Breast Density Analysis in 3-D Whole Breast Ultrasound Images

Author

Chang, Ruey-Feng ; Chang-Chien, Kuang-Che ; Takada, Etsuo ; Suri, Jasjit S. ; Moon, Woo Kyung ; Wu, Jeffery H K ; Cho, Nariya ; Wang, Yi-Fa ; Chen, Dar-Ren

Author_Institution

Dept. of Comput. & Inf. Technol., Nat. Chung Chen Univ., Chiayi

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

2795

Lastpage

2798

Abstract

The breast density information is one of important factors for estimating the risk in breast cancer detection and early prevention. In this paper, we present two methods, including threshold-based and proportion-based, to automatically analyze the breast density using whole breast ultrasound. The two algorithms are experimented with 32 cases which are scanned from 32 patients using the US machine SSD-5500 with a recent developed scanner ASU-1004 (Aloka, Japan). The experimental results are graded from 4 (extremely dense tissue) to 1 (almost entirely fat), and respectively compared with the majority grades of three radiologists. The accuracy of the threshold-based and proportion-based strategies is 88% and 84% respectively

Keywords

biomedical equipment; biomedical ultrasonics; cancer; gynaecology; tumours; 3-D whole breast ultrasound images; US machine SSD-5500; breast cancer detection; proportion-based breast density analysis; risk estimation; scanner ASU-1004; threshold-based breast density analysis; Biomedical imaging; Breast cancer; Density measurement; Hospitals; Image analysis; Mammography; Medical diagnostic imaging; Radiology; USA Councils; Ultrasonic imaging; Fatty; Grandular; Performance; Proportionate; ROI; Threshold; breast density; whole breast ultrasound;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.260217

Filename

4462376