SEPIA 相位图像磁化率映射分析流水线工具

SEPIA-Susceptibility mapping pipeline tool for phase images.

机构信息

Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands.

Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands.

出版信息

Neuroimage. 2021 Feb 15;227:117611. doi: 10.1016/j.neuroimage.2020.117611. Epub 2020 Dec 10.

Abstract

Quantitative susceptibility mapping (QSM) is a physics-driven computational technique that has a high sensitivity in quantifying iron deposition based on MRI phase images. Furthermore, it has a unique ability to distinguish paramagnetic and diamagnetic contributions such as haemorrhage and calcification based on image contrast. These properties have contributed to a growing interest to use QSM not only in research but also in clinical applications. However, it is challenging to obtain high quality susceptibility map because of its ill-posed nature, especially for researchers who have less experience with QSM and the optimisation of its pipeline. In this paper, we present an open-source processing pipeline tool called SuscEptibility mapping PIpeline tool for phAse images (SEPIA) dedicated to the post-processing of MRI phase images and QSM. SEPIA connects various QSM toolboxes freely available in the field to offer greater flexibility in QSM processing. It also provides an interactive graphical user interface to construct and execute a QSM processing pipeline, simplifying the workflow in QSM research. The extendable design of SEPIA also allows developers to deploy their methods in the framework, providing a platform for developers and researchers to share and utilise the state-of-the-art methods in QSM.

摘要

定量磁敏感图(QSM)是一种基于 MRI 相位图像定量铁沉积的物理驱动计算技术,具有很高的灵敏度。此外,它还具有独特的能力,可以根据图像对比度区分顺磁性和抗磁性物质,如出血和钙化。这些特性使得 QSM 不仅在研究中,而且在临床应用中越来越受到关注。然而,由于其不适定的性质,获得高质量的磁化率图具有挑战性,特别是对于那些经验较少的 QSM 研究人员和其管道优化。在本文中,我们提出了一个名为 SuscEptibility mapping PIpeline tool for phAse images(SEPIA)的开源处理管道工具,专门用于 MRI 相位图像和 QSM 的后处理。SEPIA 自由连接各种 QSM 工具箱,为 QSM 处理提供更大的灵活性。它还提供了一个交互式图形用户界面来构建和执行 QSM 处理管道,简化了 QSM 研究中的工作流程。SEPIA 的可扩展设计还允许开发人员在框架中部署他们的方法,为开发人员和研究人员提供了一个共享和利用 QSM 最新方法的平台。

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