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

作　　者：Mo Hou Weiyu Kevin Chiang Weiqiang Hong Maoyun Yang Wenhua Yu 

机构地区：[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

出　　处：《Molecular & Cellular Biomechanics》2020年第4期165-178,共14页分子与细胞生物力学（英文）

基　　金：Xuzhou’s special funds for science and technology innovation(KC18008,2018).

摘　　要：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.

关 键 词：US MRI ACCURACY REGISTRATION DMCA MRGP-AR 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]