Image analysis – Applications – Biomedical applications
Reexamination Certificate
2007-05-29
2007-05-29
Wu, Jingge (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S256000, C378S021000
Reexamination Certificate
active
10673089
ABSTRACT:
An automatic method for the registration of prone and supine computed tomographic colonography data is provided. The method improves the radiologist's overall interpretation efficiency as well as provides a basis for combining supine/prone computer-aided detection results automatically. The method includes determining (centralized) paths or axes of the colon from which relatively stationary points of the colon are matched for both supine and prone positions. Stretching and/or shrinking of either the supine or prone path perform registration of these points. The matching and registration occurs in an iterative and recursive manner and is considered finished based on one or more decision criteria.
REFERENCES:
patent: 5458111 (1995-10-01), Coin
patent: 5491627 (1996-02-01), Zhang et al.
patent: 5891030 (1999-04-01), Johnson et al.
patent: 5920319 (1999-07-01), Vining et al.
patent: 5971767 (1999-10-01), Kaufman et al.
patent: 6083162 (2000-07-01), Vining
patent: 6246784 (2001-06-01), Summers et al.
patent: 6331116 (2001-12-01), Kaufman et al.
patent: 6345112 (2002-02-01), Summers et al.
patent: 6556696 (2003-04-01), Summers et al.
patent: 2002/0039400 (2002-04-01), Kaufman et al.
patent: 2003/0161522 (2003-08-01), Campanini et al.
patent: 2003/0172043 (2003-09-01), Guyon et al.
H. Yoshida et al. in a paper entitled “CAD Techniques, Challenges, and Controversies in Computed Tomographic Colonography”. Published in Springer and Business Media, Inc. 2004 (p;. 26-41).
D.S. Paik, et al. 1998, “Automated flight path planning for virtual endoscopy”, Medical Physics 25 (5), 629-637.
J.G. Fletcher, et al., “Optimization of CT colonography technique: prospective trial in 180 patients,”Radiology, vol. 216(3), pp. 741-711, 2000.
J. Yee, et al., “The usefulness of glucagon hydrochloride for colonic distention in CT colonograpy,”Am J Roentgenol, vol. 173(1), pp. 169-172, 1999.
Iordanescu et al., “Benefits of Centerline Analysis for CT Colonography Computer-Aided Polyp Detection”, Medical Imaging, Proceedomgs of SPIE vol. 5031 (2003), pp. 388-397.
Wingo P.J., Cancer Statistics, ca Cancer Journal Clin, 1995; 45:8-30.
Thoeni R.F., Laufer I. “Polpys and cancer,” Textbook of Gatrointestinal Radiology, Philiadelphia: W.B. Saunders, 1994; 1160.
Winawer S.J., Zauber A.G., Ho M.N., O'Brien M.J., Gottlieb L.S., Sternberg S.S., Waye J.D., et al. “Prevention of colorectal cancer by colonoscopic polypectomy.” The national polyp study workgroup. N. Engl. J. Med. 1993; 329: 1977-1981.
Jerebko et al. “Computer-aided polyp detection in CT colonography using and ensemble of support vector machines” International Congress Series 1256 (2003) pp. 1019-1024.
K. Veropoulos et al. (1999) in a paper entitled “Controlling the sensitivity of support vector machines” and presented at the Int. Joint Conf. AI (IJCAI'99), Stockholm, Sweden.
DM Eddy (1990) entitled “Screening for colorectal cancer” and published in Ann. Intern Med., 113 373-384.
RM Summers et al. (2000) entitled Polypoid lesions of airways: early experience with computer-assisted detection by using virtual bronchoscopy and surface curvature and published in Radiology 208 (2):331-337.
Yoshida et al., (2000) in a paper entitled “Detection of colonic polyps in CT colonography based on geometric features” and published in Radiology 217 (SS):582-582.
SB Gokturk & C Tomasi (2000) in a paper entitled “A graph method for the conservative detection of polyps in the colon” and published at the 2ndInternational Symposium on Virtual Colonoscopy Nov. 2000 Boston, USA.
DS Paik et al. (2000) in a paper entitled Computer aided of polyps in CT colonograpy: Free response roc evaluation of performance and published in Radiology 217 (SS)370.
DS Paik et al. (1999) in a paper entitled “Detection of polyps in CT colonography: A comparison of a computer aided detection algorithm to 3-D visualization methods” and published n Radiology Society of North America 85thScientific Session. Chicago, IL: Radiology Soc. N. Amer. p. 428.
MK Hu (1962) entited “Visual pattern recognition by moment invariants” and published in IRE transactions on information theory IT-8:179-187.
B. Scholkopf (1997) in a book entitled “Support Vector Learning” and published by Munich, Germany; R. Oldenbourg Verlag.
Acar Burak
Beaulieu Christopher F.
Jeffrey R. Brooke
Napel Sandy A.
Paik David S.
Azarian Seyed
Lumen Intellectual Property Services Inc.
The Board of Trustees of the Leland Stanford Junior University
Wu Jingge
LandOfFree
Method for matching and registering medical image data does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method for matching and registering medical image data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for matching and registering medical image data will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3784672