ALBA：用于生物医学应用的敏捷库

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-05-16 DOI:10.1016/j.softx.2025.102188

Gianluigi Crimi , Nicola Vanella , Enrico Schileo , Giordano Valente , Giulia Fraterrigo , Fulvia Taddei

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引用次数: 0

摘要

目前还缺乏有效和统一的软件工具来管理计算生物力学研究所需的复杂成像和建模工作流程。敏捷生物医学应用库（ALBA）是一个开源的c++通用框架，可以处理各种数据类型（例如2D和3D图像、曲面、有限元模型、点云、运动分析数据），并提供一个易于扩展的平台，用于快速开发可以管理、可视化和操作生物医学数据的专业应用程序。在计算生物力学、定量图像分析和骨科术前计划的背景下，已经开发了现有的功能。用ALBA构建的软件应用程序引起了科学界的兴趣，目前在原始研究小组内外都被用于骨骼和肌肉骨骼的有限元建模。其他中心进一步采用ALBA可能会增加生物力学界对开放和可重复研究的积极态度的传播，并增加算法和数据的共享。

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ALBA: Agile library for biomedical applications

Efficient and unified software tools to manage the complex imaging and modelling workflows needed for computational biomechanics research are lacking. The Agile Library for Biomedical Applications (ALBA) is an open-source C++ versatile framework that handles various data types (e.g. 2D and 3D images, surfaces, finite element models, point clouds, motion analysis data), and offers an easily extensible platform for the rapid development of specialised applications that can manage, visualise, and manipulate biomedical data. The already available functionalities have been developed in the context of computational biomechanics, quantitative image analysis and pre-operative planning in orthopaedics. Software applications built with ALBA attracted the interest of the scientific community and are currently used, both inside and outside the original research group, in finite element modelling of bones and musculoskeletal modelling. The further ALBA adoption by other centres might increase the spread of a positive attitude towards open and reproducible research in the biomechanical community and increase the sharing of algorithms and data.

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.