Open Access

ARTICLE

Application of Dual Modality Contrast Agent Combined with Multi-Scale Representation in Ultrasound-Magnetic Resonance Imaging Registration Scheme

Mo Hou^1,*, Weiyu Kevin Chiang^2,*, Weiqiang Hong¹, Maoyun Yang¹, Wenhua Yu^3,4

1 School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, 221116, China
2 College of Business, City University of Hong Kong, Hong Kong, 999077, China
3 School of Mathematics Science, Jiangsu Normal University, Xuzhou, 221116, China
4 Key Laboratory of Education Big Data Science and Engineering, Jiangsu Normal University, Xuzhou, 221116, China

* Corresponding Authors: Mo Hou. Email: ; Weiyu Kevin Chiang. Email:

Molecular & Cellular Biomechanics 2020, 17(4), 165-178. https://doi.org/10.32604/mcb.2020.010805

Received 30 March 2020; Accepted 05 June 2020; Issue published 20 October 2020

Abstract

To achieve the image registration/fusion and perfect the quality of the integration, with dual modality contrast agent (DMCA), a novel multi-scale representation registration method between ultrasound imaging (US) and magnetic resonance imaging (MRI) is presented in the paper, and how DMCA influence on registration accuracy is chiefly discussed. Owing to US’s intense speckle noise, it is a tremendous challenge to register US with any other modality images. How to improve the algorithms for US processing has become the bottleneck, and in the short term it is difficult to have a breakthrough. In that case, DMCA is employed in both US and MRI to enhance the region of interest. Then, because multi-scale representation is a strategy that attempts to diminish or eliminate several possible local minima and lead to convex optimization problems to be solved quickly and more efficiently, a multi-scale representation Gaussian pyramid based affine registration (MRGP-AR) scheme is constructed to complete the US-MRI registration process. In view of the above-mentioned method, the comparison tests indicate that US-MRI registration/fusion may be a remarkable method for gaining high-quality registration image. The experiments also show that it is feasible that novel nano-materials combined with excellent algorithm are used to solve some hard tasks in medical image processing field.

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Keywords

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