The objective of the project is to develop a phase sensitive tomosynthesis technique to facilitate breast cancer detection. The digital breast tomosynthesis, which is currently investigated by many research groups, relies on the small difference in x-ray attenuation between breast tissue and lesions, hence it will be limited in its sensitivity and specificity of breast cancer detection. As x-ray wave pass through breast, x-ray undergoes phase- shifts as well. X-ray phase-shift differences between tissue and lesions are several hundreds to one thousand times larger than their attenuation differences. The proposed prototype system switches the breast tomosynthesis from the attenuation-based imaging with low energy x-rays to the phase sensitive imaging with high energy x-rays. Employing a micro-focus x-ray tube operating at high tube-voltages and innovative phase retrieval and 3D image reconstruction methods, the proposed tomosynthesis technique reconstructs the quantitative slice images of breast electron densities. With this technique the radiation dose to breast is reduced many-fold as compared to current digital breast tomosynthesis. The proposed technique has great potential for enhancing the sensitivity and specificity of breast cancer detection.

Public Health Relevance

In this proposal we propose a drastic paradigm change of x-ray breast tomosynthesis. The project seeks to develop a prototype of the phase sensitive breast tomosynthesis for greatly enhancing the sensitivity and specificity of breast cancer detection and achieving many-fold reduction of radiation doses to breast.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA142587-04
Application #
8403831
Study Section
Special Emphasis Panel (ZRG1-SBIB-P (04))
Program Officer
Baker, Houston
Project Start
2010-01-01
Project End
2014-12-31
Budget Start
2013-01-01
Budget End
2014-12-31
Support Year
4
Fiscal Year
2013
Total Cost
$312,912
Indirect Cost
$66,940
Name
University of Alabama Birmingham
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
063690705
City
Birmingham
State
AL
Country
United States
Zip Code
35294
Wong, Molly Donovan; Wu, Xizeng; Liu, Hong (2014) Image quality and dose efficiency of high energy phase sensitive x-ray imaging: phantom studies. J Xray Sci Technol 22:321-34
Wong, Molly Donovan; Yan, Aimin; Ghani, Muhammad et al. (2014) Dose and detectability improvements with high energy phase sensitive x-ray imaging in comparison to low energy conventional imaging. Phys Med Biol 59:N37-48
Yan, A; Wu, X; Liu, H (2013) A robust general phase retrieval method for medical applications. J Instrum 8:
Miao, Hui; Wu, Xizeng; Zhao, Huijuan et al. (2012) A phantom-based calibration method for digital x-ray tomosynthesis. J Xray Sci Technol 20:17-29
Yan, Aimin; Wu, Xizeng (2011) Apparent Linear Attenuation Coefficients in Phase Contrast X-Ray Tomography. Nucl Instrum Methods Phys Res B 269:1841-1843
Yan, Aimin; Wu, Xizeng; Liu, Hong (2011) Robustness of phase retrieval methods in X-ray phase contrast imaging: a comparison. Med Phys 38:5073-80
Yan, Aimin; Wu, Xizeng; Liu, Hong (2010) Performance analysis of the attenuation-partition based iterative phase retrieval algorithm for in-line phase-contrast imaging. Opt Express 18:16074-89