Images Registration of Breast DCE-MRI by Markov Random Field

doi:10.3969/j.issn.1006-2475.2015.11.016

Abstract

Abstract: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) suffers artifact by patient motion during the imaging procedure. It is necessary to correct patient motion effect by deformation registration for DCE-MRI. To make use of the prior knowledge of enhancement in space-time, we present the deformation field which is described by free deformation model based on B-spline and the displacement field of free-form deformation control points, and model by the Markov random field (MRF) model. We adopt the residual complexity (RC) based on the Gaussian kernel as the image similarity measure. The optimization of discrete MRF energy is quickly completed by Fast-PD algorithm, which can achieve the solution of deformation field. Finally, the solution of deformation field is used to correct the motion of time sequence images. The experimental results on synthetic and real images demonstrated the proposed method could provide high registration accuracy.
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Key words: breast tumor, DCE-MRI, image registration, Markov Random Field model, residual complexity

CLC Number:

TP391.72

YU Li-ling1，XU Bin-feng1，JIN Hao-yu1，YANG Wei2. Images Registration of Breast DCE-MRI by Markov Random Field[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2015.11.016.

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