干旱区生态环境知识资源中心(Arid): Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation

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DOI	10.1016/j.media.2023.102974
	Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation
	Gopinath, Karthik; Desrosiers, Christian; Lombaert, Herve
通讯作者	Gopinath, K
来源期刊	MEDICAL IMAGE ANALYSIS
ISSN	1361-8415
EISSN	1361-8423
出版年	2023
卷号	90
英文摘要	Reconstructing and segmenting cortical surfaces from MRI is essential to a wide range of brain analyses. However, most approaches follow a multi-step slow process, such as a sequential spherical inflation and registration, which requires considerable computation times. To overcome the limitations arising from these multi-steps, we propose SEGREcoN, an integrated end-to-end deep learning method to jointly reconstruct and segment cortical surfaces directly from an MRI volume in one single step. We train a volume-based neural network to predict, for each voxel, the signed distances to multiple nested surfaces and their corresponding spherical representation in atlas space. This is, for instance, useful for jointly reconstructing and segmenting the white-to-gray-matter interface and the gray-matter-to-CSF (pial) surface. We evaluate the performance of our surface reconstruction and segmentation method with a comprehensive set of experiments on the MindBoggle, ABIDE and OASIS datasets. Our reconstruction error is found to be less than 0.52 mm and 0.97 mm in terms of average Hausdorff distance to the FreeSurfer generated surfaces. Likewise, the parcellation results show over 4% improvements in average Dice with respect to FreeSurfer, in addition to an observed drastic speed-up from hours to seconds of computation on a standard desktop station.
英文关键词	Surface reconstruction Cortical parcellation
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001086931400001
WOS关键词	HUMAN CEREBRAL-CORTEX ; THICKNESS
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging
WOS研究方向	Computer Science ; Engineering ; Radiology, Nuclear Medicine & Medical Imaging
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397824
推荐引用方式 GB/T 7714	Gopinath, Karthik,Desrosiers, Christian,Lombaert, Herve. Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation[J],2023,90.
APA	Gopinath, Karthik,Desrosiers, Christian,&Lombaert, Herve.(2023).Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation.MEDICAL IMAGE ANALYSIS,90.
MLA	Gopinath, Karthik,et al."Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation".MEDICAL IMAGE ANALYSIS 90(2023).