基于2D和3D框架的多中心LGE-MRI双心房分割用于心房颤动
Multicentre Bi-atrial Segmentation from LGE-MRI for Atrial Fibrillation with a 2D and 3D Framework
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中文总结 AI 辅助
本研究提出两阶段分割框架，集成3D定位与2D/3D U-Net变体，在多中心LGE-MRI上评估双心房壁和腔分割，揭示腔分割跨域迁移更稳定，为AF提供可复现基准。
中文摘要 AI 辅助
从晚期钆增强MRI（LGE-MRI）中准确描绘双心房结构是心房颤动（AF）结构分析和未来纤维化量化工作流程的重要前提。然而，由于薄壁解剖结构、跨成像中心的域偏移以及现有方法基准测试有限，自动分割具有挑战性。本研究提出了一个两阶段分割框架和基准测试平台，用于评估ROI定位、编码器设计、2D/3D维度和集成融合如何影响多中心LGE-MRI数据集上的双心房壁和腔分割。该框架集成了使用2D和3D U-Net变体及ResNeXt编码器的3D定位和精细分割，并将其与基于卷积、基于Transformer和状态空间架构进行比较。{在三个独立队列上的评估在不进行目标域微调的情况下评估了准确性和跨域迁移。腔分割在中心间的迁移比心房壁分割更一致，而壁性能对域偏移仍然敏感，特别是在Kobe队列中。}通过量化2D、3D和集成架构在中心间以及壁和腔之间的行为，这项工作为未来的方法开发和临床验证提供了可复现的基准。
英文摘要
Accurate delineation of bi-atrial structures from late gadolinium enhancement MRI (LGE-MRI) is an important prerequisite for structural analysis and future fibrosis-quantification workflows in atrial fibrillation (AF). However, automated segmentation is challenging due to thin-walled anatomy, domain shifts across imaging centres, and limited benchmarking of existing methods. This study presents a two-stage segmentation framework and benchmarking platform for evaluating how ROI localisation, encoder design, 2D/3D dimensionality, and ensemble fusion affect bi-atrial wall and cavity segmentation across multicentre LGE-MRI datasets. The framework integrates 3D localisation and fine segmentation using 2D and 3D U-Net variants with ResNeXt encoders and compares them with convolutional, transformer-based, and state-space architectures. { Evaluation across three independent cohorts assessed accuracy and cross-domain transfer without target-domain fine-tuning. Cavity segmentation transferred more consistently across centres than atrial wall segmentation, while wall performance remained sensitive to domain shift, particularly in the Kobe cohort.} By quantifying how 2D, 3D, and ensemble architectures behave across centres and between walls and cavities, this work provides a reproducible benchmark for future methodological development and clinical validation.
发表机构
- Auckland Bioengineering Institute（奥克兰生物工程研究所）
- The University of Auckland（奥克兰大学）
机构由 AI 辅助整理，请以论文原文为准。
