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帕金森病群体的多对比度无偏平均磁共振成像模板数据集。

A dataset of multi-contrast unbiased average MRI templates of a Parkinson's disease population.

作者信息

Madge Victoria, Fonov Vladimir S, Xiao Yiming, Zou Lucy, Jackson Courtney, Postuma Ronald B, Dagher Alain, Fon Edward A, Collins D Louis

机构信息

Montreal Neurological Institute, McGill University, Montreal, QC, Canada.

Concordia University, Montreal, QC, Canada.

出版信息

Data Brief. 2023 Apr 12;48:109141. doi: 10.1016/j.dib.2023.109141. eCollection 2023 Jun.

Abstract

Parkinson's disease (PD) is a complex neurodegenerative disorder affecting regions such as the substantia nigra (SN), red nucleus (RN) and locus coeruleus (LC). Processing MRI data from patients with PD requires anatomical structural references for spatial normalization and structural segmentation. Extending our previous work, we present multi-contrast unbiased MRI templates using nine 3T MRI modalities: T1w, T2w, T1-T2 fusion, R2*, T2w, PDw, fluid-attenuated inversion recovery (FLAIR), susceptibility-weighted imaging, and neuromelanin-sensitive MRI (NM). One mm isotropic voxel size templates were created, along with 0.5 mm isotropic whole brain templates and 0.3 mm isotropic templates of the midbrain. All templates were created from 126 PD patients (44 female; ages=40-87), and 17 healthy controls (13 female; ages=39-84), except the NM template, which was created from 85 PD patients and 13 controls, respectively. The dataset is available on the NIST MNI Repository via the following link: http://nist.mni.mcgill.ca/multi-contrast-pd126-and-ctrl17-templates/. The data is also available on NITRC at the following link: https://www.nitrc.org/projects/pd126/.

摘要

帕金森病(PD)是一种复杂的神经退行性疾病,会影响诸如黑质(SN)、红核(RN)和蓝斑(LC)等区域。处理帕金森病患者的MRI数据需要用于空间归一化和结构分割的解剖结构参考。在我们之前工作的基础上,我们使用九种3T MRI模态呈现了多对比度无偏MRI模板:T1加权像(T1w)、T2加权像(T2w)、T1 - T2融合像、R2图、T2加权像(T2w)、质子密度加权像(PDw)、液体衰减反转恢复序列(FLAIR)、磁敏感加权成像以及神经黑色素敏感MRI(NM)。创建了体素大小为1毫米各向同性的模板,以及全脑0.5毫米各向同性模板和中脑0.3毫米各向同性模板。除NM模板分别由85例帕金森病患者和13例对照创建外,所有模板均由126例帕金森病患者(44例女性;年龄40 - 87岁)和17例健康对照(13例女性;年龄39 - 84岁)创建。该数据集可通过以下链接在NIST MNI存储库获取:http://nist.mni.mcgill.ca/multi-contrast-pd126-and-ctrl17-templates/。该数据也可通过以下链接在NITRC获取:https://www.nitrc.org/projects/pd126/。

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