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英文摘要
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.
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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]
通讯作者: K. Michaelsen;V. Krishnaswamy;Linxi Shi;S. Vedantham;S. Poplack;A. Karellas;B. Pogue;K. Paulsen
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
影响因子: --
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
共 8 条
    Training in Surgical Innovation
    • 批准号:
      10205062
    • 项目类别:
    • 资助金额:
      $19.88万
    • 财政年份:
      2017
    • 负责人:
      KEITH D. PAULSEN
    • 依托单位:
    Training in Surgical Innovation
    • 批准号:
      9280049
    • 项目类别:
    • 资助金额:
      $9.43万
    • 财政年份:
      2017
    • 负责人:
      KEITH D. PAULSEN
    • 依托单位:
    Optical Scatter Imaging System for Surgical Specimen Margin Assessment during Breast Conserving Surgery
    • 批准号:
      8840807
    • 项目类别:
    • 资助金额:
      $49.28万
    • 财政年份:
      2015
    • 负责人:
      KEITH D. PAULSEN
    • 依托单位:
    Optical Scatter Imaging System for Surgical Specimen Margin Assessment during Breast Conserving Surgery
    • 批准号:
      9020962
    • 项目类别:
    • 资助金额:
      $46.06万
    • 财政年份:
      2015
    • 负责人:
      KEITH D. PAULSEN
    • 依托单位:
    海外基金