Title :
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
fDate :
Aug. 30 2006-Sept. 3 2006
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260217
