Surgery – Diagnostic testing – Detecting nuclear – electromagnetic – or ultrasonic radiation
Reexamination Certificate
2004-11-22
2010-06-15
Casler, Brian (Department: 3737)
Surgery
Diagnostic testing
Detecting nuclear, electromagnetic, or ultrasonic radiation
C382S128000, C382S133000, C382S224000, C345S581000, C345S589000, C345S618000, C128S922000
Reexamination Certificate
active
07736313
ABSTRACT:
A method for determining a candidate lesion region within an ultrasound image. The method includes the steps of: accessing a digital ultrasound image of anatomical tissue; segmenting spatially contiguous pixels in the ultrasound image into a plurality of regions in accordance with substantially similar intensity values and spatial smoothness constraints; and selecting, from the plurality of regions, one or more candidate lesion regions having an intensity value lower than a pre-determined intensity value. In one arrangement, the one or more candidate lesion region is classified into at least one of the following classes: benign, malignant, or unknown.
REFERENCES:
patent: 5016173 (1991-05-01), Kenet et al.
patent: 5671294 (1997-09-01), Rogers et al.
patent: 5825909 (1998-10-01), Jang
patent: 5832103 (1998-11-01), Giger et al.
patent: 5984870 (1999-11-01), Giger et al.
patent: 6138045 (2000-10-01), Kupinski et al.
patent: 6185320 (2001-02-01), Bick et al.
patent: 6208749 (2001-03-01), Gutkowicz-Krusin et al.
patent: 6282305 (2001-08-01), Huo et al.
patent: 6317617 (2001-11-01), Gilhuijs et al.
patent: 6537211 (2003-03-01), Wang et al.
patent: 6574304 (2003-06-01), Hsieh et al.
patent: 6697502 (2004-02-01), Luo
patent: 6853318 (2005-02-01), Rabbani et al.
patent: 6855114 (2005-02-01), Drukker et al.
patent: 6901156 (2005-05-01), Giger et al.
patent: 6956975 (2005-10-01), Young
patent: 7035461 (2006-04-01), Luo et al.
patent: 7062085 (2006-06-01), Luo et al.
patent: 7123762 (2006-10-01), Giger et al.
patent: 7139437 (2006-11-01), Jones et al.
patent: 7171058 (2007-01-01), Luo
patent: 7221787 (2007-05-01), Luo et al.
patent: 7346209 (2008-03-01), Gokturk et al.
patent: 2003/0125621 (2003-07-01), Drukker et al.
patent: 2003/0161513 (2003-08-01), Drukker et al.
patent: 2004/0052328 (2004-03-01), Sabol et al.
patent: 2004/0228529 (2004-11-01), Jerebko et al.
patent: 2005/0010445 (2005-01-01), Krishnan et al.
patent: 2005/0027188 (2005-02-01), Metaxas et al.
patent: 2005/0105776 (2005-05-01), Luo et al.
patent: 2005/0123180 (2005-06-01), Luo et al.
patent: 2006/0018548 (2006-01-01), Chen et al.
patent: 2006/0050958 (2006-03-01), Okada et al.
patent: 2006/0098889 (2006-05-01), Luo et al.
patent: 2006/0110018 (2006-05-01), Chen et al.
patent: 2006/0110035 (2006-05-01), Luo et al.
patent: 2006/0110068 (2006-05-01), Luo et al.
patent: 2006/0122480 (2006-06-01), Luo et al.
patent: 2006/0228015 (2006-10-01), Brockway et al.
patent: 2006/0245629 (2006-11-01), Huo et al.
patent: 2006/0247525 (2006-11-01), Huo et al.
patent: 2007/0165924 (2007-07-01), Nicponski
patent: 1 398 721 (2004-03-01), None
J Luo, RT Gray, H-C Lee. Towards physics-based segmentation of photographic color images. Proceedings of the 1997 International Conference on Image Processing (ICIP '97), p. 58, 1997.
Jiebo Luo et al., “Towards Physics-based Segmentation of Photographic Color Images”, 1997, IEEE Proceedings, pp. 58-61.
Zhimin Huo et al., Computer-Aided Diagnosis: Analysis of Mammographic Parenchymal Patterns and Classification of Masses on Digitized Mammograms, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 20, No. 2, 1998, pp. 1017-1020.
S.G. Armato III et al., Computerized detection of lung nodules in computed tomography scans, Computer-Aided Diagnosis in Medical Imaging, pp. 119-123.
Hao Wei
Huo Zhimin
Luo Jiebo
Carestream Health Inc.
Casler Brian
Lauritzen Amanda
LandOfFree
Detecting and classifying lesions in ultrasound images does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Detecting and classifying lesions in ultrasound images, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Detecting and classifying lesions in ultrasound images will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4250943