Stationary Anti-scatter Grids for Digital Breast Imaging

Information

  • Research Project
  • 8131921
  • ApplicationId
    8131921
  • Core Project Number
    R44CA132260
  • Full Project Number
    5R44CA132260-04
  • Serial Number
    132260
  • FOA Number
    PA-07-280
  • Sub Project Id
  • Project Start Date
    9/28/2007 - 17 years ago
  • Project End Date
    8/31/2014 - 10 years ago
  • Program Officer Name
    EVANS, GREGORY
  • Budget Start Date
    9/1/2011 - 13 years ago
  • Budget End Date
    8/31/2014 - 10 years ago
  • Fiscal Year
    2011
  • Support Year
    4
  • Suffix
  • Award Notice Date
    8/18/2011 - 13 years ago
Organizations

Stationary Anti-scatter Grids for Digital Breast Imaging

DESCRIPTION (provided by applicant): Breast cancer is the most common cancer among women in the United States and is second only to lung cancer as a cause of cancer-related death. Much of the reduced mortality over the past decade can be attributed to early detection and timely medical intervention. Mammography remains the gold standard for breast cancer screening and early detection. Despite its higher initial cost, digital mammography is rapidly becoming the modality of choice, because of its speed, automation and archiving capability. Image quality, however, remains arguably no better than that achieved on older analog systems. We propose a technological innovation that will enhance the quality of digital mammographic images: a stationary anti-scatter grid with high primary transmission and very low scatter-to- primary ratio that will increase image contrast and, thus, facilitate interpretation of the resulting image. Creatv's grid is the result of two technical innovations: a novel, high precision lithographic technique that is superior to conventional x-ray and UV methods, and a proprietary replication technique suitable for high volume production of metal microstructures. The grid can be manufactured at competitive cost and made broadly available to mammography system makers and users. The improvement in image quality will allow radiologists and computer-aided software to make more correct interpretation of the images, leading to a reduced number of false positives and false negatives and saving lives.

IC Name
NATIONAL CANCER INSTITUTE
  • Activity
    R44
  • Administering IC
    CA
  • Application Type
    5
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    510793
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    394
  • Ed Inst. Type
  • Funding ICs
    NCI:510793\
  • Funding Mechanism
    SBIR-STTR
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    CREATV MICROTECH, INC.
  • Organization Department
  • Organization DUNS
    008723694
  • Organization City
    POTOMAC
  • Organization State
    MD
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    208541221
  • Organization District
    UNITED STATES