The Resource The Anatomical Tracings of Lesions after Stroke (ATLAS) Dataset - Release 1.2, 2018
The Anatomical Tracings of Lesions after Stroke (ATLAS) Dataset - Release 1.2, 2018
Resource Information
The item The Anatomical Tracings of Lesions after Stroke (ATLAS) Dataset - Release 1.2, 2018 represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Bowdoin College Library.This item is available to borrow from 1 library branch.
Resource Information
The item The Anatomical Tracings of Lesions after Stroke (ATLAS) Dataset - Release 1.2, 2018 represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Bowdoin College Library.
This item is available to borrow from 1 library branch.
- Summary
- To access this data collection, please click on the Restricted Data button above. You will need to download and complete the <a href="https://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/36684/versions/V2/datasets/1/files/1242697/downloadDoc/doc?path=/pcms/studies/0/3/6/6/36684/V2/files/1242697">data use agreement</a> and then email it to icpsr-addep@umich.edu. The instructions are in the form. The Anatomical Tracings of Lesions After Stroke (ATLAS) Dataset - Release 1.2 is an open-source data collection consisting a total of 304 T1-weighted MRIs (Magnetic Resonance Imaging) with manually segmented diverse lesions and metadata. The goal of ATLAS is to provide the research community with a standardized training and testing dataset for lesion segmentation algorithms on T1-weighted MRIs. From 11 cohorts worldwide, 304 MRI images were collected from research groups in the ENIGMA Stroke Recovery Working Group consortium. Images consisted of T1-weighted anatomical MRIs of individuals after stroke. For each MRI, brain lesions were identified and masks were manually drawn on each individual brain in native space using <a href="http://people.cas.sc.edu/rorden/mricron/index.html">MRIcron</a>, an open-source tool for brain imaging visualization and defining volumes of interest. A minimum of one lesion mask was identified for each individual MRI. If additional, separate lesions were identified, they were traced as separate masks. A separate tracer performed quality control on each lesion mask. This included assessing the accuracy of the lesion segmentations, revising the lesion mask if needed, and categorizing the lesions to generate additional data such as lesion location. In addition, an expert neuroradiologist reviewed all lesions to provide additional qualitative descriptions of the type of stroke, vascular territory, and intensity of white matter disease. This dataset is provided in both native subject space and normalized to a standard template (the MNI-152 template)
- Note
-
- 2018
- 36684
- Label
- The Anatomical Tracings of Lesions after Stroke (ATLAS) Dataset - Release 1.2, 2018
- Title
- The Anatomical Tracings of Lesions after Stroke (ATLAS) Dataset - Release 1.2, 2018
- Summary
- To access this data collection, please click on the Restricted Data button above. You will need to download and complete the <a href="https://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/36684/versions/V2/datasets/1/files/1242697/downloadDoc/doc?path=/pcms/studies/0/3/6/6/36684/V2/files/1242697">data use agreement</a> and then email it to icpsr-addep@umich.edu. The instructions are in the form. The Anatomical Tracings of Lesions After Stroke (ATLAS) Dataset - Release 1.2 is an open-source data collection consisting a total of 304 T1-weighted MRIs (Magnetic Resonance Imaging) with manually segmented diverse lesions and metadata. The goal of ATLAS is to provide the research community with a standardized training and testing dataset for lesion segmentation algorithms on T1-weighted MRIs. From 11 cohorts worldwide, 304 MRI images were collected from research groups in the ENIGMA Stroke Recovery Working Group consortium. Images consisted of T1-weighted anatomical MRIs of individuals after stroke. For each MRI, brain lesions were identified and masks were manually drawn on each individual brain in native space using <a href="http://people.cas.sc.edu/rorden/mricron/index.html">MRIcron</a>, an open-source tool for brain imaging visualization and defining volumes of interest. A minimum of one lesion mask was identified for each individual MRI. If additional, separate lesions were identified, they were traced as separate masks. A separate tracer performed quality control on each lesion mask. This included assessing the accuracy of the lesion segmentations, revising the lesion mask if needed, and categorizing the lesions to generate additional data such as lesion location. In addition, an expert neuroradiologist reviewed all lesions to provide additional qualitative descriptions of the type of stroke, vascular territory, and intensity of white matter disease. This dataset is provided in both native subject space and normalized to a standard template (the MNI-152 template)
- http://library.link/vocab/creatorName
-
- Liew, Sook-Lei
- Inter-university Consortium for Political and Social Research [distributor]
- Label
- The Anatomical Tracings of Lesions after Stroke (ATLAS) Dataset - Release 1.2, 2018
- Note
-
- 2018
- 36684
- Control code
- ICPSR36684.v3
- Governing access note
- Access restricted to subscribing institutions
- Label
- The Anatomical Tracings of Lesions after Stroke (ATLAS) Dataset - Release 1.2, 2018
- Note
-
- 2018
- 36684
- Control code
- ICPSR36684.v3
- Governing access note
- Access restricted to subscribing institutions
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