LAScarQS 2022(左心房及瘢痕量化与分割挑战赛)是一个专门针对心房颤动(Atrial Fibrillation,AF)患者的数据集,包含晚期钆增强(late gadolinium enhancement,LGE)磁共振成像数据,旨在实现左心房(Left Atrium,LA)和左心房瘢痕(Left Atrial Scar,LA Scar)的精确分割,属于MICCAI 2022挑战赛组成部分。
xinzang维度 | 3D |
模态 | mri |
任务类型 | segmentation |
解剖结构 | 左心房、左心房瘢痕 |
解剖区域 | 心脏 |
类别数 | 1221 |
数据量 | 任务1: 60训练+34测试;任务2: 130训练+64测试 |
文件格式 | .nii.gz |
LAScarQS2022
│
├── task1
│ ├── readme.txt
│ └── train_data
│ ├── train_1
│ │ ├── atriumSegImgMO.nii.gz
│ │ ├── enhanced.nii.gz
│ │ └── scarSegImgM.nii.gz
│ ├── ...
│ └── train_60
│
├── task1_val
│
├── task2
│ ├── readme.txt
│ └── train_data
│ ├── train_1
│ │ ├── atriumSegImgMO.nii.gz
│ │ └── enhanced.nii.gz
│ ├── ...
│ └── train_130
│
└── task2_val
统计类型 | 间距 (mm) | 尺寸 |
---|---|---|
最小值 | (0.625, 0.625, 1.0) |
(576, 576, 44) |
中位值 | (0.625, 0.625, 2.5) |
(640, 640, 44) |
最大值 | (1.0, 1.0, 2.5) |
(640, 640, 88) |
@article{li2022atrialjsqnet,
title={AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information},
author={Li, Lei and Zimmer, Veronika A and Schnabel, Julia A and Zhuang, Xiahai},
journal={Medical image analysis},
volume={76},
pages={102303},
year={2022},
publisher={Elsevier}
}
@article{li2022medical,
title={Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review},
author={Li, Lei and Zimmer, Veronika A and Schnabel, Julia A and Zhuang, Xiahai},
journal={Medical image analysis},
volume={77},
pages={102360},
year={2022},
publisher={Elsevier}
}
@inproceedings{li2021atrialgeneral,
title={AtrialGeneral: domain generalization for left atrial segmentation of multi-center LGE MRIs},
author={Li, Lei and Zimmer, Veronika A and Schnabel, Julia A and Zhuang, Xiahai},
booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2021: 24th International Conference, Strasbourg, France, September 27--October 1, 2021, Proceedings, Part VI 24},
pages={557--566},
year={2021},
organization={Springer}
}