Image analysis – Applications – Biomedical applications
Reexamination Certificate
1995-04-07
2002-07-02
Bella, Matthew C. (Department: 2721)
Image analysis
Applications
Biomedical applications
C382S128000, C378S004000, C378S020000
Reexamination Certificate
active
06415048
ABSTRACT:
COPYRIGHT NOTICE
A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure as it appears in the Patent and Trademark Office patent file or records, but otherwise reserves all copyright rights whatsoever.
BACKGROUND OF THE INVENTION
The present invention relates to the field of data analysis. In one specific embodiment the invention provides a method of identifying specific regions of an image and comparing each region with other identified regions, with an identified region of another image, or with the features of the same region retrieved from a database.
Often, it is desirable to be able to compare the data represented by two images of an object. For example, in medicine, it is often desirable to compare images of a brain with a suspected disease to images of healthy brains, or images of a diseased liver of a patient to normal livers. Furthermore, certain diagnostic and experimental procedures benefit from the comparison of images taken of the same patient and body part, but at different times, or under different conditions. This enables the physician to better diagnose a patient's condition.
The presently available methods of comparing images are generally limited to comparing the images in their entirety. For example, two images may be digitally subtracted in their entirety, and certain areas of interest can be visually identified prior to analysis. However, there are situations where it is desirable to compare a specific region of an image to another region of the same image or to a specific region of an other image. For example, a neurologist might wish to quantitatively compare the structure or activity level of a specific region in the left brain of a patient to a specific region of the patient's right brain. One might also wish to compare the activity level in a resting brain part to the same part's activity level when stimulated. The comparison of images by eye is inaccurate and imprecise, making automated methods desirable.
Therefore, from the above, it can be appreciated that an improved method and apparatus for image data analysis are desired.
SUMMARY OF THE INVENTION
In one embodiment of the method of the present invention, an input data file describing an object is generated. The input data file is segmented or divided into a number of sub-files, each representing an identified portion of the input data file. Next, each of the sub-files are compared with a reference file. The result of the computer step is interpreted using artificial intelligence techniques to form a conclusion or diagnosis. Finally, the conclusion is communicated to the user in graphical or textual format.
In another embodiment of the method of the present invention, the user is given the capability of formatting the input data file or interpreting the result of the comparing step. As a result, the present invention provides an apparatus and a method for analyzing and comparing any selected portion of a data file. The present invention further provides the capability of providing textual or graphical representations of the result of the analysis as well as diagnostic information.
REFERENCES:
patent: 4202968 (1980-05-01), Tamara et al.
patent: 4495181 (1985-01-01), Norman et al.
patent: 4524017 (1985-06-01), Inoue et al.
patent: 4703270 (1987-10-01), Hall et al.
patent: 4783826 (1988-11-01), Koso
patent: 4866983 (1989-09-01), Vinegar et al.
patent: 4899392 (1990-02-01), Merton
patent: 4991224 (1991-02-01), Takahashi
patent: 5000800 (1991-03-01), Sagawa
patent: 5003616 (1991-03-01), Orita et al.
patent: 5047930 (1991-09-01), Martens et al.
patent: 5048109 (1991-09-01), Bloomberg et al.
patent: 5056146 (1991-10-01), Nishide
patent: 5131053 (1992-07-01), Bernzott et al.
patent: 5133020 (1992-07-01), Giger et al.
patent: 5185809 (1993-02-01), Kennedy
patent: 5201011 (1993-04-01), Bloomberg et al.
patent: 5239591 (1993-08-01), Ranganath
patent: 5273040 (1993-12-01), Apicella
patent: 5319551 (1994-06-01), Sekiguchi
patent: 5320162 (1994-06-01), Paul et al.
patent: 5331550 (1994-07-01), Stafford et al.
patent: 5359513 (1994-10-01), Kano et al.
patent: 5410250 (1995-04-01), Brown
patent: 5421331 (1995-06-01), Devito
patent: 5425368 (1995-06-01), Brandt
patent: 5431161 (1995-07-01), Ryals
patent: 5435310 (1995-07-01), Sheehan
patent: 5442672 (1995-08-01), Bjorkholm
patent: 5490221 (1996-02-01), Ranstard et al.
Wahle, A. et al., “3D Reconstruction on Bi-plane Angiograms of Coronary Arteries in Pediatric Cardiology”, IEEE, 1992, pp. 19-22.
Magnetic Cybernetics, sales brochure entitled “Image-Pro PI US”published 1992.
Jandel Scientific, sales brochure entitled “MOCHA Image Analysis Software, published 1992.
Data Translation, Inc., sales brochure entitled “Global Lab Image, Version 2.0”, published 1992.
Automatics, seminar brochure entitled “A Seminar on Machine Vision & Image Analysis,” published 1992.
Shortliffe et al., “Knowledge Engineering for Medical Decision Making: A Review of Computer-Based Clinical Decision Aids,”Proceedings of the IEEE(1979) 67:1207-1224.
Heckerman et al., “Toward Normative Expert Systems: Part I-Pathfinder Project, ”Meth. Inform. Med.(1992) 31:90-105.
Li et al., “Knowledge-Based Classification and Tissue Labeling of MR Images of Human Brain,”IEEE Transactions on Medical Imaging(1993) 12:740-750.
Cimflex Teknowledge Corporation sales brochure (undated) “M.4: The Embeddable Expert System Solution”.
Media Cybernetics sales brochure (1993) “HALO Advanced Imaging Library 1.0”.
Kilday et al., “Classifying Mammographic Lesions Using Computerized Image Analysis,”IEEE Transactions on Medical Imaging(1993) 12:664-669.
Lipkin, “A Face by any Other Name,”Science News(1994) 145:216-220.
Vries et al., Chapter 35, “Computerized Three-Dimensional Stereotactic Atlases,”Modern Stereotactic Neurosurgery, L. D. Lunsford (ed.), 1988, pp. 441-459.
Wolberg et al., “Computer-Designed Expert Systems for Breast Cytology Diagnosis,”Analytical and Quantitative Cytology and Histology(1993) 15: 67-74.
Street, Toward Automated Cancer Diagnosis: An Interactive System for Cell Feature Extraction,Computer Sciences Tech. Report #1052, Univ. of Wisconsin-Madison, Oct. 1991.
Nakamori et al., “Effect of Heart-Size Parameters Computed from Digital Chest Radiographs on Dection of Cardiomegaly,”Investigative Radiology(1991) 26:546-550.
Winston,Artificial Intelligence, 3rdEd., Addison-Wesley Publishing company, 1992, pp. 10-11 and 119-177.
Katsuragawa et al., “Image Feature Analysis and Computer-Aided Diagnosis in Digital Radiography: Effect of Digital Parameters on the Accuracy of Computerized Analysis of Interstitial Disease in Digital Chest Radiographs,”Med. Phys. (1990) 17:72-78.
Hudson et al., “Cumputer-Assisted Differential Diagnosis and Management,”IEEE(1991) pp. 218-226.
Ferrer-Roca et al., “Morphometric, Densitometric and Flow Cytometric Criteria for the Automated Classification of Thyroid Lesions,”Analytical and Quantitative Cytology and Histology(1990) 12:48-55.
Bonadonna et al., “Visual Knowledge Processing in Computer-Assisted Radiology: A Consultation System,”Med. Inform. (1992) 17:19.
Ismail et al., “A Medical Pictorial Database System,”2ndInt. Conf. on automation, Robotics, & Computer Vision, Sep. 16-18, 1992, Nanyana Technol. Univ. 1992, pp. CV-17.7.1-17.7.5.
Grimm et al., “An Expert System for the Diagnosis of Thyroid Gland Diseases,”Proc., SHARE-Europue Spring Mtg. -Distributed Applications, Hamburg, Germany, Apr. 1-22, 1993, pp. 275-293.
Smith et al., “MURIM: Multi-Dimensional Reconstruction and Imaging in Medicine,”Advances in Medical informatics, IOS Press, Amsterdam, Netherlands, 1992, pp. 268-276.
Bella Matthew C.
Ritter Lang & Kaplan LLP
Schneider Medical Technologies, Inc.
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