A comparison of medical image segmentation methods for cerebral aneurysm computational hemodynamics

Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011

Volumn 2, Issue , 2011, Pages 901-904

  Sen, Y ^a   Zhang, Y ^a   Qian, Y ^a   Morgan, M ^a  

^a MACQUARIE UNIVERSITY   (Australia)

Author keywords

computational hemodynamics; computed tomography; image segmentation; medical imaging; region growing; threshold

Indexed keywords

ANATOMICAL SHAPE; CEREBRAL ANEURYSMS; CLINICAL APPLICATION; CLINICAL DECISION; COMPUTATIONAL HEMODYNAMICS; COMPUTED TOMOGRAPHY; ENERGY LOSS; GEOMETRIC SHAPE; INTENSITY RANGE; INTENSITY THRESHOLD; MEDICAL IMAGE SEGMENTATION; REGION GROWING; SEGMENTATION METHODS; SEGMENTATION QUALITY; THRESHOLD; VESSEL SEGMENTATION; VOLUME CHANGE;

BIOMEDICAL ENGINEERING; COMPUTERIZED TOMOGRAPHY; ENERGY DISSIPATION; HEMODYNAMICS; INFORMATION SCIENCE; MEDICAL IMAGING; QUALITY CONTROL; THREE DIMENSIONAL; TOMOGRAPHY;

IMAGE SEGMENTATION;

EID: 84862954412     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BMEI.2011.6098437     Document Type: Conference Paper

References (3)

1. JB. Tomas, JS. Milner, BK. Rutt, DA. Steinman, "Reproducibility of computational fluid dynamics models reconstructed from serial black blood MRI of the human carotid bifurcation," Ann. Biomed. Eng., vol. 31(2), pp.132-141, 2003.
2. P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion," IEEE transactions on Pattern Analysis Machine Intelligence," vol.12 pp. 629-639, 1990. (Pubitemid 20726016)
3. T. Yoo, editor. Insight Into Images: priciples and practice for segmentation, registration, and imge analysis. AK Peters, Wellesley, Massachusetts, 2004.