Combining growcut and temporal correlation for IVUS lumen segmentation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6669 LNCS, Issue , 2011, Pages 556-563

  Balocco, Simone ^a,b   Gatta, Carlo ^a,b   Ciompi, Francesco ^a,b   Pujol, Oriol ^a,b   Carrillo, Xavier ^c   Mauri, Josepa ^c   Radeva, Petia ^a,b  

^a Barcelona Perception Computing Lab   (Spain)

^b UNIVERSITY OF BARCELONA   (Spain)

^c HOSPITAL UNIVERSITARI GERMANS TRIAS I PUJOL   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL INDICES; CORONARY ARTERY DISEASE; IN-VIVO EXPERIMENTS; LUMEN SEGMENTATIONS; MANUAL SEGMENTATION; SEGMENTATION ERROR; SPATIAL CLASSIFICATION; TEMPORAL CORRELATIONS; TEMPORAL INFORMATION; VESSEL LUMEN;

DISEASES; IMAGE ANALYSIS; PATTERN RECOGNITION; RATING; CLASSIFICATION (OF INFORMATION); STENTS;

IMAGE SEGMENTATION; IMAGE ANALYSIS;

EID: 79959968621     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21257-4_69     Document Type: Conference Paper

References (13)

1. Mendizabal-Ruiz, E.G., Biros, G., Kakadiaris, I.A.: An inverse scattering algorithm for the segmentation of the luminal border on intravascular ultrasound data. Med. Image Comput. Comput. Assist. Interv. 12(Pt2), 885-892 (2009)
2. Unal, G., Bucher, S., Carlier, S., Slabaugh, G., Fang, T., Tanaka, K.: Shape-driven segmentation of the arterial wall in intravascular ultrasound images. IEEE Trans. Inf. Technol. Biomed. 12(3), 335-347 (2008)
3. Gil, D., Radeva, P., Saludes, J., Mauri, J.: Automatic segmentation of artery wall in coronary ivus images: a probabilistic approach. Comput. Cardiol., 687-690 (2000)
4. Brusseau, E., Korte, C.D., Mastik, F., Schaar, J., Steen, A.V.D.: Fully automatic contour detection in intravascular ultrasound imaging. IEEE Trans. Med. Imag. 5(27), 108-118 (2004)
5. Klingensmith, J.D., Shekhar, R., Vince, D.G.: Evaluation of three-dimensional segmentation algorithms for the identification of luminal and medial-adventitial borders in intravascular ultrasound images. IEEE Trans. Med. Imaging 19(10), 996-1011 (2000)
6. Jianming, H., Xiheng, H.: An approach to automatic segmentation of 3d intravascular ultrasound images. In: Nuclear Science Symposium and Medical Imaging Conference, vol. 3, pp. 1461-1464 (1994)
7. Sonka, M., Liang, W., Zhang, X., DeJong, S., Collins, S.M., McKay, C.R.: Three-dimensional automated segmentation of coronary wall and plaque from intravascular ultrasound pullback sequences. In: Computers in Cardiology 1995, pp. 637-640 (1995)
8. Kudo, N., Kanenari, T., Zhang, X., Yamamoto, K.: In vitro study on arterial lumen detection using a correlation technique in ivus, vol. 2, pp. 830-831 (1998)
9. Vezhnevets, V., Konouchine, V.: Grow-cut - interactive multi-label n-d image segmentation, pp. 150-156 (2005)
10. Gatta, C., Balocco, S., Ciompi, F., Hemetsberger, R., Leor, O.R., Radeva, P.: Realtime gating of ivus sequences based on motion blur analysis: Method and quantitative validation. Med. Image Comput. Comput. Assist. Interv. 13, 59-67 (2010)
11. Smith, S.F., Wagner, R.F.: Ultrasound speckle size and lesion signal to noise ratio: verification of theory. Ultrason Imaging 6(2), 174-180 (1984)
12. Cohen, L., Kimmel, R.: Global minimum for active contour models: A minimal path approach. International Journal of Computer Vision 24, 57-78 (1997)
13. Otsu, N.: A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man and Cybernetics 9(1), 62-66 (1979)