Computerized Lesion Detection in Breast Tomosynthesis

乳腺断层合成中的计算机化病变检测

• 批准号: 7290123
• 负责人: ROBERT M NISHIKAWA
• 金额: $ 28.34万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-22 至 2008-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7290123
• 关键词: bioimaging /biomedical imaging; breast neoplasm /cancer diagnosis; breast neoplasms; clinical research; computed axial tomography; computer assisted diagnosis; diagnosis design /evaluation; diagnostic tests; digital imaging; human tissue; image guided surgery /therapy; image processing; imaging /visualization /scanning; mammography; three dimensional imaging /topography

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.

描述（由申请人提供）： 乳腺断层合成摄影是一种很有前途的新技术，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腺X线摄影的主要问题。传统的乳房X线照相术，因为它产生2-D图像，遭受重叠组织的问题，或者掩盖癌症（假阴性）或者模仿癌症（假阳性）。虽然该技术展示了很大的希望，但它尚未得到适当的优化。我们的长期目标是优化乳腺断层合成摄影。作为优化的一部分，我们相信计算机辅助诊断将在乳腺断层合成摄影中发挥重要作用，因为每个患者的每个乳房将有多达80个图像。我们这项建议的目标是开发计算机辅助检测（CADe）乳腺断层合成计划。 具体目标是（1-3是针对R21，4-7是针对R33）： 1.建立临床乳腺断层合成摄影病例数据库; 2.使用投影图像开发CADe方案（聚集钙化和肿块）; 3.开发乳腺断层合成系统的综合模型，以生成合成断层合成图像。 4.研究图像采集对CADe方案性能的影响; 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方案; 7.比较有和没有CAD的断层合成的初步观察者研究。 如果我们成功，断层合成将有更大的临床实用性，因此，可接受性。这将改善乳腺癌的检测-提高灵敏度和特异性-从而降低乳腺癌的死亡率和发病率。