首个开源工具箱，让4D血流磁共振精准分析左心房血流动力学。
A Computational Pipeline for Advanced Analysis of 4D Flow MRI in the Left Atrium
- 开发专用计算框架，支持跨中心、多设备数据的自动分割与分析。
- 自动化分割准确率高（Dice>0.9，Hausdorff 95<3mm），少量数据即可训练。
- 首次系统评估左心房能量、涡度和压力参数，探索其作为预后标志物潜力。
左心房（LA）在调节左室充盈中起关键作用，但传统超声分析受限，对其中血流动力学的理解不足。4D Flow MRI有望提升对此类机制的认知，然而左心房内流速低、空间分辨率有限，且缺乏专用计算框架，加上不同采集协议与厂商差异，导致难以建立大规模队列研究其血流动力学参数的预后价值。本研究提出首个专用于左心房4D Flow MRI分析的开源计算框架，可实现高级血流参数的定性与定量分析。该框架对多中心、不同质量数据具有鲁棒性，即使训练数据有限，仍能实现高精度自动分割（Dice > 0.9，Hausdorff 95 < 3 mm）。此外，我们首次全面评估了多种疾病状态下左心房的能量、涡度与压力参数，探讨其作为预后生物标志物的潜力。
原文摘要 · Abstract (English)
The left atrium (LA) plays a pivotal role in modulating left ventricular filling, but our comprehension of its hemodynamics is significantly limited by the constraints of conventional ultrasound analysis. 4D flow magnetic resonance imaging (4D Flow MRI) holds promise for enhancing our understanding of atrial hemodynamics. However, the low velocities within the LA and the limited spatial resolution of 4D Flow MRI make analyzing this chamber challenging. Furthermore, the absence of dedicated computational frameworks, combined with diverse acquisition protocols and vendors, complicates gathering large cohorts for studying the prognostic value of hemodynamic parameters provided by 4D Flow MRI. In this study, we introduce the first open-source computational framework tailored for the analysis of 4D Flow MRI in the LA, enabling comprehensive qualitative and quantitative analysis of advanced hemodynamic parameters. Our framework proves robust to data from different centers of varying quality, producing high-accuracy automated segmentations (Dice $>$ 0.9 and Hausdorff 95 $<$ 3 mm), even with limited training data. Additionally, we conducted the first comprehensive assessment of energy, vorticity, and pressure parameters in the LA across a spectrum of disorders to investigate their potential as prognostic biomarkers.
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