Automated region of interest detection of spiculated masses on digital mammograms

Rana Jahanbin; Mehul P. Sampat; Gautam S. Muralidhar; Gary J. Whitman; Alan C. Bovik; Mia K. Markey

doi:10.1109/SSIAI.2008.4512302

Automated region of interest detection of spiculated masses on digital mammograms

Rana Jahanbin, Mehul P. Sampat, Gautam S. Muralidhar, Gary J. Whitman, Alan C. Bovik, Mia K. Markey

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

We have developed a novel technique to automatically identify a region of interest (ROI) surrounding a spiculated lesion on a mammogram. Our proposed approach for determining the size of the ROI depends on the response of a set of unique Spiculation Filters (SF). The design of these filters is based on manually annotated physical characteristics of spicules. The accuracy of our algorithm is measured in terms of the percentage of spicule pixels located inside the identified ROI. Spicules on each image were identified by an experienced radiologist to serve as a reference to determine the percentage of spicules located in the ROI. On average, 94 percent of spicule pixels were located inside the ROI identified by our algorithm.

Original language	English (US)
Title of host publication	2008 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2008 - Proceedings
Pages	129-132
Number of pages	4
DOIs	https://doi.org/10.1109/SSIAI.2008.4512302
State	Published - 2008
Event	2008 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2008 - Santa Fe, NM, United States Duration: Mar 24 2008 → Mar 26 2008

Publication series

Name	Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Other

Other	2008 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2008
Country/Territory	United States
City	Santa Fe, NM
Period	3/24/08 → 3/26/08

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Computer Science Applications

Access to Document

10.1109/SSIAI.2008.4512302

Cite this

Jahanbin, R., Sampat, M. P., Muralidhar, G. S., Whitman, G. J., Bovik, A. C., & Markey, M. K. (2008). Automated region of interest detection of spiculated masses on digital mammograms. In 2008 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2008 - Proceedings (pp. 129-132). Article 4512302 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation). https://doi.org/10.1109/SSIAI.2008.4512302

Automated region of interest detection of spiculated masses on digital mammograms. / Jahanbin, Rana; Sampat, Mehul P.; Muralidhar, Gautam S. et al.
2008 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2008 - Proceedings. 2008. p. 129-132 4512302 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jahanbin, R, Sampat, MP, Muralidhar, GS, Whitman, GJ, Bovik, AC & Markey, MK 2008, Automated region of interest detection of spiculated masses on digital mammograms. in 2008 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2008 - Proceedings., 4512302, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, pp. 129-132, 2008 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2008, Santa Fe, NM, United States, 3/24/08. https://doi.org/10.1109/SSIAI.2008.4512302

Jahanbin R, Sampat MP, Muralidhar GS, Whitman GJ, Bovik AC, Markey MK. Automated region of interest detection of spiculated masses on digital mammograms. In 2008 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2008 - Proceedings. 2008. p. 129-132. 4512302. (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation). doi: 10.1109/SSIAI.2008.4512302

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Automated region of interest detection of spiculated masses on digital mammograms

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