胎儿扩散MRI的先进框架:动态畸变和运动校正。

Haykel Snoussi, Davood Karimi, Onur Afacan, Mustafa Utkur, Ali Gholipour
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引用次数: 0

摘要

扩散磁共振成像(dMRI)是研究发育中的胎儿大脑微观结构的必要手段。然而,胎儿在扫描过程中的运动及其与磁场不均匀性的相互作用会导致伪影放大和数据散射,从而影响dMRI分析的一致性。这项工作介绍了HAITCH,一个新颖的开源框架,用于从具有挑战性的胎儿扫描中校正和重建高角度分辨率的dMRI数据。我们的多阶段方法采用了优化的多壳设计,以增加信息捕获和运动容限,用于动态失真校正的双回波多壳采集,用于鲁棒和无模型重建的高级运动校正,以及用于提高重建保真度的离群值检测。对真实胎儿dMRI扫描的验证实验表明,在不同的胎儿年龄和运动水平上,有显著的改善和准确的纠正。HAITCH有效地去除伪影,重建高保真的dMRI数据,适用于先进的扩散建模和示踪成像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced Framework for Fetal Diffusion MRI: Dynamic Distortion and Motion Correction.

Diffusion magnetic resonance imaging (dMRI) is essential for studying the microstructure of the developing fetal brain. However, fetal motion during scans and its interaction with magnetic field inhomo-geneities lead to amplified artifacts and data scattering, compromising the consistency of dMRI analysis. This work introduces HAITCH, a novel open-source framework for correcting and reconstructing high-angular resolution dMRI data from challenging fetal scans. Our multi-stage approach incorporates an optimized multi-shell design for increased information capture and motion tolerance, a blip-reversed dual-echo multi-shell acquisition for dynamic distortion correction, advanced motion correction for robust and model-free reconstruction, and outlier detection for improved reconstruction fidelity. Validation experiments on real fetal dMRI scans demonstrate significant improvements and accurate correction across diverse fetal ages and motion levels. HAITCH effectively removes artifacts and reconstructs high-fidelity dMRI data suitable for advanced diffusion modeling and tractography.

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