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Feature Point Detection for Non-rigid Registration of Digital Breast Tomosynthesis Images

机译：数字乳房断层合成图像非刚性配准的特征点检测

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We present an automatic approach to feature point detection that is well-suited to the non-rigid registration of digital breast to-mosynthesis images. The approach combines the scale saliency and the continuous intrinsic dimensionality of image structures in order to detect key feature points along the breast boundary and within the breast. These feature points can be used as the control points for polyaffine transformation regularisation. Experimental results show that non-rigid registration driven by such feature points yields good spatial alignment.

机译：我们提出了一种自动方法来进行特征点检测，非常适合数字化乳房到合成图像的非刚性配准。该方法结合了比例尺显着性和图像结构的连续固有尺寸，以检测沿乳房边界和乳房内的关键特征点。这些特征点可用作多仿射变换正则化的控制点。实验结果表明，由这些特征点驱动的非刚性配准可产生良好的空间对齐。

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来源
《Digital mammography》|2010年|p.296-303|共8页
会议地点 Girona(ES);Girona(ES)
作者
Weiwei Zhang; Sir Michael Brady;
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作者单位

Wolfson Medical Vision Lab, Department of Engineering Science University of Oxford, Parks Road, Oxford, 0X1 3PJ, UK;

Wolfson Medical Vision Lab, Department of Engineering Science University of Oxford, Parks Road, Oxford, 0X1 3PJ, UK;

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原文格式 PDF
正文语种 eng
中图分类生物医学工程;
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2. Two-view digital breast tomosynthesis screening with synthetically reconstructed projection images: Comparison with digital breast tomosynthesis with full-field digital mammographic images [J] . SkaaneP., BandosA.I., EbenE.B., Radiology . 2014,第3期

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3. Digital breast tomosynthesis and contrast‐enhanced dual‐energy digital mammography alone and in combination compared to 2D digital synthetized mammography and MR imaging in breast cancer detection and classification [J] . Petrillo Antonella, Fusco Roberta, Vallone Paolo, The breast journal . 2020,第5期

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4. Feature Point Detection for Non-rigid Registration of Digital Breast Tomosynthesis Images [C] . Weiwei Zhang, Sir Michael Brady International Workshop on Digital Mammography . 2010

机译：非刚性注册数字乳房断层合成图像的特征点检测
5. Mutual information based non-rigid image registration using adaptive grid generation: GPU implementation and application to breast MRI. [D] . Chu, Mei Yi. 2008

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6. Imaging features of breast cancers on digital breast tomosynthesis according to molecular subtype: association with breast cancer detection [O] . Su Hyun Lee, Jung Min Chang, Sung Ui Shin, 2017

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Feature Point Detection for Non-rigid Registration of Digital Breast Tomosynthesis Images

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