MR‐based electrical property tomography using a physics‐informed network at 3 and 7 T

Author:

Zheng Mengxuan12,Lou Feiyang23,Huang Yiman24,Pan Sihong24,Zhang Xiaotong12345ORCID

Affiliation:

1. Interdisciplinary Institute of Neuroscience and Technology, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science Zhejiang University Hangzhou China

2. MOE Frontier Science Center for Brain Science and Brain–Machine Integration Zhejiang University Hangzhou China

3. School of Medicine Zhejiang University Hangzhou China

4. College of Electrical Engineering Zhejiang University Hangzhou China

5. Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou China

Abstract

Magnetic resonance electrical propert tomography promises to retrieve electrical properties (EPs) quantitatively and non‐invasively in vivo, providing valuable information for tissue characterization and pathology diagnosis. However, its clinical implementation has been hindered by, for example, B1 measurement accuracy, reconstruction artifacts resulting from inaccuracies in underlying models, and stringent hardware/software requirements. To address these challenges, we present a novel approach aimed at accurate and high‐resolution EPs reconstruction based on water content maps by using a physics‐informed network (PIN‐wEPT). The proposed method utilizes standard clinical protocols and conventional multi‐channel receive arrays that have been routinely equipped in clinical settings, thus eliminating the need for specialized RF sequence/coil configurations. Compared with the original wEPT method, the network generates accurate water content maps that effectively eliminate the influence of and by incorporating data mismatch with electrodynamic constraints derived from the Helmholtz equation. Subsequent regression analysis develops a broad relationship between water content and EPs across various types of brain tissue. A series of numerical simulations was conducted at 7 T to assess the feasibility and performance of the method, which encompassed four normal head models and models with tumorous tissues incorporated, and the results showed normalized mean square error below 1.0% in water content, below 11.7% in conductivity, and below 1.1% in permittivity reconstructions for normal brain tissues. Moreover, in vivo validations conducted over five healthy subjects at both 3 and 7 T showed reasonably good consistency with empirical EPs values across the white matter, gray matter, and cerebrospinal fluid. The PIN‐wEPT method, with its demonstrated efficacy, flexibility, and compatibility with current MRI scanners, holds promising potential for future clinical application.

Funder

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Zhejiang Province

Government of Jiangsu Province

Special Project for Research and Development in Key areas of Guangdong Province

Publisher

Wiley

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