Abstract

According to the American Cancer Society

Public Health Relevance

Early detection of breast cancer is highly effective in lowering mortality-rates. MRI, which is safe in terms of no ionizing radiation, can be used at younger ages for early detection of cancer;however, the existing MR imaging methods are not highly specific in detecting malignant breast tumors. We propose developing a commercial system for imaging and quantifying tissue

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
5R44CA162870-03
Application #
8649028
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Narayanan, Deepa
Project Start
2012-09-26
Project End
2015-03-31
Budget Start
2014-04-01
Budget End
2015-03-31
Support Year
3
Fiscal Year
2014
Total Cost
Indirect Cost

  Institution

Name
Diagnosoft, Inc.
Department
Type
DUNS #
City
Durham
State
NC
Country
United States
Zip Code
27703

  Publications

El Khouli, Riham H; Macura, Katarzyna J; Kamel, Ihab R et al. (2014) The effects of applying breast compression in dynamic contrast material-enhanced MR imaging. Radiology 272:79-90
Haruoni, Ahmed A; Hossain, Jakir; El Khouli, Riham et al. (2012) Strain-encoded breast MRI in phantom and ex vivo specimens with histological validation: preliminary results. Med Phys 39:7710-8
Harouni, Ahmed A; Jacobs, Michael A; Osman, Nael F (2011) Finding the optimal compression level for strain-encoded (SENC) breast MRI; simulations and phantom experiments. Med Image Comput Comput Assist Interv 14:444-51