2D and 3D registration methods for dual-energy contrast-enhanced digital breast tomosynthesis

Kristen C. Lau; Susan Roth; Andrew D.A. Maidment

doi:10.1117/12.2044080

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19 March 2014 2D and 3D registration methods for dual-energy contrast-enhanced digital breast tomosynthesis

Kristen C. Lau, Susan Roth, Andrew D.A. Maidment

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Proceedings Volume 9033, Medical Imaging 2014: Physics of Medical Imaging; 90335W (2014) https://doi.org/10.1117/12.2044080
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

Contrast-enhanced digital breast tomosynthesis (CE-DBT) uses an iodinated contrast agent to image the threedimensional breast vasculature. The University of Pennsylvania is conducting a CE-DBT clinical study in patients with known breast cancers. The breast is compressed continuously and imaged at four time points (1 pre-contrast; 3 postcontrast). A hybrid subtraction scheme is proposed. First, dual-energy (DE) images are obtained by a weighted logarithmic subtraction of the high-energy and low-energy image pairs. Then, post-contrast DE images are subtracted from the pre-contrast DE image. This hybrid temporal subtraction of DE images is performed to analyze iodine uptake, but suffers from motion artifacts. Employing image registration further helps to correct for motion, enhancing the evaluation of vascular kinetics. Registration using ANTS (Advanced Normalization Tools) is performed in an iterative manner. Mutual information optimization first corrects large-scale motions. Normalized cross-correlation optimization then iteratively corrects fine-scale misalignment. Two methods have been evaluated: a 2D method using a slice-by-slice approach, and a 3D method using a volumetric approach to account for out-of-plane breast motion. Our results demonstrate that iterative registration qualitatively improves with each iteration (five iterations total). Motion artifacts near the edge of the breast are corrected effectively and structures within the breast (e.g. blood vessels, surgical clip) are better visualized. Statistical and clinical evaluations of registration accuracy in the CE-DBT images are ongoing.

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Kristen C. Lau, Susan Roth, and Andrew D.A. Maidment "2D and 3D registration methods for dual-energy contrast-enhanced digital breast tomosynthesis", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90335W (19 March 2014); https://doi.org/10.1117/12.2044080

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