产前胎儿脑弥散MRI：方法学范围回顾。

IF 4.5 2区医学 Q1 NEUROIMAGING

NeuroImage Pub Date : 2025-09-10 DOI:10.1016/j.neuroimage.2025.121453

M. Di Stefano , T. Ciceri , A. Leemans , S.M.C. de Zwarte , A. De Luca , D. Peruzzo

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引用次数: 0

摘要

背景：胎儿弥散加权磁共振成像（dMRI）是评估孕期白质纤维组织、微观结构和发育的一种有前景的方法。在过去的二十年中，使用该技术的研究显著增加，但尚未就如何在临床和研究环境中最好地实施和标准化胎儿dMRI的使用达成共识。目的：本综述旨在综合分析胎儿dMRI脑数据的各种方法及其应用。方法：从5个主要领域(1)数据集、(2)采集协议、(3)图像预处理/去噪、（4)图像处理/建模、(5)脑图谱构建）共检索了54篇相关文章，并对其进行了分析。结果：对这些文章的回顾显示，主要依赖于扩散张量成像（DTI）（n=37）来研究纤维特性，以及确定性纤维束造影方法来研究纤维组织（n=23）。然而，有一种新兴的趋势是采用更先进的技术来解决胎儿dMRI的固有局限性（例如母体和胎儿的运动，强度伪影，胎儿的快速和不均匀发育），特别是通过应用基于人工智能的方法（n=8）。在我们看来，结果表明胎儿脑dMRI的潜力受到提出的解决方案的方法学异质性和缺乏公开可用的数据和工具的阻碍。然而，临床应用证明了它在研究健康和病理条件下的大脑发育方面的效用。

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Diffusion MRI of the prenatal fetal brain: a methodological scoping review

Background

Fetal diffusion-weighted Magnetic Resonance Imaging (dMRI) represents a promising modality for the assessment of white matter fiber organization, microstructure and development during pregnancy. Over the past two decades, research using this technology has significantly increased, but no consensus has yet been established on how to best implement and standardize the use of fetal dMRI across clinical and research settings.

Aims

This scoping review aims to synthesize the various methodological approaches for the analysis of fetal dMRI brain data and their applications.

Methods

We identified a total of 54 relevant articles and analyzed them across five primary domains: (1) datasets, (2) acquisition protocols, (3) image preprocessing/denoising, (4) image processing/modeling, and (5) brain atlas construction.

Results

The review of these articles reveals a predominant reliance on Diffusion Tensor Imaging (DTI) (n = 37) to study fiber properties, and deterministic tractography approaches to investigate fiber organization (n = 23). However, there is an emerging trend towards the adoption of more advanced techniques that address the inherent limitations of fetal dMRI (e.g. maternal and fetal motion, intensity artifacts, fetus’s fast and uneven development), particularly through the application of artificial intelligence-based approaches (n = 8). In our view, the results suggest that the potential of fetal brain dMRI is hindered by the methodological heterogeneity of the proposed solutions and the lack of publicly available data and tools. Nevertheless, clinical applications demonstrate its utility in studying brain development in both healthy and pathological conditions.

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来源期刊

NeuroImage 医学-核医学

CiteScore

11.30

自引率

10.50%

发文量

809

审稿时长

63 days

期刊介绍： NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.