Literature DB >> 17945741

Breast density analysis in 3-D whole breast ultrasound images.

Ruey-Feng Chang1, Kuang-Che Chang-Chien, Etsuo Takada, Jasjit S Suri, Woo Kyung Moon, Jeffery H K Wu, Nariya Cho, Yi-Fa Wang, Dar-Ren Chen.   

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.

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Year:  2006        PMID: 17945741     DOI: 10.1109/IEMBS.2006.260217

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Automated analysis of breast parenchymal patterns in whole breast ultrasound images: preliminary experience.

Authors:  Yuji Ikedo; Takako Morita; Daisuke Fukuoka; Takeshi Hara; Gobert Lee; Hiroshi Fujita; Etsuo Takada; Tokiko Endo
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-03-14       Impact factor: 2.924

2.  Automated 3D ultrasound image segmentation to aid breast cancer image interpretation.

Authors:  Peng Gu; Won-Mean Lee; Marilyn A Roubidoux; Jie Yuan; Xueding Wang; Paul L Carson
Journal:  Ultrasonics       Date:  2015-10-31       Impact factor: 2.890

  2 in total

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