Blood vessel segmentation using line-direction vector based on Hessian analysis

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7623, Issue PART 1, 2010, Pages

  Nimura, Yukitaka ^a   Kitasaka, Takayuki ^b   Mori, Kensaku ^a  

^a NAGOYA UNIVERSITY   (Japan)

^b AICHI INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

blood vessel segmentation; computer aided diagnosis; computer aided surgery; Hessian analysis; region growing

Indexed keywords

BLOOD VESSEL SEGMENTATION; COMPUTER AIDED SURGERY; DIRECTION VECTOR; FALSE POSITIVE; HESSIAN ANALYSIS; INTENSITY VALUES; LAPAROSCOPIC SURGERY; LARGEST EIGENVALUES; MEDICAL IMAGE PROCESSING SYSTEMS; MINIMALLY INVASIVE SURGERY; NATURAL ORIFICE TRANSLUMENAL ENDOSCOPIC SURGERIES; OCCLUSIVE DISEASE; PARTIAL VOLUME EFFECT; REGION GROWING; STENOSES; VASCULAR DISEASE; VASCULATURE;

BLOOD; COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; EIGENVALUES AND EIGENFUNCTIONS; ENDOSCOPY; IMAGE SEGMENTATION; IMAGING SYSTEMS; MEDICAL IMAGING; SURGERY;

BLOOD VESSELS;

EID: 79751497407     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.844672     Document Type: Conference Paper

References (10)

1. Frangi, A., Niessen, W., Vincken, K., and Viergever, M., "Multiscale vessel enhancement filtering," Proceedings of Medical Image Computing and Computer-Assisted Intervention 1496, 130-137 (1998).
2. Sato, Y., Nakajima, S., Shiraga, N., Atsumi, H., Koller, S. Y. T., Gerig, G., and Kikinis, R., "Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images," Medical Image Analysis 2, 143-168 (1998).
3. Martinez-Perez, M., Stanton, A. H. A., Bharath, S. T. A., and Parker, K., "Retinal blood vessel segmentation by means of scale-space analysis and region growing," Proceedings of Medical Image Computing and Computer-Assisted Intervention 1679, 90-97 (1999).
4. Masutani, Y., Schiemann, T., and Hohne, K., "Vascular shape segmentation and structure extraction using a shape-based region-growing model," Proceedings of Medical Image Computing and Computer-Assisted Intervention 1496, 1242-1249 (1998).
5. Flasque, N., Desvignes, M., Constans, J., and Revenu, M., "Acquisition, segmentation and tracking of the cerebral vascular tree on 3d magnetic resonance angiography images," Medical Image Analysis 5, 173-183 (2001).
6. Wesarg, S., Khan, M., and Firle, E., "Localizing calcifications in cardiac ct data sets using a new vessel segmentation approach," Journal of Digital Imaging 19, 249-257 (2006).
7. Lorigo, L., Faugeras, O., Grimson, W., Keriven, R., Kikinis, R., and Westin, C., "Co-dimension 2 geodesic active contours for mra segmentation," International Conference of Information Processing in Medical Imaging 1613,126-133 (1999).
8. Nain, D., Yezzi, A., and Turk, G., "Vessel segmentation using a shape driven flow," Proceedings of Medical Image Computing and Computer-Assisted Intervention 3216, 51-59 (2004).
9. Qian, X., Brennan, M., Dione, D., Jackowski, W. D. M., Breuer, C, Sinusas, A., and Papademetris, X., "A non-parametric vessel detection method for complex vascular structures," Medical Image Analysis 13, 49-61 (2009).
10. Mori, S. and van Zijl, P., "Fiber tracking: principles and strategies - a technical review," NMR in Biomedicine 15, 468-480 (2002).