Stitcher: A Surface Reconstruction Tool for Highly Gyrified Brains.

IF 2.7 4区 医学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Neuroinformatics Pub Date : 2024-10-01 Epub Date: 2024-10-10 DOI:10.1007/s12021-024-09678-2
Heitor Mynssen, Kamilla Avelino-de-Souza, Khallil Chaim, Vanessa Lanes Ribeiro, Nina Patzke, Bruno Mota
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引用次数: 0

Abstract

Brain reconstruction, specially of the cerebral cortex, is a challenging task and even more so when it comes to highly gyrified brained animals. Here, we present Stitcher, a novel tool capable of generating such surfaces utilizing MRI data and manual segmentation. Stitcher makes a triangulation between consecutive brain slice segmentations by recursively adding edges that minimize the total length and simultaneously avoid self-intersection. We applied this new method to build the cortical surfaces of two dolphins: Guiana dolphin (Sotalia guianensis), Franciscana dolphin (Pontoporia blainvillei); and one pinniped: Steller sea lion (Eumetopias jubatus). Specifically in the case of P. blainvillei, two reconstructions at two different resolutions were made. Additionally, we also performed reconstructions for sub and non-cortical structures of Guiana dolphin. All our cortical mesh results show remarkable resemblance with the real anatomy of the brains, except P. blainvillei with low-resolution data. Sub and non-cortical meshes were also properly reconstructed and the spatial positioning of structures was preserved with respect to S. guianensis cerebral cortex. In a comparative perspective between methods, Stitcher presents compatible results for volumetric measurements when contrasted with other anatomical standard tools. In this way, Stitcher seems to be a viable pipeline for new neuroanatomical analysis, enhancing visualization and descriptions of non-primates species, and broadening the scope of compared neuroanatomy.

Stitcher:高度回旋大脑的表面重建工具
大脑重建,尤其是大脑皮层的重建,是一项极具挑战性的任务,而对于高度回旋的大脑动物来说更是如此。在这里,我们展示了 Stitcher,一种能够利用核磁共振成像数据和手动分割生成此类曲面的新型工具。Stitcher 通过递归添加边缘,使总长度最小化,同时避免自交,从而在连续的大脑切片分割之间形成三角剖面。我们应用这种新方法构建了两种海豚的皮层表面:Guiana dolphin (Sotalia guianensis) 和 Franciscana dolphin (Pontoporia blainvillei):斯特勒海狮(Eumetopias jubatus)。特别是对于 P. blainvillei,我们以两种不同的分辨率进行了两次重建。此外,我们还对圭亚那海豚的皮层下和非皮层结构进行了重建。除了低分辨率数据的 P. blainvillei 外,我们所有的皮层网格结果都与大脑的真实解剖结构非常相似。皮质下和非皮质网状结构也得到了正确的重建,而且与圭亚那豚大脑皮质相比,结构的空间定位得到了保留。从各种方法的比较角度来看,Stitcher 与其他解剖标准工具相比,在体积测量方面取得了一致的结果。因此,Stitcher 似乎是进行新的神经解剖分析的可行管道,它增强了非原生物种的可视化和描述,并拓宽了比较神经解剖学的范围。
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来源期刊
Neuroinformatics
Neuroinformatics 医学-计算机:跨学科应用
CiteScore
6.00
自引率
6.70%
发文量
54
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.
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