Image analysis – Applications – Biomedical applications
Reexamination Certificate
2005-11-21
2009-12-01
Carter, Aaron W (Department: 2624)
Image analysis
Applications
Biomedical applications
C128S922000, C600S425000
Reexamination Certificate
active
07627154
ABSTRACT:
A method for automatically classifying a radiograph. A digital radiographic image is acquired, wherein the image is comprised of a matrix of rows and columns of pixels. The digital image is segmented into foreground, background, and anatomy regions. A physical size of the anatomy region is classified. An edge direction histogram of the anatomy region is generated and a shape pattern of the edge direction histogram is classified. Based on the physical size classification and the shape pattern classification, the image is categorized.
REFERENCES:
patent: 5668888 (1997-09-01), Doi et al.
patent: 5791346 (1998-08-01), Craine et al.
patent: 5943435 (1999-08-01), Gaborski
patent: 6101408 (2000-08-01), Craine et al.
patent: 6585647 (2003-07-01), Winder
patent: 2003/0103665 (2003-06-01), Uppaluri et al.
patent: 2003/0215120 (2003-11-01), Uppaluri et al.
patent: 2004/0024315 (2004-02-01), Chalana et al.
patent: 1 450 303 (2004-08-01), None
Hui Luo et al., “Knowledge-based Image Understanding and Classification System for Medical Image Database”, 2002, Proceedings of SPIE, Vo. 4684, pp. 1224-1234.
Xiaohui Wang, Hui Luo—Eastman Kodak Company, Medical Imaging 2004: Image Procesing, Proceedings of SPIE, vol. 5370, Automatic and Exam-Type Independent Algorithm for the Segmentation and Extraction of Foreground, Background, and Anatomy Regions in Digital Radiographic Images, pp. 1427-1434.
U.S. Appl. No. 10/993,055, filed Nov. 19, 2004, Luo et al.
U.S. Appl. No. 60/630,270, filed Nov. 23, 2004, Luo et al.
U.S. Appl. No. 60/630,287, filed Nov. 23, 2004, Luo et al.
U.S. Appl. No. 60/630,326, filed Nov. 23, 2004, Luo et al.
U.S. Appl. No. 10/625,919, filed Jul. 24, 2003, Wang et al.
W. Niblack et al., The QBIC Project: Querying Images By Content Using Color, Texture, and Shape, SPIE vol. 1908 (1993) pp. 173-187.
A. Pentland et al., Photobook: Content-Based Manipulation of Image Databases, International Journal of Computer Vision, Fall 1995 (Jun. 12, 1995).
Jeffrey R. Bach et al., The Virage Image Search Engine: An open framework for image management, SPIE vol. 2670, pp. 76-87.
John R. Smith et al., VisualSEEk: a fully automated content-based image query, ACM Multimedia 96, Boston, MA Nov. 20, 1996.
Wei-Ying Ma et al., NeTra: A toolbox for navigating large image databases, Multimedia Systems 7: (1999) pp. 184-198.
Tom Huang et al., Multimedia Analysis and Retrieval System (MARS) Project, Proc of 33rd Annual Clinic on Library Application of Data Processing Digital Image Access and Retrieval, 1996.
I. Kawashita et al., Development of Computerized Method for Automated Classification of the Body Parts in Digital Radiographs, RSNA 2002.
J. Dahmen et al., Classification of Radiographs in the Image Retrieval in Medical Applications—System (IRMA), Proc 6th International RIAO Conference on Content-based Multimedia Information Access- Paris, France, 2000, pp. 551-566.
Hui Luo et al., Knowledge-based Image Understanding and Classification System for Medical Image Database, Proceedings of SPIE—The International Society for Optical Engineering, Vo. 4694, No. 22, Feb. 2002, pp. 1224-1234.
Luo Hui
Wang Xiao-hui
Carestream Health Inc.
Carter Aaron W
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