Updates to the Melbourne Children's Regional Infant Brain Software Package (M-CRIB-S).

IF 2.7 4区医学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Neuroinformatics Pub Date : 2024-04-01 Epub Date: 2024-03-16 DOI:10.1007/s12021-024-09656-8

Chris L Adamson, Bonnie Alexander, Claire E Kelly, Gareth Ball, Richard Beare, Jeanie L Y Cheong, Alicia J Spittle, Lex W Doyle, Peter J Anderson, Marc L Seal, Deanne K Thompson

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引用次数: 0

Abstract

The delineation of cortical areas on magnetic resonance images (MRI) is important for understanding the complexities of the developing human brain. The previous version of the Melbourne Children's Regional Infant Brain (M-CRIB-S) (Adamson et al. Scientific Reports, 10(1), 10, 2020) is a software package that performs whole-brain segmentation, cortical surface extraction and parcellation of the neonatal brain. Available cortical parcellation schemes in the M-CRIB-S are the adult-compatible 34- and 31-region per hemisphere Desikan-Killiany (DK) and Desikan-Killiany-Tourville (DKT), respectively. We present a major update to the software package which achieves two aims: 1) to make the voxel-based segmentation outputs derived from the Freesurfer-compatible M-CRIB scheme, and 2) to improve the accuracy of whole-brain segmentation and cortical surface extraction. Cortical surface extraction has been improved with additional steps to improve penetration of the inner surface into thin gyri. The improved cortical surface extraction is shown to increase the robustness of measures such as surface area, cortical thickness, and cortical volume.

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更新墨尔本儿童地区婴儿脑软件包（M-CRIB-S）。

磁共振成像（MRI）上皮层区域的划分对于了解人类大脑发育的复杂性非常重要。墨尔本儿童区域婴儿脑（M-CRIB-S）的前一版本（Adamson 等人，《科学报告》，10(1), 10, 2020 年）是一个软件包，可对新生儿大脑进行全脑分割、皮质表面提取和划分。M-CRIB-S 中可用的皮层划分方案分别是与成人兼容的每半球 34 个区域的 Desikan-Killiany（DK）方案和每半球 31 个区域的 Desikan-Killiany-Tourville（DKT）方案。我们对软件包进行了重大更新，以实现两个目标：1）使基于体素的分割输出与 Freesurfer 的 M-CRIB 方案兼容；2）提高全脑分割和皮层表面提取的准确性。皮质表面提取已得到改进，增加了额外的步骤，以提高内表面对薄回旋的穿透力。结果表明，改进后的皮质表面提取提高了表面积、皮质厚度和皮质体积等测量指标的稳健性。

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来源期刊

Neuroinformatics 医学-计算机：跨学科应用

CiteScore

6.00

自引率

6.70%

发文量

审稿时长

3 months

期刊介绍： Neuroinformatics publishes original articles and reviews with an emphasis on data structure and software tools related to analysis, modeling, integration, and sharing in all areas of neuroscience research. The editors particularly invite contributions on: (1) Theory and methodology, including discussions on ontologies, modeling approaches, database design, and meta-analyses; (2) Descriptions of developed databases and software tools, and of the methods for their distribution; (3) Relevant experimental results, such as reports accompanie by the release of massive data sets; (4) Computational simulations of models integrating and organizing complex data; and (5) Neuroengineering approaches, including hardware, robotics, and information theory studies.