VOLUMETRIC BREAST DENSITY ESTIMATION USING BREAST SURFACE RECONSTRUCTED

使用重建的乳房表面进行乳房体积密度估计

• 批准号: 8167568
• 负责人: FEI LIU
• 金额: $ 7.56万
• 依托单位: UNIVERSITY OF DELAWARE
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-03-01 至 2011-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8167568
• 关键词: Address; Breast; Breast Cancer Risk Factor; Computer Retrieval of Information on Scientific Projects Database; Delaware; Funding; Grant; Image; Institution; Knowledge; Mammaplasty; Mammography; Methods; Optics; Research; Research Personnel; Resources; Scanning; Shapes; Source; Surface; Thick; United States National Institutes of Health; Universities; base; breast density; improved; lifetime risk; malignant breast neoplasm; reconstruction

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. VOLUMETRIC BREAST DENSITY ESTIMATION USING BREAST SURFACE RECONSTRUCTED Fengshan Liu, Delaware State University We propose to use breast surface reconstructions produced from optical digitizer images to improve the accuracy of volumetric breast density estimation. Breast density is used to estimate the lifetime risk of breast cancer based on the analysis of mammograms; it is indicative of changes in modifiable breast cancer risk factors. Estimation of volumetric breast density requires knowledge of the breast thickness at every point in a mammogram. The breast thickness is defined by the mammography acquisition geometry; this is determined by the distance between the compression plates, except near the breast edge where the breast is not fully compressed. Current methods for volumetric breast density (VBD) estimation address this issue by assuming a predefined breast shape. Based on our demonstrated high accuracy and precision in reconstruction of the breast surface, it is hypothesized that non-contact optical surface scanning can be used to more accurately determine the breast thickness at every point, and therefore improve VBD estimation accuracy.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 利用重建的乳房表面进行乳房体积密度估计 刘凤山，特拉华州州立大学 我们建议使用从光学数字化仪图像产生的乳房表面重建，以提高体积乳腺密度估计的准确性。乳腺密度是根据对乳房X线照片的分析来估计乳腺癌的终生风险;它表明可改变的乳腺癌风险因素的变化。体积乳腺密度的估计需要了解乳房X线照片中每个点的乳房厚度。乳房厚度由乳房X线摄影采集几何结构定义;这由压缩板之间的距离确定，但乳房边缘附近乳房未完全压缩的情况除外。当前用于体积乳腺密度（VBD）估计的方法通过假设预定义的乳腺形状来解决这个问题。基于我们所证明的乳房表面重建的高准确度和精度，假设非接触式光学表面扫描可以用于更准确地确定每个点处的乳房厚度，从而提高VBD估计准确度。