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

亥姆霍兹自由能 一致性(知识库) 财产(哲学) 断层摄影术 介电常数 软件 均方误差 含水量 算法 生物医学工程 物理 计算机科学 人工智能 医学 数学 电介质 哲学 统计 认识论 光学 光电子学 岩土工程 量子力学 程序设计语言 工程类
作者
Mengxuan Zheng,Feiyang Lou,Yiman Huang,Sihong Pan,Xiaotong Zhang
出处
期刊:NMR in Biomedicine [Wiley]
卷期号:37 (8)
标识
DOI:10.1002/nbm.5137
摘要

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, B 1 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.
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