1. Breast Density Analysis in 3-D Whole Breast Ultrasound Images
- Author
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Jeffery H. K. Wu, Ruey-Feng Chang, Dar-Ren Chen, Etsuo Takada, Jasjit S. Suri, Woo Kyung Moon, Yi-Fa Wang, Nariya Cho, and Kuang-Che Chang-Chien
- Subjects
Dense connective tissue ,medicine.medical_specialty ,business.industry ,Ultrasound ,Reproducibility of Results ,Cancer ,Breast Neoplasms ,Biomedical equipment ,Image Enhancement ,medicine.disease ,Sensitivity and Specificity ,Imaging, Three-Dimensional ,Breast cancer ,Image Interpretation, Computer-Assisted ,medicine ,Humans ,Female ,Breast ,Ultrasonography, Mammary ,Radiology ,Breast density ,Whole breast ,business ,Algorithms ,Densitometry - 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.
- Published
- 2006
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