Digital Specimen Tomosynthesis for Volumetric Imaging of Lumpectomy Specimens

描述（由申请人提供）：该项目的目标是开发一种数字标本断层合成（DST）系统，该系统基于临床标本放射照相（SR）系统，用于在手术室内或附近对乳房肿瘤切除标本进行快速、体积成像。尽管SR目前被用于手术阳性切缘评估、病理检查指导和其他临床/临床前应用，但由于缺乏SR图像中标本的体积信息，其实用性受到限制。所提出的DST可以产生有用的标本体积信息，通过该信息可以识别重叠的解剖结构，但只需要对临床sr进行最小的修改。它可以在1-2分钟内完成成像任务，这是一个可接受的临床时间，可以在手术室内和附近快速评估标本，识别阳性边缘，从而减少阳性边缘被识别的频率，以及随后的再切除。外科手术。它还可以用于提高病理检查的准确性，指导病理学家关注标本中阳性概率最高的区域，从而通过降低

DESCRIPTION (provided by applicant): The objective of the project is to develop a digital specimen tomosynthesis (DST) system, based upon the clinical specimen radiography (SR) system for performing rapid, volumetric imaging of breast lumpectomy specimen in or near a surgical suite. Even though SR is used currently for surgical positive-margin evaluation, pathological examination guidance, and other clinical/preclinical applications, its utility is limied by the lack of volumetric information about specimens in SR images. The proposed DST can yield useful volumetric information about the specimen by virtue of which overlapping anatomic structures can be discerned, yet involving only minimal modifications to clinical SR. It can accomplish the imaging task within 1-2 minutes, an acceptable clinical time for a rapid evaluation of the specimen in identifying positive margins in and near an operating suite, thus reducing the frequency of positive margins being identified, and of consequent re- excisions, post surgically. It can also be used for improving accuracy in pathologic examinations by providing guidance to the pathologist to focus on regions in the specimen with the highest probability of positivity, thus increasing the sensitivity of the pathology process by reducing the incidence of missed positive regions due to suboptimal sampling. Because multiple SR images, including the ones used in current clinic evaluation, are collected in DST imaging, the DST thus retains the full functionality of current SR, and would not alter the workflow in the operating room, but only enhance the quality of information obtained from imaging, leading to improved decision making. Because the DST is designed based upon an inexpensive SR system that is used widely in breast-surgery suites, it provides an economical, practical solution which can readily be disseminated. Knowledge gained in the project can be exploited for the design and development of advanced, application- specific emerging X-ray-based tomographic imaging systems in image-guided surgery and radiation therapy, and in extremity imaging. The specific aims of the project are (1) to develop DST for rapid, volumetric imaging of lumpectomy specimen; (2) to develop algorithms for enabling DST imaging of lumpectomy specimen; and (3) to evaluate the performance of DST-scan configurations/algorithms.