Development of whole breast ultrasound system with CAD function(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
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概要
- 論文の詳細を見る
We have developed a whole breast ultrasound (US) system for breast cancer screening. The system consisted of a whole breast US scanner and a viewing system with computerized mass detection and classification functions. A 7.5MHz linear probe on the scanner scanned a full-field breast in three sweeps automatically. The viewing system generated a whole breast US data by 'stitching' corresponding images in the three sweeps together. Each mass was automatically detected by used of two image features, i.e., edge directions and the density difference between slice images, and it was classified as a malignant or benign mass by linear discriminant analysis using six features based on the geometric and echo properties of the breast masses. Once the image was constructed as a volumetric data, the ordinary three dimensional (3D) display techniques were available for the breast US data. In addition, radiologist could compare left and right breast US images and compare of US images and other modality images. The performance of mass detection scheme was 80.6% (29/36) with 3.8FPs marks per breast data. The classification method achieved test area under the ROC curve value of 0.94. The performance of breast cancer screening with ultrasonography might be improved by use of our proposed whole breast US system.
- 2009-01-12
著者
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福岡 大輔
岐阜工業高等専門学校
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福岡 大輔
岐阜大学教育学部技術教育講座
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Fujita Hiroshi
Department of Transfusion Medicine, Tokyo Metropolitan Bokutoh Hospital
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福岡 大輔
岐阜大学教育学部技術教育学講座
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ENDO Tokiko
Department of Radiology, National Nagoya Hospital
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Hara Takeshi
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
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Hara Takeshi
Graduate School Of Medicine Gifu University
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Fujita Hiroshi
Department Of Cardiology Kyoto Second Red Cross Hospital
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Fujita Hiroshi
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
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IKEDO Yuji
Department of Intelligent Image Information, Graduate School of Medicine, Gifu University
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FUKUOKA Daisuke
Technology Education, Faculty of Education, Gifu University
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LEE Gobert
Department of Intelligent Image Information, Graduate School of Medicine, Gifu University
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TAKADA Etsuo
Center of Medical Ultrasonics, Dokkyo Medical University School of Medicine
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MORITA Takako
Department of Mammary Gland, Chunichi Hospital
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Endo Tokiko
Department Of Radiology National Hospital Organization Nagoya Medical Center
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Endo Tokiko
Department Of Advanced Diagnosis Clinical Research Center National Hospital Organization Nagoya Medi
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Fujita H
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
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Fujita Hiroshi
Dept. Of Intelligent Image Information Graduate School Of Medicine Gifu University
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Hara T
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
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Takada Etsuo
Center Of Medical Ultrasonics Dokkyo Medical University School Of Medicine
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Lee Gobert
Department Of Intelligent Image Information Graduate School Of Medicine Gifu University
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Fukuoka Daisuke
Technology Education Faculty Of Education Gifu University
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Ikedo Yuji
Department Of Intelligent Image Information Graduate School Of Medicine Gifu University
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Fujita Hiroshi
Graduate School Of Medicine Gifu University
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Morita Takako
Department Of Mammary Gland Chunichi Hospital
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Hara Takeshi
Department Of Animal Resource Sciences Graduate School Of Agricultural And Life Sciences The Univers
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Fujita Hiroshi
Department Of Applied Physics Faculty Of Engineering University Of Tokyo
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Takada Etsuo
Center Of Medical Ultrasonics Dokkyo Medical University
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