Optical Imaging Fused with Tomosynthesis for Improved Breast Cancer

光学成像与断层合成相结合可改善乳腺癌

• 批准号: 8444272
• 负责人: KEITH D. PAULSEN
• 金额: $ 50.95万
• 依托单位: DARTMOUTH COLLEGE
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-05-01 至 2015-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8444272
• 关键词: Advanced Development; Algorithms; Applications Grants; Back; Biopsy; Breast; Characteristics; Clinical; Clinical Research; Clinical Trials; Computer software; Data; Development; Diagnostic; Disease; Elements; Exhibits; Film; Funding; Future; Generations; Goals; Image; Imaging technology; Institution; Investigation; Malignant Neoplasms; Mammography; Massachusetts; Methods; NIH Program Announcements; Outcome; Pattern; Physics; Predictive Value; Relative (related person); Research Design; Resolution; Resources; Staging; System; Techniques; Technology; Tissues; Universities; Validation; design; experience; image processing; image reconstruction; imaging Segmentation; imaging modality; improved; in vivo; innovation; malignant breast neoplasm; medical schools; mortality; optical imaging; prototype; reconstruction; tomography

PROJECT SUMMARY/ABSTRACT This application responds to Program Announcement Number PAR-07-214 (Academic-Industrial Partnerships for Development and Validation of In Vivo Imaging Systems and Methods for Cancer Investigations) by proposing a 3-way partnership between Dartmouth, University of Massachusetts (UMass) Medical School and Hologic, Inc (Bedford, MA) to develop and validate a new fusion technology for breast imaging - Near Infrared (NIR) spectral tomography (NIRST) integrated with breast tomosynthesis (BTS). The goal is to create a single exam platform that will synergistically combine the functional parameters obtained through NIRST with the high resolution 3D structural information available from BTS to enable diagnostic decisions that exhibit superior ROC characteristics and substantially improved PPVs over current call-back and diagnostic practices associated with breast cancer surveillance. The project capitalizes on the significant technical, clinical and commercial strengths of its three partners. Specifically, Dartmouth provides more than a decade of experience in the development of advanced concepts for application of NIRST in breast imaging including forms that have been successfully fused with other conventional imaging modalities. Dartmouth has also participated as a leading institution in early clinical studies of BTS with the Hologic system. UMass brings accomplishments and expertise in the x-ray physics of breast imaging that includes the development of significant advances in system hardware as well as image processing and reconstruction algorithms which are pivotal to the proposed studies. Hologic, Inc, is the commercial leader in the development of the most advanced BTS technology, has extensive experience in the design and conduct of BTS evaluative clinical trials and is poised to release commercially its second generation system which is expected to gain FDA approval in the near future. The specific aims of the project are: (1) to develop a fusion of NIRST and BTS that progresses to a fully integrated platform where the optical imaging technology is permanently in place during BTS imaging; (2) to develop the x-ray image segmentation and concomitant reconstruction algorithms for defining breast parenchymal patterns as structural priors for NIR image formation; (3) to optimize and characterize the most promising hardware and software outcomes from Aim 1 and Aim 2 and evaluate them in phantoms and early-stage clinical exams to establish feasibility and refine their capabilities in the form of two identical prototypes; (4) to conduct a two- center clinical study designed to demonstrate the validity of the proposed fusion platform and establish the clinical potential of the approach.

项目概要/摘要 此应用程序响应计划公告编号 PAR-07-214（学术-工业合作伙伴关系） 用于癌症研究体内成像系统和方法的开发和验证） 提议达特茅斯学院、马萨诸塞大学 (UMass) 医学院和 Hologic, Inc（马萨诸塞州贝德福德）将开发并验证一种新的乳腺成像融合技术 - 近红外 (NIR) 光谱断层扫描 (NIRST) 与乳腺断层合成 (BTS) 集成。目标是创建一个单一的 考试平台将通过 NIRST 获得的功能参数与高 BTS 提供分辨率 3D 结构信息，使诊断决策表现出卓越的性能 与当前回调和诊断实践相比，ROC 特征和显着改进的 PPV 与乳腺癌监测相关。该项目利用了重要的技术、临床和 其三个合作伙伴的商业优势。具体来说，达特茅斯提供了十多年的经验 开发 NIRST 在乳腺成像中应用的先进概念，包括具有以下特点的形式： 已成功与其他传统成像方式融合。达特茅斯学院也作为 使用 Hologic 系统进行 BTS 早期临床研究的领先机构。麻省大学带来的成就和 乳腺成像 X 射线物理学方面的专业知识，包括在 系统硬件以及图像处理和重建算法对于所提出的方案至关重要 研究。 Hologic, Inc 是开发最先进 BTS 技术的商业领导者， 在 BTS 评估性临床试验的设计和实施方面拥有丰富的经验，并准备发布 其第二代系统即将投入商业化，预计将在不久的将来获得 FDA 的批准。这 该项目的具体目标是：(1) 开发 NIRST 和 BTS 的融合，从而发展为完全集成的 BTS 成像期间光学成像技术永久到位的平台； (2) 发展 用于定义乳腺实质模式的 X 射线图像分割和伴随重建算法 作为近红外图像形成的结构先验； (3) 优化和表征最有前途的硬件和 目标 1 和目标 2 的软件结果，并在模型和早期临床检查中对其进行评估，以 以两个相同原型的形式建立可行性并完善其能力； (4) 进行两次 中心临床研究旨在证明所提出的融合平台的有效性并建立 该方法的临床潜力。

项目成果

Calibration and optimization of 3D digital breast tomosynthesis guided near infrared spectral tomography.

• DOI: 10.1364/boe.6.004981
• 发表时间: 2015-12
• 期刊: Biomedical optics express
• 影响因子: 3.4
• 作者: K. Michaelsen;V. Krishnaswamy;Linxi Shi;S. Vedantham;S. Poplack;A. Karellas;B. Pogue;K. Paulsen

Semi-automated segmentation and classification of digital breast tomosynthesis reconstructed images.

• DOI: 10.1109/iembs.2011.6091528
• 发表时间: 2011
• 期刊: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
• 作者: Vedantham S;Shi L;Karellas A;Michaelsen KE;Krishnaswamy V;Pogue BW;Paulsen KD
• 通讯作者: Paulsen KD

Characterization of materials for optimal near-infrared and x-ray imaging of the breast.

用于乳腺最佳近红外和 X 射线成像的材料表征。

• DOI: 10.1364/boe.3.002078
• 发表时间: 2012
• 期刊: Biomedical optics express
• 影响因子: 3.4
• 作者: Michaelsen,Kelly;Krishnaswamy,Venkataramanan;Pogue,BrianW;Brooks,Ken;Defreitas,Ken;Shaw,Ian;Poplack,StevenP;Paulsen,KeithD
• 通讯作者: Paulsen,KeithD

Digital Breast Tomosynthesis guided Near Infrared Spectroscopy: Volumetric estimates of fibroglandular fraction and breast density from tomosynthesis reconstructions.

数字乳腺断层合成引导近红外光谱：通过断层合成重建对纤维腺分数和乳腺密度进行体积估计。

• DOI: 10.1088/2057-1976/1/4/045202
• 发表时间: 2015
• 期刊: Biomedical physics & engineering express
• 影响因子: 1.4
• 作者: Vedantham,Srinivasan;Shi,Linxi;Michaelsen,KellyE;Krishnaswamy,Venkataramanan;Pogue,BrianW;Poplack,StevenP;Karellas,Andrew;Paulsen,KeithD
• 通讯作者: Paulsen,KeithD

Photon-counting digital mammography: evaluation of performance under clinically relevant conditions.

光子计数数字乳房X线摄影：临床相关条件下的性能评估。

• DOI: 10.1016/j.acra.2012.05.007
• 发表时间: 2012
• 期刊: Academic radiology
• 影响因子: 4.8
• 作者: Karellas,Andrew