Addressing the Challenges in Transitioning from Mammography to Breast Tomosynthe*

应对从乳房 X 线摄影过渡到乳房断层合成的挑战*

• 批准号: 8334080
• 负责人: Mini Das
• 金额: $ 11.62万
• 依托单位: UNIVERSITY OF HOUSTON
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-14 至 2014-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8334080
• 关键词: Address; Affect; Algorithms; Area; Award; Biological Process; Breast; Breast Cancer Detection; Breast Microcalcification; Clinical; Clinical Trials; Complement; Computer Simulation; Detection; Development; Devices; Diagnostic; Digital Mammography; Disease; Dose; Engineering; Evaluation; Future; General Population; Goals; Image; Imagery; Imaging Device; Imaging Techniques; Lesion; Light; Low Dose Radiation; Malignant Neoplasms; Mammography; Methods; Modality; Noise; Noninfiltrating Intraductal Carcinoma; Optics; Patients; Performance; Physics; Principal Investigator; Property; Protocols documentation; Psychophysiology; Radiation; Research; Research Personnel; Role; Screening for cancer; Screening procedure; Slice; Staging; Structure; System; Techniques; Testing; Three-Dimensional Imaging; Tissues; Training Activity; Translating; Vendor; attenuation; base; breast lesion; clinically relevant; design; detector; digital; image reconstruction; improved; infiltrating duct carcinoma; innovation; programs; quantum; radiologist; reconstruction; skills; tomography; tool; tumor; two-dimensional

DESCRIPTION (provided by applicant): This K25 award will be used for successful transition for Dr. Mini Das, who is a physicist and optical engineer, to apply her skills to clinically relevant research in breast imaging. Her long-term goals are to be an independent researcher in this area and to develop a research program combining innovative physics with a thorough understanding of relevant biological processes, state of the art imaging techniques and real clinical needs for early stage breast cancer detection. In this proposal, Dr. Das will address some of the existing challenges in transitioning from 2D mammography to 3D breast images. Digital mammography (DM) has shown very high rate of detectability for microcalcifications (MCs), which are the primary precursor for invasive ductal carcinoma (DCIS). While digital breast tomosynthesis (DBT) is a modality waiting for FDA approval, it is not clear if it has been proven good enough to replace DM. Due to the differences in the attenuation properties and size/structure between MCs and masses, it is difficult to optimize DBT systems for best performance for both MC and mass detection from the same reconstructed image In light of these various challenges, the evaluation of the proposed variable dose DBT (VD-DBT) technique proposed here is of high significance. Here, a central projection slice equivalent to DM (primarily for MC detection) and a 3D reconstruction image (primarily for mass detection) can be acquired simultaneously. This method will also provide a smooth transition for the radiologists to obtain both a mammographic image and a 3D reconstructed image simultaneously with the lowest possible total dose. The second part of our proposal to investigate a penalised maximum likelihood (PML) reconstruction method with adjustable priors that can enable low noise image with improved SNR and edge preserving effects can improve the detection of masses using the 3D reconstructed image. This is also highly significant considering the need to reduce the total imaging dose in any proposed breast screening modality like DBT.

描述（由申请人提供）：该 K25 奖项将用于帮助 Mini Das 博士（一位物理学家和光学工程师）成功过渡，将她的技能应用于乳腺成像的临床相关研究。她的长期目标是成为该领域的独立研究员，并开发一个研究计划，将创新物理学与对相关生物过程的透彻理解、最先进的成像技术和早期乳腺癌检测的实际临床需求相结合。在这项提案中，Das 博士将解决从 2D 乳房 X 线摄影过渡到 3D 乳房图像过程中现有的一些挑战。数字乳房 X 线摄影 (DM) 对微钙化 (MC) 的检出率非常高，微钙化是浸润性导管癌 (DCIS) 的主要前兆。虽然数字乳腺断层合成 (DBT) 是一种正在等待 FDA 批准的方法，但尚不清楚它是否已被证明足以取代 DM。由于 MC 和质量之间的衰减特性和尺寸/结构存在差异，因此很难优化 DBT 系统，以便从同一重建图像中获得 MC 和质量检测的最佳性能。鉴于这些不同的挑战，对所提出的方法进行评估这里提出的可变剂量DBT（VD-DBT）技术具有很高的意义。这里，可以同时获取相当于DM（主要用于MC检测）的中心投影切片和3D重建图像（主要用于质量检测）。该方法还将为放射科医生提供平滑过渡，以尽可能低的总剂量同时获取乳房 X 线摄影图像和 3D 重建图像。我们提案的第二部分是研究具有可调整先验的惩罚最大似然 (PML) 重建方法，该方法可以实现具有改进的 SNR 和边缘保留效果的低噪声图像，可以使用 3D 重建图像改进质量检测。考虑到在任何提议的乳腺筛查方式（如 DBT）中需要减少总成像剂量，这一点也非常重要。