Image analysis – Applications – Biomedical applications
Reexamination Certificate
2005-07-28
2009-10-06
Dang, Duy M (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S128000
Reexamination Certificate
active
07599542
ABSTRACT:
The present invention provides a method, apparatus, and computer instructions for improved detection and display of abnormal regions in mammals such as tumors, lesions, and other abnormalities (collectively referred to as abnormalities). In a preferred embodiment, a system and process is disclosed for classification of image points in the spatial dimensions and subsequent segmentation and classification of regions using morphological descriptors that operate in up to three spatial dimensions. Additionally, mapping of a set of classification images to color and opacity parameters is provided for display purposes. After image data is captured and readied for processing, each spatial point in the image is evaluated against predetermined intensity-time parameters. The resulting intensity-time confidence image is then processed to identify distinct regions within the image, and evaluate morphological characteristics of the identified regions using predetermined morphology templates/parameters. A confidence value is determined for each region, and this value is applied to the intensity-time value for each spatial point. The resulting output is a confidence image for the patient's region of interest, that can be used to detect different abnormalities, and display them in a conveniently manipulatable manner so a medical service provider can better understand the abnormality and take more directed actions (e.g., refined procedures) to remedy it as appropriate. The computational system disclosed can thoroughly and automatically detect these temporal patterns, as well as morphological patterns, and not only marks them for visual inspection with a confidence level, but also identifies the type or kind of cancer with an assigned probability, giving accurate indications of the extent of the cancer.
REFERENCES:
patent: 5003979 (1991-04-01), Merickel
patent: 5235510 (1993-08-01), Yamada et al.
patent: 5273040 (1993-12-01), Apicella
patent: 6112112 (2000-08-01), Gilhuijs
patent: 6430430 (2002-08-01), Gosche
patent: 6438403 (2002-08-01), Cline
patent: 6553327 (2003-04-01), Degani
patent: 6591004 (2003-07-01), VanEssen
patent: 6611778 (2003-08-01), Degani
patent: 7088850 (2006-08-01), Wei et al.
patent: 7245748 (2007-07-01), Degani et al.
patent: 7317821 (2008-01-01), Chen et al.
patent: 2002/0082495 (2002-06-01), Biswal
patent: 2004/0081340 (2004-04-01), Hashimoto
patent: 2004/0184644 (2004-09-01), Leichter et al.
patent: 2005/0010097 (2005-01-01), Cline
patent: 2005/0027188 (2005-02-01), Metaxas
patent: 2005/0096530 (2005-05-01), Dal et al.
patent: 2005/0113651 (2005-05-01), Wood et al.
patent: 2007/0036402 (2007-02-01), Cahill et al.
patent: 2007/0165920 (2007-07-01), Gering et al.
Subramanian Kalpathi R; Brockway John P; Carruthers William B, “Interactive detection and visualization of breast lesions from dynamic contrast enhanced MRI volumes” computerized medical imaging and graphics—the official journal of the Computerized Medical Imaging Society (United States) Dec. 2004, 28, (8), p. 435-44.
Brockway John Philip
Carruthers, III William Benjamin
Dang Duy M
Holland & Knight LLP
Knight John P.
LandOfFree
System and method for detection and display of diseases and... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with System and method for detection and display of diseases and..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for detection and display of diseases and... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4140067