ATLAS v2.0 (A natomical T racings of L esions A fter S troke) 是一个从 MR T1 加权 (T1W) 单模态 图像中对脑中风病灶区域进行分割的数据集，并作为 MICCAI ISLES 2022 挑战赛的一部分。 T1W MRI 提供了出色的空间分辨率，并且是配准其他模态图像所必需的，因此它成为中风康复研究中的首选。 虽然如 T2 加权或 FLAIR 成像这样的其他模态有助于更全面地识别病变，但由于MRI的扫描时间限制和研究者的具体需求，它们可能不会被常规收集，这使T1W MRI成为了单模态的首 …

Current automated lesion segmentation methods for T1-weighted (T1w) MRIs, commonly used in rehabilitation research, lack accuracy and reliability. Manual segmentation remains the gold standard, but it is time-consuming, subjective, and requires significant neuroanatomical expertise.

Here we present ATLAS v2.0 (n=955), a larger dataset of stroke T1-weighted MRIs and lesion masks that includes both training (public) and test (hidden) data. Algorithm development using this larger sample should lead to more robust solutions, and the hidden test data allows for unbiased performance evaluation via web-based challenges.

2022年6月16日 · Here we present ATLAS v2.0 (N = 1271), a larger dataset of T1w MRIs and manually segmented lesion masks that includes training (n = 655), test (hidden masks, n = 300), and generalizability...

Accurate lesion segmentation is critical in stroke rehabilitation research for the quantification of lesion burden and accurate image processing. Current automated lesion segmentation methods for T1-weighted (T1w) MRIs, commonly used in rehabilitation research, lack …

Here we present ATLAS v2.0 (N=955), a larger dataset of T1w stroke MRIs and manually segmented lesion masks that includes both training (public) and test (hidden) data.

FreeSurfer should be ran first for atlases ends with _T1w. See atlases/atlas_config_docker.json for details. -sm [int]：smoothing kernel size (6 mm by default). -no_sample_mask: mandatory control to keep input and output BOLD have same time-series dimensions. Only in clean_img mode and without motion censoring.

2022年6月1日 · Creation of spatio-temporal volumetric atlas of the infant brain (0–24 months) using 542 longitudinal T1w and T2w scans from 240 developing infants. Includes components: group-representative T1w and T2w images, tissue probability maps, tissue segmentation maps, cortical parcellation map, and subcortical labels.

This set of multi-contrast population-averaged PD brain atlas contains 5 different image contrasts: T1w ( FLASH & MPRAGE), T2*w, T1–T2* fusion, phase, and an R2* map. Probabilistic tissue maps of whiter matter, grey matter, and cerebrospinal fluid are provided for the atlas.

Tools for applying the CIT168 atlas to individual MRI data. The bash scripts provided here are wrappers for a combination of FSL and ANTs commands which map individual T1w and/or T2w structural images to most high SNR midspace templates, including MNI/ICBM152 and …