Computerized Lesion Detection in Breast Tomosynthesis

描述(由申请人提供)： 乳房断层合成是一种很有前途的新技术，它可以产生三维图像集。初步临床结果表明，该技术可以克服传统乳房X光检查的主要问题。传统的乳房X光检查，因为它产生的是二维图像，存在组织重叠的问题，要么掩盖了癌症(假阴性)，要么模仿了癌症(假阳性)。虽然这项技术展示了很大的前景，但它还没有得到适当的优化。我们的长期目标是优化完全的乳房断层合成。作为这种优化的一部分，我们相信计算机辅助诊断将在乳房断层合成中发挥重要作用，因为每个患者将拥有多达80张每个乳房的图像。我们这项提议的目标是开发用于乳房断层合成的计算机辅助检测(CADE)方案。 具体目标为(1-3为R21，4-7为R33)： 1.建立乳房断层成形术临床病例数据库； 2.利用投影图像开发CADE方案(簇状钙化和肿块)； 3.建立乳腺断层合成系统的综合模型，以生成合成的断层合成图像。 4.研究图像采集对CADE算法性能的影响； 5.利用投影图像的CADE结果改进重建图像集； 6.利用重建图像集开发CADE格式； 7.先导观察者研究，比较使用和不使用计算机辅助设计的断层合成。 如果我们成功，断层合成将有更大的临床应用，因此，可接受性。这应该会改善乳腺癌的检测--提高敏感性和特异性--从而降低乳腺癌的死亡率和发病率。

DESCRIPTION (provided by applicant): Breast tomosynthesis is a promising new technique that produces a 3-dimensional image set. Initial clinical results indicate that the technique can overcome the major problem with conventional mammography. A conventional mammography, because it produces a 2-D image, suffers from the problem of overlapping tissue either obscuring a cancer (false negative) or mimicking a cancer (false positive). While the technique demonstrates much promise, it has not yet been properly optimized. Our long-term goal is to optimize fully breast tomosynthesis. As part of that optimization, we believe that computer-aided diagnosis will play an important role in breast tomosynthesis, because each patient will have up to 80 images of each breast. Our goal for this proposal is to develop computer-aided detection (CADe) schemes for breast tomosynthesis. The specific aims are (1-3 are for R21 and 4-7 for R33): 1. To develop a database of clinical breast tomosynthesis cases; 2. To develop CADe schemes (clustered calcifications and masses) using projection images; 3. To develop a comprehensive model of breast tomosynthesis system to produce synthetic tomosynthesis images. 4. To study the effect of image acquisition on the performance of CADe schemes; 5. Use CADe results on projection images to improve reconstructed image set; 6. Develop CADe schemes using reconstructed image set; 7. Pilot observer study comparing tomosynthesis with and without CAD. If we are successful, tomosynthesis will have greater clinical utility and, therefore, acceptability. This should improve the detection of breast cancer - improved sensitivity and specificity - resulting in a reduction in breast cancer mortality and morbidity.