Presentation 2011-01-20
Development of an automated mass detection technique based on 3D features in whole-breast ultrasound images
Fukutaro ISHIHARA, Daisuke FUKUOKA, Chisako MURAMATSU, Takeshi HARA, Etsuo TAKADA, Tokiko ENDO, Takako MORITA, Hiroshi FUJITA,
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Abstract(in English) In breast cancer screening, a large amount of data is acquired from many patients. Therefore radiologists may overlook lesions under the reading overload. This paper proposes an automated mass detection technique to reduce the reading overload in whole-breast ultrasound images. First, we extract breast regions. Second, because masses tend to have lower density than mammary glands, we calculate pixel values relative to the neighboring pixels, and extract candidate mass regions. Finally, we extract features from candidate mass regions and remove false positives. The proposed method was applied to 59 clinical cases, and achieved 78.0% of sensitivity.
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Keyword(in English) whole-breast ultrasound Images / Mass detection / Computer-aided diagnosis
Paper # MI2010-97
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Committee MI
Conference Date 2011/1/12(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Development of an automated mass detection technique based on 3D features in whole-breast ultrasound images
Sub Title (in English)
Keyword(1) whole-breast ultrasound Images
Keyword(2) Mass detection
Keyword(3) Computer-aided diagnosis
1st Author's Name Fukutaro ISHIHARA
1st Author's Affiliation Dept. of Intelligent Image Information, Graduate School of Medicine, Gifu-University()
2nd Author's Name Daisuke FUKUOKA
2nd Author's Affiliation Technology Education, Faculty of Education, Gifu University
3rd Author's Name Chisako MURAMATSU
3rd Author's Affiliation Dept. of Intelligent Image Information, Graduate School of Medicine, Gifu-University
4th Author's Name Takeshi HARA
4th Author's Affiliation Dept. of Intelligent Image Information, Graduate School of Medicine, Gifu-University
5th Author's Name Etsuo TAKADA
5th Author's Affiliation Center of Medical Ultrasonics, Dokkyo Medical University
6th Author's Name Tokiko ENDO
6th Author's Affiliation Dept. of Radiology, National Hospital Organization Nagoya Medical Center
7th Author's Name Takako MORITA
7th Author's Affiliation Dept. of Marmmary Gland, Chunichi Hospital
8th Author's Name Hiroshi FUJITA
8th Author's Affiliation Dept. of Intelligent Image Information, Graduate School of Medicine, Gifu-University
Date 2011-01-20
Paper # MI2010-97
Volume (vol) vol.110
Number (no) 364
Page pp.pp.-
#Pages 5
Date of Issue