Segmentation of calcification regions in intravascular ultrasound images by adaptive thresholding

Proceedings - IEEE Symposium on Computer-Based Medical Systems

Volumn 2006, Issue , 2006, Pages 446-450

  Dos Santos Filho, Esmeraldo ^a   Saijo, Yoshifumi ^a   Yambe, Tomoyuki ^a   Tanaka, Akira ^b   Yoshizawa, Makoto ^a  

^a TOHOKU UNIVERSITY   (Japan)

^b FUKUSHIMA UNIVERSITY   (Japan)

Author keywords

Adaptive thresholding; Image segmentation; Intravascular ultrasound

Indexed keywords

BLOOD VESSELS; CALCIFICATION (BIOCHEMISTRY); IMAGE ANALYSIS; MEDICAL IMAGING; ULTRASONICS;

ADAPTIVE THRESHOLDING; CALCIFICATION REGIONS; INTRAVASCULAR ULTRASOUND;

IMAGE SEGMENTATION;

EID: 33845583142     PISSN: 10637125     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMS.2006.142     Document Type: Conference Paper

References (13)

1. X. Zhang, R. Charles and M. Sonka. Tissue characterization in intravascular ultrasound images. IEEE Transactions on Medical Imaging, vol.17, 1998, pp.889-899.
2. D.S. Scott, U.K. Arora, A. Farb, R. Virmani and N.J. Weissman. Pathologic validation of a new method to quantify coronary calcific deposits in vivo using intravascular ultrasound. The American Journal of Cardiology, vol.85, 2000, pp.37-40.
3. L.J. Shaw, P. Raggi, D.S. Berman, and T.Q. Callister. Coronary artery calcium as a measure of biologic age. Atherosclerosis, (available online), 2005.
4. E. Brusseau, C.L. Korte, F. Mastik, J. Schaar and A.F.W. van der Steen. Fully automatic luminal contour segmentation in intracoronary ultrasound imaging - a statistical approach. IEEE Transactions on Medical Imaging, vol.23, 2004, pp.554-566.
5. A. Nair, B.D. Kuabn, N. Obuchowski, and D.G. Vince. Assessing spectral algorithms to predict atherosclerotic plaque composition with normalized and raw intravascular ultrasound data. Ultrasound in Medicine and Biology, No. 10, Vol.27, 2001, pp.1319-1331.
6. Y. Saijo, A. Tanaka, N. Owada, Y. Akino, and S. Nitta Tissue velocity imaging of coronary artery by rotating-type intravascular ultrasound. Ultrasonics, Vol. 42, 2004, pp.753-757.
7. E. Santos Filho, M. Yoshizawa, A. Tanaka, Y. Saijo, T. Iwamoto, T. Yambe, and S. Nitta. An adaptive fuzzy segmentation of intravascular ultrasound images. Proceedings of The IEEE International Symposium on Biomedical Imaging (ISBI 2004). Arlington VA, USA, 2004, pp.1311-1314.
8. E. Santos Filho, M. Yoshizawa, T. Iwamoto, A. Tanaka, and Y.d Saijo. Detection of Luminal Contour Using Fuzzy Clustering and Mathematical Morphology in Intravascular Ultrasound Images. Proceedings of The 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS). (on CDROM) Shanghai-China, 2005.
9. E.I. Cespedes, C.L. de Korte, and A.F.W, van der Steen. Intraluminal ultrasonic palpation: assessment of local and cross-sectional tissue stiffness. Ultrasonics in Medicine and Biology, No. 3, Vol. 26, 2000, pp. 385-396.
10. D. Vince, K. Dixon, R. Cothren and J. Cornhill. Comparison of texture analysis methods for characterizations of coronary plaques in intravascular ultrasound images. Computerized Medical Imaging and Graphics, vol.24, 2000, pp.221-229.
11. M. Sonka, X. Zhang, M. Siebes, M. Bissing, S.C. Dejong, S.C. Collins and C.R. McKay. Segmentation of intravascular ultrasound images: a knowledge-based approach. IEEE Transactions on Medical Imaging, vol.14, 1995, pp.719-732.
12. N. Otsu. A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man, and Cybernetics,vol.smc-9, 1979, pp. 62-66.
13. G.P. Penney, J.M. Blackall, M.S. Hamady, T. Sabharwal, A. Adam, and D.J. Hawkes. Registration of freehand 3D ultrasound and magnetic resonance liver images. Medical Image Analysis, Vol.8, 2004, pp.81-91.