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Development of a Peripheral Thickness Estimation Metho for Volumetric Breast Density Measurements in Mammography Using a 3D Finite Element Breast Model

机译：使用3D有限元乳房模型在乳腺摄影中测量乳房体积密度的外围厚度估算方法的开发

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A method was developed to determine the area in a mammogram where the breast is not in contact with the compression paddle (the periphery), and to predict the breast thickness in that peripheral region. The periphery is determined by evaluating the variation of the signal intensity along radial lines, and the peripheral thickness is modeled assuming the breast has a semi-circular shape. The method was tested on 26 simulated mammograms for which the volumetric information was available. The mammograms were obtained using CT data that were deformed to simulate mammographic compression and then projected using a physical model. The method predicted the thickness in the periphery to within 3.3 mm of the actual value and the volumetric breast density within 4.3 percentage points. The method was also tested on 209 digital mammograms, and on average it was estimated that thickness errors occurred on 9% of the breast image, and the average absolute thickness error on those points was estimated to be approximately 2.0 mm in the periphery and central region of the breast but as large as 10.5 mm in the extreme periphery where the thickness is small.

机译：开发了一种方法来确定乳房X线照片中乳房未与压迫板接触的区域（外围），并预测该外围区域的乳房厚度。通过评估信号强度沿径向线的变化来确定外围，并假设乳房具有半圆形形状来模拟外围厚度。该方法在26个模拟乳房X线照片上进行了测试，这些照片具有体积信息。使用CT数据获取乳房X线照片，将其变形以模拟乳房X线照片压缩，然后使用物理模型进行投影。该方法预测外围厚度在实际值的3.3毫米以内，乳房体积密度在4.3个百分点以内。还对该方法进行了209次数字乳房X线照片测试，平均估计在9％的乳房图像上出现厚度误差，并且在这些点的平均绝对厚度误差在外围和中央区域估计约为2.0 mm的厚度，但在厚度很小的极端边缘处最大为10.5毫米。

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来源
《Digital mammography》|2010年|p.467-473|共7页
会议地点 Girona(ES);Girona(ES)
作者
Olivier Alonzo-Proulx; James G. Mainprize; Nathan J. Packard; John M. Boone; Adil Al-Mayah; Kristy Brock; Martin J. Yaffe;
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作者单位

Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario M4N 3M5, Canada;

Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario M4N 3M5, Canada;

UC Davis Medical Center, University of California-Davis, Sacramento, California 95817;

UC Davis Medical Center, University of California-Davis, Sacramento, California 95817;

University Health Network, University of Toronto, Toronto, Ontario M5G 2M9, Canada;

University Health Network, University of Toronto, Toronto, Ontario M5G 2M9, Canada;

Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario M4N 3M5, Canada;

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原文格式 PDF
正文语种 eng
中图分类生物医学工程;
关键词
volumetric breast density; digital mammography; periphery detection;

机译：乳房容积数字乳腺摄影周边检测;

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1. Accuracy of breast cancer detection with full-field digital mammography and integral computer-aided detection correlated with breast density as assessed by a new automated volumetric breast density measurement system [J] . K Pinker, N Perry, S Milner, Breast Cancer Research . 2010,第Suppla3期

机译：通过新型自动容积式乳腺密度测量系统评估的全视野数字化乳腺X线摄影术以及与乳腺密度相关的整体计算机辅助检测对乳腺癌的准确性
2. 593 Accuracy of breast cancer detection with full-field digital mammography (FFDM) and integral computer-aided detection (CAD) correlated with breast density as assessed by a new automated volumetric breast density measurement system [J] . K.Pinker, S.Milner, D.Stephen, European Journal of Cancer Supplements . 2010,第3期

机译：593通过新型自动容积式乳腺密度测量系统评估的全视野数字化乳腺摄影（FFDM）和集成计算机辅助检测（CAD）与乳腺密度相关的乳腺癌检测准确性
3. Automatic Estimation of Volumetric Breast Density Using Artificial Neural Network-Based Calibration of Full-Field Digital Mammography: Feasibility on Japanese Women With and Without Breast Cancer [J] . Wang Jeff, Kato Fumi, Yamashita Hiroko, Journal of digital imaging: the official journal of the Society for Computer Applications in Radiology . 2017,第2期

机译：基于人工神经网络的全场数字乳房X线摄影校正的体积乳房密度的自动估计：日本女性的可行性，没有乳腺癌
4. Development of a Peripheral Thickness Estimation Method for Volumetric Breast Density Measurements in Mammography Using a 3D Finite Element Breast Model [C] . Olivier Alonzo-Proulx, James G. Mainprize, Nathan J. Packard, International Workshop on Digital Mammography . 2010

机译：使用3D有限元乳房模型的乳房X线照相术中体积乳腺密度测量的外围厚度估计方法的研制
5. Iterative deformable finite element model for nonrigid 3D PET/MRI breast image registration. [D] . Unlu, Mehmet Zubeyir. 2006

机译：用于非刚性3D PET / MRI乳房图像配准的迭代可变形有限元模型。
6. Accuracy of breast cancer detection with full-field digital mammography and integral computer-aided detection correlated with breast density as assessed by a new automated volumetric breast density measurement system [O] . K Pinker, N Perry, S Milner, 2010

机译：通过新型自动容积式乳腺密度测量系统评估的全视野数字化乳腺X线摄影术和与乳腺密度相关的整体计算机辅助检测对乳腺癌的准确性
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机译：体积超声图像乳房肿块的计算机辅助表征：乳腺摄影的辅助

Development of a Peripheral Thickness Estimation Metho for Volumetric Breast Density Measurements in Mammography Using a 3D Finite Element Breast Model

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