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Updated: Jul 10, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Dynamic breast MRI: image registration and its impact on enhancement curve estimation
Andrew Hill1, Andrew Mehnert, Stuart Crozier
1Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., Brisbane, Qld, Australia. ahill@itee.uq.edu.au
Abstract:
A novel algorithm for performing registration of dynamic contrast-enhanced (DCE) MRI data of the breast is presented. It is based on an algorithm known as iterated dynamic programming originally devised to solve the stereo matching problem. Using artificially distorted DCE-MRI breast images it is shown that the proposed algorithm is able to correct for movement and distortions over a larger range than is likely to occur during routine clinical examination. In addition, using a clinical DCE-MRI data set with an expertly labeled suspicious region, it is shown that the proposed algorithm significantly reduces the variability of the enhancement curves at the pixel level yielding more pronounced uptake and washout phases.
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