Analysis of Tumor''s Stiffness and Mobility Using Hybrid Tactile Ultrasound Images for Breast Cancer Diagnosis

碩士 === 國立臺北科技大學 === 自動化科技研究所 === 95 === Breast cancer is one of deadly diseases of cancers with highest occurrence rate for women in Taiwan. In this study, we analyze the mobility and stiffness of applying external force for model of breast tissue in ultrasound image sequence. We used finite element...

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Bibliographic Details
Main Authors:	Jing-Wei Lin, 林靖瑋
Other Authors:	顏炳郎
Format:	Others
Language:	zh-TW
Published:	2007
Online Access:	http://ndltd.ncl.edu.tw/handle/uzcq67

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spelling	ndltd-TW-095TIT051460292019-06-27T05:10:23Z http://ndltd.ncl.edu.tw/handle/uzcq67 Analysis of Tumor''s Stiffness and Mobility Using Hybrid Tactile Ultrasound Images for Breast Cancer Diagnosis 結合影像與力學模型分析乳房腫瘤組織硬度及移動性 Jing-Wei Lin 林靖瑋碩士國立臺北科技大學自動化科技研究所 95 Breast cancer is one of deadly diseases of cancers with highest occurrence rate for women in Taiwan. In this study, we analyze the mobility and stiffness of applying external force for model of breast tissue in ultrasound image sequence. We used finite element method to build a model to simulate breast tissue. The image analysis is applied for the continuous 2D US images which are obtained during the probe being pressed .And we got the force and the information of different images, finding out the feature of the tissue. Then we used mobility and force feature for input of ANN and data sets for validation. The result showed that stiffness predictability in breast tumor can be achieved well. 顏炳郎 2007 學位論文 ; thesis 54 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 國立臺北科技大學 === 自動化科技研究所 === 95 === Breast cancer is one of deadly diseases of cancers with highest occurrence rate for women in Taiwan. In this study, we analyze the mobility and stiffness of applying external force for model of breast tissue in ultrasound image sequence. We used finite element method to build a model to simulate breast tissue. The image analysis is applied for the continuous 2D US images which are obtained during the probe being pressed .And we got the force and the information of different images, finding out the feature of the tissue. Then we used mobility and force feature for input of ANN and data sets for validation. The result showed that stiffness predictability in breast tumor can be achieved well.
author2	顏炳郎
author_facet	顏炳郎 Jing-Wei Lin 林靖瑋
author	Jing-Wei Lin 林靖瑋
spellingShingle	Jing-Wei Lin 林靖瑋 Analysis of Tumor''s Stiffness and Mobility Using Hybrid Tactile Ultrasound Images for Breast Cancer Diagnosis
author_sort	Jing-Wei Lin
title	Analysis of Tumor''s Stiffness and Mobility Using Hybrid Tactile Ultrasound Images for Breast Cancer Diagnosis
title_short	Analysis of Tumor''s Stiffness and Mobility Using Hybrid Tactile Ultrasound Images for Breast Cancer Diagnosis
title_full	Analysis of Tumor''s Stiffness and Mobility Using Hybrid Tactile Ultrasound Images for Breast Cancer Diagnosis
title_fullStr	Analysis of Tumor''s Stiffness and Mobility Using Hybrid Tactile Ultrasound Images for Breast Cancer Diagnosis
title_full_unstemmed	Analysis of Tumor''s Stiffness and Mobility Using Hybrid Tactile Ultrasound Images for Breast Cancer Diagnosis
title_sort	analysis of tumor''s stiffness and mobility using hybrid tactile ultrasound images for breast cancer diagnosis
publishDate	2007
url	http://ndltd.ncl.edu.tw/handle/uzcq67
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Analysis of Tumor''s Stiffness and Mobility Using Hybrid Tactile Ultrasound Images for Breast Cancer Diagnosis

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