講演抄録/キーワード |
講演名 |
2009-01-19 13:30
[招待講演]Computer-aided Diagnosis for 2D, 3D, and Whole Breast Ultrasound ○Ruey-Feng Chang(National Taiwan Univ.) MI2008-63 |
抄録 |
(和) |
The breast cancer is the most frequently cancer in women and it is the second rank for the death caused by cancer after cancer of lung. The earlier detection and improved treatment are effective to reduce deaths due to breast cancer. Breast ultrasound is a quite important complementary imaging modality with mammography to detect breast cancer early. In this talk, an automatic tumor detection system based on the fuzzy approach using the PC-based US system is proposed. In order to easily retrieve the US images for any regions of the breast, a clock-based storing system is proposed to store the scanned US images. Recently, the color elastographic breast images are used to diagnose the breast tumors, on which the blue region represents the harder tissues, while the green to red region represents the softer tissues. We propose an analysis method using several features for differentiating tumor malignancy of breast elastography. The malignant and benign tumors have different elasticity characteristic. Generally, the malignant tumor is harder, while the benign tumor is softer, so we make use of this characteristic to apply in our analysis method. Other than elastographic features, we also applied BI-RADS standard features to analyze the malignancy of the tumor. A computer-aided detection (CAD) system is also included to save the physicians。ヲ time for a huge volume of scanned US images. The multi-resolution technique is also applied in the CAD system for detecting tumors with different sizes. Recently, the automatic whole breast ultrasound has been developed to save the physician for screening the breast. Because a lot of images are obtained for a case, the physician still takes a lot of time to diagnosis. Hence, a computer-aided tumor detection system for the automatic whole breast ultrasound is also proposed to find suspicious regions of tumors for saving the diagnosis time. |
(英) |
The breast cancer is the most frequently cancer in women and it is the second rank for the death caused by cancer after cancer of lung. The earlier detection and improved treatment are effective to reduce deaths due to breast cancer. Breast ultrasound is a quite important complementary imaging modality with mammography to detect breast cancer early. In this talk, an automatic tumor detection system based on the fuzzy approach using the PC-based US system is proposed. In order to easily retrieve the US images for any regions of the breast, a clock-based storing system is proposed to store the scanned US images. Recently, the color elastographic breast images are used to diagnose the breast tumors, on which the blue region represents the harder tissues, while the green to red region represents the softer tissues. We propose an analysis method using several features for differentiating tumor malignancy of breast elastography. The malignant and benign tumors have different elasticity characteristic. Generally, the malignant tumor is harder, while the benign tumor is softer, so we make use of this characteristic to apply in our analysis method. Other than elastographic features, we also applied BI-RADS standard features to analyze the malignancy of the tumor. A computer-aided detection (CAD) system is also included to save the physicians。ヲ time for a huge volume of scanned US images. The multi-resolution technique is also applied in the CAD system for detecting tumors with different sizes. Recently, the automatic whole breast ultrasound has been developed to save the physician for screening the breast. Because a lot of images are obtained for a case, the physician still takes a lot of time to diagnosis. Hence, a computer-aided tumor detection system for the automatic whole breast ultrasound is also proposed to find suspicious regions of tumors for saving the diagnosis time. |
キーワード |
(和) |
Breast ultrasound / Automatic whole breast ultrasound / Computer-aided diagnosis / / / / / |
(英) |
Breast ultrasound / Automatic whole breast ultrasound / Computer-aided diagnosis / / / / / |
文献情報 |
信学技報, vol. 108, no. 385, MI2008-63, pp. 31-31, 2009年1月. |
資料番号 |
MI2008-63 |
発行日 |
2009-01-12 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
MI2008-63 |
研究会情報 |
研究会 |
MI |
開催期間 |
2009-01-19 - 2009-01-21 |
開催地(和) |
国立台湾大学(台北市) |
開催地(英) |
National Taiwan University |
テーマ(和) |
医用画像一般 |
テーマ(英) |
Medical Imaging |
講演論文情報の詳細 |
申込み研究会 |
MI |
会議コード |
2009-01-MI |
本文の言語 |
英語 |
タイトル(和) |
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サブタイトル(和) |
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タイトル(英) |
Computer-aided Diagnosis for 2D, 3D, and Whole Breast Ultrasound |
サブタイトル(英) |
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キーワード(1)(和/英) |
Breast ultrasound / Breast ultrasound |
キーワード(2)(和/英) |
Automatic whole breast ultrasound / Automatic whole breast ultrasound |
キーワード(3)(和/英) |
Computer-aided diagnosis / Computer-aided diagnosis |
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第1著者 氏名(和/英/ヨミ) |
Ruey-Feng Chang / Ruey-Feng Chang / |
第1著者 所属(和/英) |
National Taiwan University (略称: National Taiwan Univ.)
National Taiwan University (略称: National Taiwan Univ.) |
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講演者 |
第1著者 |
発表日時 |
2009-01-19 13:30:00 |
発表時間 |
15分 |
申込先研究会 |
MI |
資料番号 |
MI2008-63 |
巻番号(vol) |
vol.108 |
号番号(no) |
no.385 |
ページ範囲 |
p.31 |
ページ数 |
1 |
発行日 |
2009-01-12 (MI) |
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