The "Brain Imaging Data Structure" (BIDS) has become a widely adopted standard for organizing and sharing neuroimaging datasets of various modalities. However, converting raw brain imaging data into BIDS framework remains a complex and time-consuming task. BIDSme is a semi-automated tool developed to streamline this conversion process, but until recently, it lacked the portability and accessibility needed for widespread adoption. This paper presents the containerization of BIDSme using Docker and Docker Compose, improving usability, reproducibility, and integration into existing platforms like Neurodesk. It also details the design choices, iterative refinements, and validation process that led to a flexible, lightweight, and user-friendly containerized application.

翻译：“脑影像数据结构”（BIDS）已成为广泛采用的标准，用于组织和共享多种模态的神经影像数据集。然而，将原始脑影像数据转换为BIDS框架仍然是一项复杂且耗时的任务。BIDSme是一种半自动化工具，旨在简化这一转换过程，但此前缺乏广泛采用所需的便携性和可访问性。本文介绍了使用Docker和Docker Compose对BIDSme进行容器化的方法，从而提升了易用性、可复现性，以及其与Neurodesk等现有平台的集成能力。文中还详细阐述了设计选择、迭代优化过程以及验证方法，最终实现了一个灵活、轻量且用户友好的容器化应用程序。