Ultrasound-Magnetic Resonance Imaging Fusion Scheme Based on Non-Negative Matrix Factorization and Dual Modality Contrast Agent

Author:

Hou Mo1,Yang Maoyun1,Yang Ruibo2,Ren Shijin1,Wang Shumei1,Wang Nana1,Xu Bin3,Yu Wenhua34

Affiliation:

1. School of Computer Science and Technology, Jiangsu Normal University, Xuzhou 221116, P. R. China

2. The First Clinical Medical College of Nanjing, Medical University, Nanjing 211166, P. R. China

3. School of Mathematics Science, Jiangsu Normal University, Xuzhou 221116, P. R. China

4. Key Laboratory of Education Big Data Science and Engineering, Jiangsu Normal University, Xuzhou 221116, P. R. China

Abstract

In order to realize the image fusion and improve the quality of the integration, with the aid of dual modality contrast agent (DMCA), a novel fusion method between ultrasound imaging (US) and magnetic resonance imaging (MRI) was put forward in this paper. Due to US’s strong speckle noise, it was an enormous challenge to fuse US with any other modality images. Under the circumstances, DMCA was used in both US and MRI to strengthen the most important information region of interest. Then, because of Rayleigh distribution of US, a self-adaptive weighted non-negative matrix factorization (SWNMF) scheme is constructed to complete the fusion process. In view of the above-mentioned method, the multiple group comparison tests indicated that US-MRI fusion may be a remarkable method for gaining high-quality fusion image.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computational Mathematics,Computer Science (miscellaneous)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Vectorized Regularization Method for Multivalued Parameters Identification;International Journal of Computational Methods;2019-07-26

2. Preface — Computational Modeling for Cardiovascular Disease and Biological Applications;International Journal of Computational Methods;2019-03-17

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3