Towards real-time registration of 4D ultrasound images

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 404-407

  Foroughi, Pezhman ^a   Abolmaesumi, Purang ^a   Hashtrudi Zaad, Keyvan ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BIOLOGICAL ORGANS; BIOMEDICAL ENGINEERING; IMAGE REGISTRATION; REAL TIME SYSTEMS; TUMORS; ULTRASONICS;

FEATURE POINTS; LIVER; ULTRASOUND IMAGE;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; ULTRASONOGRAPHY;

EID: 34047110343     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260658     Document Type: Conference Paper

References (12)

1. J. Brewer, M. Betke, D. P. Gierga, and G. T. Y. Chen, "Real-time 4D tumor tracking and modeling from internal and external fiducials in fluoroscopy," in Med. Image Comp. & Camp. Assist. Interventions (MICCAI), 2004, pp. 594-601.
2. H. Shirato et al., "Four-dimensional treatment planning and fluoroscopic real-time tumor tracking radiotherapy for moving tumor," Int. J. Radiation Oncology Biol. Phys., vol. 48, no. 2, pp. 435-442, 2000.
3. A. P. King, J. M. Blackall, G. P. Penney, and D. J. Hawkes, "Tracking liver motion using 3-D ultrasound and a surface based statistical shape model," in Math. Methods Biomed. Image Anal., Desember 2001, pp. 145-152.
4. J. M. Blackall, G. P. Penney, A. P. King, and D. J. Hawkes, "Alignment of sparse freehand 3-D ultrasound with preoperative images of the liver using models of respiratory motion and deformation," IEEE Trans. Image Process., vol. 24, no. 11, pp. 1405-1416, November 2005.
5. D. Shen et al., "Consistent estimation of cardiac motions by 4D image registration," in Med. Image Comp. & Comp. Assist. Interventions (MICCAI), 2005, pp. 902-910.
6. D. Perperidis, R. Mohiaddin, and D. Rueckert, "Spatio-temporal free-form registration of cardiac MR image sequences," in Med. Imag. Comp. & Comp. Assist. Interventions (MICCAI), 2004, pp. 911-919.
7. M. J. Ledesma-Carbayo et al., "Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation," IEEE Trans. Med. Imag., vol. 24, no. 9, pp. 1113-1126, 2005.
8. X. Chen et al., "Temporal and spatial registration for cardiac strain rate imaging," in IEEE Symp. on Ultrasonics, vol. 2, 2003, pp. 2134-2137.
9. J. Gu, C. Toumoulin, and H. Shu, "Spatio-temporal registration in coronary angiography," in IEEE Eng. Med. Biol. (IEMBS), vol. 1, 2003, pp. 584-587.
10. T. Rohlfing, C. Maurer, J. O'Dell, and J. Zhong, "Modeling liver motion and deformation during the respiratory cycle using intensitybased free-form registration of gated MR images," in Proc. Int. Soc. Opt. Eng. (SPIE), 2001, pp. 337-348.
11. P. Foroughi and P. Abolmaesumi, "Elastic registration of 3d ultrasound images," in Med Image Comp. & Comp. Assist. Interventions (MICCAI), 2005, pp. 83-90.
12. D. Shen and C. Davatzikos, "HAMMER: hierarchical attribute matching mechanism for elastic registration," IEEE Trans. Med. Imag., vol. 21, no. 11, pp. 1421-1439, 2002.