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Development of a fully automatic scheme for detection of masses in whole breast ultrasound images.

Development of a fully automatic scheme for detection of masses in whole breast ultrasound images. Research Abstract Details 

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  • Development of a fully automatic scheme for detection of masses in whole breast ultrasound images. Abstract Text:

    yuji ikedoYuji Ikedo,daisuke fukuokaDaisuke Fukuoka,takeshi haraTakeshi Hara,hiroshi fujitaHiroshi Fujita,etsuo takadaEtsuo Takada,tokiko endoTokiko Endo,takako moritaTakako Morita,yuji ikedoYuji Ikedo,daisuke fukuokaDaisuke Fukuoka,takeshi haraTakeshi Hara,hiroshi fujitaHiroshi Fujita,etsuo takadaEtsuo Takada,tokiko endoTokiko Endo,takako moritaTakako Morita,

    Ultrasonography has been used for breast cancer screening in Japan. Screening using a conventional hand-held probe is operator dependent and thus it is possible that some areas of the breast may not be scanned. To overcome such problems, a mechanical whole breast ultrasound (US) scanner has been proposed and developed for screening purposes. However, another issue is that radiologists might tire while interpreting all images in a large-volume screening; this increases the likelihood that masses may remain undetected. Therefore, the aim of this study is to develop a fully automatic scheme for the detection of masses in whole breast US images in order to assist the interpretations of radiologists and potentially improve the screening accuracy. The authors database comprised 109 whole breast US imagoes, which include 36 masses (16 malignant masses, 5 fibroadenomas, and 15 cysts). A whole breast US image with 84 slice images (interval between two slice images: 2 mm) was obtained by the ASU-1004 US scanner (ALOKA Co., Ltd., Japan). The feature based on the edge directions in each slice and a method for subtracting between the slice images were used for the detection of masses in the authors proposed scheme. The Canny edge detector was applied to detect edges in US images; these edges were classified as near-vertical edges or near-horizontal edges using a morphological method. The positions of mass candidates were located using the near-vertical edges as a cue. Then, the located positions were segmented by the watershed algorithm and mass candidate regions were detected using the segmented regions and the low-density regions extracted by the slice subtraction method. For the removal of false positives (FPs), rule-based schemes and a quadratic discriminant analysis were applied for the distribution between masses and FPs. As a result, the sensitivity of the authors scheme for the detection of masses was 80.6% (29/36) with 3.8 FPs per whole breast image. The authors scheme for a computer-aided detection may be useful in improving the screening performance and efficiency.

    Development of a fully automatic scheme for detection of masses in whole breast ultrasound images. Publishing Authors By Initials

    y ikedoY Ikedo,d fukuokaD Fukuoka,t haraT Hara,h fujitaH Fujita,e takadaE Takada,t endoT Endo,t moritaT Morita,y ikedoY Ikedo,d fukuokaD Fukuoka,t haraT Hara,h fujitaH Fujita,e takadaE Takada,t endoT Endo,t moritaT Morita,

    For similar abstracts research abstracts see: abstracts research

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    Development of a fully automatic scheme for detection of masses in whole breast ultrasound images. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: Medical physics

    VOLUME: 34

    Page Numbers: 4378-88

    Journal Abbreviation:

    ISSN: 0094-2405

    DAY: 12

    MONTH: Nov

    YEAR: 2007

    Development of a fully automatic scheme for detection of masses in whole breast ultrasound images. Information

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    LANGUAGE: eng

    NlmUniqueID: 425746

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    Grant and Affiliation Information for Development of a fully automatic scheme for detection of masses in whole breast ultrasound images.

    AFFILIATION: Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan. ikedo@fjt.info.gifu-u.ac.jp

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Med Phys

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