DETECTION ALGORITHM; ENCODING TECHNIQUES; HEART DISEASE; LEFT VENTRICLES; LOW SIGNAL-TO-NOISE RATIO; MANUAL SEGMENTATION; MYOCARDIAL INFARCTION; MYOCARDIAL STRAIN; PRIOR KNOWLEDGE; RIGHT VENTRICLE; RIGHT VENTRICLE STRAIN; SIMILARITY COEFFICIENTS; STRAIN VALUES;

ACOUSTIC INTENSITY; DIGITAL IMAGE STORAGE; SIGNAL TO NOISE RATIO;

IMAGE SEGMENTATION;

EID: 70449403427     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2009.5193180     Document Type: Conference Paper

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