Image analysis – Applications – Biomedical applications
Patent
1996-07-10
1998-09-29
Mancuso, Joseph
Image analysis
Applications
Biomedical applications
378 37, 382131, 382194, G06K 900, A61B 604
Patent
active
058155910
ABSTRACT:
A method and apparatus for the fast detection of spiculated lesions in a digital mammogram, the method for use in a computer aided diagnosis system for assisting a radiologist in identifying and recognizing the spiculations among a multiplicity of lines corresponding to standard fibrous breast tissue. A line and direction image is created from a digital mammogram, and a region of potential intersection for substantially every pixel in the digital mammogram image is determined. The region of potential intersection for each pixel is a predetermined pattern, such as a high aspect ratio rectangle or trapezoid, positioned around the pixel and rotated in a direction corresponding to direction information for that pixel. The regions of potential intersection are accumulated among the pixels to produce a cumulative array, and information in the cumulative array is processed for identifying spiculations in the digital mammogram.
REFERENCES:
patent: 4315318 (1982-02-01), Kato et al.
patent: 4317179 (1982-02-01), Kato et al.
patent: 4346409 (1982-08-01), Ishida et al.
patent: 4387428 (1983-06-01), Ishida et al.
patent: 4794531 (1988-12-01), Morishita et al.
patent: 4839807 (1989-06-01), Doi et al.
patent: 4841555 (1989-06-01), Doi et al.
patent: 4851984 (1989-07-01), Doi et al.
patent: 4856528 (1989-08-01), Yang et al.
patent: 4875165 (1989-10-01), Fencil et al.
patent: 4907156 (1990-03-01), Doi et al.
patent: 4918534 (1990-04-01), Lam et al.
patent: 4998270 (1991-03-01), Scheid et al.
patent: 4999497 (1991-03-01), Funahashi et al.
patent: 5003979 (1991-04-01), Merickel et al.
patent: 5055682 (1991-10-01), Takeo
patent: 5072384 (1991-12-01), Doi et al.
patent: 5081580 (1992-01-01), Takeo
patent: 5123054 (1992-06-01), Hara et al.
patent: 5133020 (1992-07-01), Giger et al.
patent: 5142557 (1992-08-01), Toker et al.
patent: 5144687 (1992-09-01), Honda
patent: 5150292 (1992-09-01), Hoffmann et al.
patent: 5172418 (1992-12-01), Ito et al.
patent: 5172419 (1992-12-01), Manian
patent: 5198669 (1993-03-01), Namiki et al.
patent: 5212637 (1993-05-01), Saxena
patent: 5224036 (1993-06-01), Ito et al.
patent: 5224177 (1993-06-01), Doi et al.
patent: 5235510 (1993-08-01), Yamada et al.
patent: 5241578 (1993-08-01), MacMahon
patent: 5245539 (1993-09-01), Romeas et al.
patent: 5260871 (1993-11-01), Goldberg
patent: 5289374 (1994-02-01), Doi et al.
patent: 5297036 (1994-03-01), Grimaud
patent: 5297550 (1994-03-01), Margosian
patent: 5319549 (1994-06-01), Katsuragawa et al.
patent: 5331550 (1994-07-01), Stafford et al.
patent: 5343390 (1994-08-01), Doi et al.
patent: 5347563 (1994-09-01), Heidsieck
patent: 5347594 (1994-09-01), Grimaud
patent: 5359513 (1994-10-01), Kano et al.
patent: 5384862 (1995-01-01), Echerer et al.
patent: 5398684 (1995-03-01), Hardy
patent: 5402338 (1995-03-01), Ito
patent: 5412763 (1995-05-01), Knoplioch et al.
patent: 5421330 (1995-06-01), Thirion et al.
patent: 5425113 (1995-06-01), Ito
patent: 5426582 (1995-06-01), Bossaert et al.
patent: 5430810 (1995-07-01), Saeki
patent: 5452367 (1995-09-01), Bick et al.
patent: 5463548 (1995-10-01), Asada et al.
patent: 5465718 (1995-11-01), Hochman et al.
patent: 5467404 (1995-11-01), Vuylsteke et al.
patent: 5491627 (1996-02-01), Zhang et al.
patent: 5506913 (1996-04-01), Ibison et al.
patent: 5509084 (1996-04-01), Tanaka
patent: 5515450 (1996-05-01), Takeo et al.
patent: 5526394 (1996-06-01), Siczek et al.
patent: 5537485 (1996-07-01), Nishikawa et al.
patent: 5544650 (1996-08-01), Boon et al.
patent: 5572565 (1996-11-01), Abdel-Mottaleh
patent: 5574799 (1996-11-01), Bankman et al.
patent: 5579360 (1996-11-01), Abdel-Mottaleh
patent: 5598481 (1997-01-01), Nishikawa et al.
patent: 5627907 (1997-05-01), Gur et al.
patent: 5657362 (1997-08-01), Gier et al.
Zhang et al., 1996, "An Improved Shift-Invariant Artificial Neural Network for Computerized Detection of Clustered Microcalcifications in Digital Mammograms," Med. Phys. 23:595-601.
Zhang et al., 1994, "Computerized Detection of Clustered Microcalcifications in Digital Mammograms Using a Shift-Invariant Artificial Neural Network," Med. Phys. 21:517-524.
Roehrig Jimmy R.
Romsdahl Harlan M.
Zhang Wei
Mancuso Joseph
Patel Jayanti K.
R2 Technology, Inc.
LandOfFree
Method and apparatus for fast detection of spiculated lesions in 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 and apparatus for fast detection of spiculated lesions in, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and apparatus for fast detection of spiculated lesions in will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-693966