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Updated: May 8, 2026
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Impulse response and Modulation Transfer Function analysis for Shift-And-Add and Back Projection image reconstruction
Ying Chen1, Joseph Y Lo, James T Dobbins
1Department of Electrical and Computer Engineering, Biomedical Engineering Graduate Program, Southern Illinois University, Carbondale IL 62901, USA, Duke Advanced Imaging Laboratories, Department of Biomedical Engineering, Duke University, Durham NC 27705, USA,
Abstract:
Breast cancer is second only to lung cancer as the leading cause of non-preventable cancer death in women. Digital Breast Tomosynthesis (DBT) is a promising technique to improve early breast cancer detection. In this paper, we present the impulse response and Modulation Transfer Function (MTF) analysis to quantitatively compare Shift-And-Add (SAA) and point-by-point Back Projection (BP) three-dimensional image reconstruction algorithms in DBT. A Filtered Back Projection (FBP) deblurring algorithm based on point-by-point BP was used to demonstrate deblurred tomosynthesis images.
