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Computer-aided diagnosis of lesions on multi-modality images of the breast

Publication ,  Journal Article
Giger, ML; Huo, Z; Horsch, K; Hendrick, ER; Venta, LA; Vyborny, CJ; Bonta, IR; Lan, L
Published in: Proceedings of SPIE - The International Society for Optical Engineering
January 1, 2001

We have developed computerized methods for the analysis of lesions that combine results from different imaging modalities, in this case digitized mammograms and sonograms of the breast, for distinguishing between malignant and benign lesions. The computerized classification method - applied here to mass lesions seen on both digitized mammograms and sonograms, includes: (1) automatic lesion extraction, (2) automated feature extraction, and (3) automatic classification. The results for both modalities are then merged into an estimate of the likelihood of malignancy. For the mammograms, computer-extracted lesion features include degree of spiculation, margin sharpness, lesion density, and lesion texture. For the ultrasound images, lesion features include margin definition, texture, shape, and posterior acoustic attenuation. Malignant and benign lesions are better distinguished when features from both mammograms and ultrasound images are combined.

Duke Scholars

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

ISSN

0277-786X

Publication Date

January 1, 2001

Volume

4322

Issue

2

Start / End Page

656 / 660
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Giger, M. L., Huo, Z., Horsch, K., Hendrick, E. R., Venta, L. A., Vyborny, C. J., … Lan, L. (2001). Computer-aided diagnosis of lesions on multi-modality images of the breast. Proceedings of SPIE - The International Society for Optical Engineering, 4322(2), 656–660. https://doi.org/10.1117/12.431141
Giger, M. L., Z. Huo, K. Horsch, E. R. Hendrick, L. A. Venta, C. J. Vyborny, I. R. Bonta, and L. Lan. “Computer-aided diagnosis of lesions on multi-modality images of the breast.” Proceedings of SPIE - The International Society for Optical Engineering 4322, no. 2 (January 1, 2001): 656–60. https://doi.org/10.1117/12.431141.
Giger ML, Huo Z, Horsch K, Hendrick ER, Venta LA, Vyborny CJ, et al. Computer-aided diagnosis of lesions on multi-modality images of the breast. Proceedings of SPIE - The International Society for Optical Engineering. 2001 Jan 1;4322(2):656–60.
Giger, M. L., et al. “Computer-aided diagnosis of lesions on multi-modality images of the breast.” Proceedings of SPIE - The International Society for Optical Engineering, vol. 4322, no. 2, Jan. 2001, pp. 656–60. Scopus, doi:10.1117/12.431141.
Giger ML, Huo Z, Horsch K, Hendrick ER, Venta LA, Vyborny CJ, Bonta IR, Lan L. Computer-aided diagnosis of lesions on multi-modality images of the breast. Proceedings of SPIE - The International Society for Optical Engineering. 2001 Jan 1;4322(2):656–660.

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

ISSN

0277-786X

Publication Date

January 1, 2001

Volume

4322

Issue

2

Start / End Page

656 / 660