Image analysis – Applications – Biomedical applications
Reexamination Certificate
2008-08-06
2011-12-06
Laballe, Clayton E (Department: 2862)
Image analysis
Applications
Biomedical applications
Reexamination Certificate
active
08073215
ABSTRACT:
A plane position for a standard view is detected from three-dimensional echocardiographic data. The position of the plane within the volume is defined by translation, orientation (rotation), and/or scale. Possible positions are detected and other possible positions are ruled out. The classification of the possible positions occurs sequentially by translation, then orientation, and then scale. The sequential process may limit calculations required to identify the plane position for a desired view.
REFERENCES:
patent: 7916919 (2011-03-01), Zheng et al.
patent: 2006/0034513 (2006-02-01), Cai et al.
patent: 2006/0064017 (2006-03-01), Krishnan et al.
patent: 2006/0239527 (2006-10-01), Krishnan et al.
patent: 2007/0071295 (2007-03-01), Jackson
patent: 2008/0009722 (2008-01-01), Simopoulos et al.
Freeman, William T., and Edward H. Adelson. “The Design and Use of Steerable Features.” IEEE Trans. Patt. Anal. and Machine Intell. 13.9 (1991): 891-906. Web.
Zheng et al., “Fast Automatic Heart Chamber Ssegmentation from 3D CT Data Using Marginal Space Learning and Steerable Features”, Proc. International Conference on computer Vision, 2007.
Zhuowen Tu, “Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering”, Proc. International Conference on Computer Vision, pp. 1589-1596, 2005.
Xiagoguang Lu et al., “AUTOMPR: Automatic Detection of Standard Planes in 3D Echocardiography”, Proc. IEEE Int'l Symp. on Biomedical Imaging (ISBI '08), pp. 1279-1282, May 2008.
F. Sheehan, E. Bolson, R. Martin, G. Bashein, and J. McDonald, “Quantitative three-dimensional echocardiography: Methodology, validation and clinical applications,” inProc. MICCAI, Boston, MA, 1998, pp. 102-109.
A. Giachetti, “On-line analysis of echocardiographic image sequences,”Medical Image Analysis, vol. 2, No. 3, pp. 261-284, 1998.
X. Papadimetris, A. Sinusas, D. Dione, and J. Duncan, “3D cardiac deformation from ultrasound images,”in Proc. MIC-CAI, Cambridge, U.K., 1999, pp. 420-429.
G. Jacob, A. Noble, M. Mulet-Parada, and A. Blake, “Evaluating a robust contour tracker on echocardiographic sequences,”Medical Image Analysis, vol. 3, No. 1, pp. 63-76, 1999.
L.D. Jacobs, I.S. Salgo, S. Goonewardena, L. Weinert, P. Coon, D. Bardo, O. Gerard, P. Allain, J.L. Zamorano, L.P. de Isla, V. Mor-Avi, and R.M. Lang, “Rapid online quantification of left ventricular volume from real-time three-dimensional echocardiographic data,”European Heart Journal, vol. 27, No. 4, pp. 460-468, 2006.
Harvey Feigenbaum, William F. Armstrong, and Thomas Ryan,Feigenbaum's echocardiography, Lippincott Williams & Wilkins, 2005.
Gerardo I. Sanchez-Ortiz, Gabriel J. T. Wright, Nigel Clarke, Jrme Declerck, Adrian P. Banning, and J. Alison Noble, “Automated 3-D echocardiography analysis compared with manual delineations and SPECT MUGA,”IEEE Trans. on Medical Imaging, vol. 21, No. 9, pp. 1069-1076, 2002.
B. Georgescu, X. Zhou, D. Comaniciu, and A. Gupta, “Database-guided segmentation of anatomical structures with complex appearance,” inProc. IEEE CVPR, 2005.
P. Viola and M. J. Jones, “Robust real-time face detection,”International Journal of Computer Vision, vol. 57, No. 2, pp. 137-154, 2004.
Comaniciu Dorin
Georgescu Bogdan
Lu Xiaoguang
Otsuki Joanne
Zheng Yefeng
Hancock Dennis
Laballe Clayton E
Siemens Medical Solutions USA , Inc.
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