3 D IMAGE PROCESSING FOR AUTOMATED DIGITAL MAMMOGRAPHY

我们提出了一个专注于数值计算发展的研究方案 数字体视放射成像的模型和新算法。的目标是 数字立体钼靶摄影有两个方面：(I)开发算法，以便 更好地区分正常、良性和异常的乳房X光照片 通过使用附加信息(来自两个)设置可疑研究 视图)，以及(Ii)允许通过以下方式在3-D中定位可疑区域 从标准立体定向视图直接计算。我们特别计划： 开发和优化数字计算的数值模型和新算法 立体钼靶摄影术。 目的：研究多视角(立体)乳房成像的疗效。 它在多大程度上提高了信息系统的维度和信息化水平 乳房X光摄影图像数据。 为了证明可疑组织可以根据以下条件进行验证/去加重 自动和/或半自动立体比较。 为了证明一种数字体视学方法有可能 大大降低对遮挡和投影问题的敏感度 (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和 通过自动立体三角测量定位潜在可疑病变。 这项创新开发研究将利用高分辨率(42亩) 来自费舍尔成像公司PASS的立体定向乳房X光检查数据 (亚利桑那州缝隙扫描仪原型)经Ramikant上校同意获得 Shah，首席乳房摄影科，布鲁克手臂医疗中心(BAMC)，Fort 山姆·休斯顿，圣安东尼奥。计算立体视觉的多样性 方法将应用于真实数据集，包括稀疏特征- 基于算法和密集计算密集型算法。此外, 使用BAMC提供的人造乳房(体模)进行的重要实验 将努力探索最佳分离角度 在立体定向的视线之间。 数字立体钼靶摄影的成功开发是半实物摄影的一部分。 自动计算机辅助检测(CAD)系统具有巨大的潜力 以提高筛选过程的效率，从而减少 每项研究的平均成本，减少了例行工作所需的人力 筛查乳房X光检查，并可能增加敏感性和 筛查过程的特殊性，允许更大百分比的时间 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.