Dynamic breast MRI: image registration and its impact on enhancement curve estimation.
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.
Hill
Andrew
A
Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., Brisbane, Qld, Australia. ahill@itee.uq.edu.au
Mehnert
Andrew
A
Crozier
Stuart
S
Leung
Carlos
C
Wilson
Stephen
S
McMahon
Kerry
K
Kennedy
Dominic
D
D000465:Algorithms; D001698:Biomedical Engineering; D001943:Breast Neoplasms / Q000175:diagnosis*; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000706:statistics & numerical data*