Iterative Reconstruction for Breast Tomosynthesis

乳房断层合成的迭代重建

• 批准号: 6969515
• 负责人: STEPHEN J GLICK
• 金额: $ 29.04万
• 依托单位: UNIV OF MASSACHUSETTS MED SCH WORCESTER
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2010-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6969515
• 关键词: bioimaging /biomedical imaging; clinical research; diagnosis design /evaluation; female; human data; image enhancement; mammography; mathematical model; tomography

DESCRIPTION (provided by applicant): The detection of lesions in conventional mammography is a difficult task, predominantly due to the masking effect of superimposed parenchyma! breast patterns. Limited angle, tomographic mammography, also referred to as breast tomosynthesis, is a technique that has been proposed to reduce this masking effect, by providing the radiologist with tomographic image slices through the breast. The goal of the proposed research is to investigate the use of iterative reconstruction methods for breast tomosynthesis. Iterative reconstruction methods have a number of potential advantages over some previously proposed tomosynthesis methods including; 1) a more accurate modeling of the noise in the data, 2) the capability for modeling the physics of x-ray transport, thus providing an integrated approach for compensation of scatter and detector blur, and 3) the capability of incorporating a priori information on the object to be reconstructed. Our hypothesis is that breast tomosynthesis using iterative reconstruction methods can provide improved detection of malignant lesions as compared to backprojection tomosynthesis, as well as to conventional two-view digital mammography. To test this hypothesis, human observer psychophysical studies will be performed comparing conventional two-view digital mammography and tomosynthesis with different reconstruction approaches using patient data acquired with a commercial prototype breast tomosynthesis system. We also propose to investigate a number of issues related to the acquisition process of breast tomosynthesis including; 1) alternative acquisition geometries, 2) the impact of varying levels of breast compression, 3) the impact of scatter, and 4) the optimal anti-scatter grid. Evaluation and optimization of different imaging system designs and acquisition processes will be conducted by evaluating lesion detection accuracy using realistically simulated tomosynthesis breast images.

描述（由申请人提供）：在传统乳腺X线摄影中检测病变是一项困难的任务，主要是由于叠加的实质的掩蔽效应！乳房模式。有限角度、断层摄影乳房摄影术，也称为乳房断层合成摄影术，是一种已经被提出来通过向放射科医师提供穿过乳房的断层摄影图像切片来减少这种掩蔽效应的技术。拟议研究的目标是研究迭代重建方法在乳腺断层合成摄影中的应用。迭代重建方法相对于一些先前提出的断层合成方法具有许多潜在的优点，包括：1）对数据中的噪声进行更准确的建模，2）对X射线传输的物理特性进行建模的能力，从而提供用于补偿散射和检测器模糊的集成方法，以及3）结合关于待重建对象的先验信息的能力。我们的假设是，与反投影断层合成以及传统的双视图数字乳腺X射线摄影相比，使用迭代重建方法的乳腺断层合成可以提供更好的恶性病变检测。为了验证这一假设，将进行人类观察者心理物理研究，比较传统的双视图数字乳腺X射线摄影和断层合成摄影与不同的重建方法，使用商业原型乳腺断层合成摄影系统采集的患者数据。我们还建议调查与乳腺断层合成摄影采集过程相关的许多问题，包括：1）替代采集几何结构，2）不同乳腺压迫水平的影响，3）散射的影响，以及4）最佳防散射网格。将通过使用真实模拟断层合成乳腺图像评价病变检测准确性，对不同成像系统设计和采集过程进行评价和优化。