3 D IMAGE PROCESSING FOR AUTOMATED DIGITAL MAMMOGRAPHY

我们提出了一个专注于数值开发的研究计划 数字立体乳房摄影术的模型和新算法。 的目标 数字立体乳房摄影术是双重的：（i）开发算法， 提供正常、良性和异常乳房X线照片的更好分离 可疑的研究集的使用额外的信息（从两个 视图），以及（ii）允许在3-D中定位可疑区域， 从标准立体定向视图直接计算。 我们具体计划： 开发和优化数字模型和新算法， 立体乳房摄影术 研究多视图（立体）乳腺成像的有效性， 它在多大程度上提高了维度和信息水平， 乳房摄影图像数据。 为了证明可疑组织可以根据以下内容进行确认/弱化 自动和/或半自动立体比较。 为了证明数字化立体乳腺摄影方法具有潜力， 大大降低了对遮挡和投影问题的敏感性 （尺寸损失）。 到遮挡和投影问题（尺寸损失）。 开发自动计算三维形态的方法， 通过自动立体三角测量放置潜在的可疑病变。 这项创新的发展研究将利用高分辨率（42亩） 来自Fisher Imaging Corporation PASS的立体定向乳房X线摄影数据 （原型亚利桑那州槽扫描仪）获得的协议，从上校Ramikant Shah，乳房X光检查科主任，布鲁克军队医疗中心（BAMC），福特 山姆休斯顿，圣安东尼奥。 多种计算立体视觉 方法将应用于真实的数据集，包括稀疏特征， 的算法和密集计算密集型算法。 此外，本发明还提供了一种方法， 使用BAMC提供的合成乳房（体模）进行的重要实验 将努力探索最佳分离角度 在立体定向视图之间。 数字立体乳腺摄影术的成功发展， 自动化计算机辅助检测（CAD）系统具有巨大的潜力 为了提高筛选过程的效率，从而减少 每项研究的平均成本，减少了日常工作所需的人力 筛查乳房X光检查，并可能提高灵敏度， 筛选过程的特异性，允许更大比例的时间 致力于 异常图像的分析。

We propose a program of res e arch focused ont he development of numerical models and new algorithms for digital stereomammography. The goal of digital stereomammography is two-fold: (i) to develop algorithms that will provide better separation of mammograms in normal, benign, and abnormal suspicious study sets by the use of additional information (from two views), and (ii) to allow localization, in 3-D, of suspect regions via direct computation from standard stereotactic views. We specifically plan: To develop and optimize numerical models and new algorithms for digital stereomammography. To study the efficacy of multiple-view (stereoscopic) breast imaging and the degree to which it enhances the dimensionality and information level of mammographic image data. To demonstrate the suspect tissues can be validated/de-emphasized based on automatic and/or semiautomatic stereo-comparison. To show that athe digital stereomammographic approach has the potential to greatly reduce sensitivity to occlusions and the projection problem (dimension loss). To occlusions and the projection problem (dimension loss). To develop methods for automatically calculating the 3-D morphology and placement of potential suspect lesions via automated stereo triangulation. This innovative development study will utilize high resolution (42 mu) stereotactic mammogram data from a Fisher Imaging Corporation PASS (Prototype Arizona Slot Scanner) obtained by agreement from Col. Ramikant Shah, Chief Mammography section, Brooke Arm y Medical Center (BAMC), Fort Sam Houston, San Antonio. A diversity of computational stereo vision approaches will be applied to the real data sets, including sparse feature- based algorithms and dense computation-intensive algorithms. In addition, significant experiments with a synthetic breast (phantom) supplied by BAMC will be conducted in an effort to explore the optimal separation angle between the stereotactic views. The successful development of digital stereomammography as part of a semi- automated computer-aided detection (CAD) system has significant potential to increase the efficiency of the screening processes, thus decreasing the average cost per study, reducing the manpower required for routine screening mammography, and possibly increasing the sensitivity and specificity of the screening process, allowing a greater percentage of time to be devoted t the analysis of abnormal images.