This data set is released for academic research use only.


The MMM-21 (Manual annotation on MIDAS_MRA 21 images) is a dataset with manual annotation only. In each case, ~1600 landmarks were labeled, of which ~1000 and ~600 were annotations on vascular and non-vascular regions, respectively.
Link to MIDAS_MRA Images:
ALL the labels of each case are saved as two individual.mps files, which can be read by MITK or MATLAB, these two files are:
  • Points on vessels: N001P, N002P…
  • Non-vessel points: N001N, N002N…
The following figures demonstrate the manual annotation applied on axial, sagittal, coronal and 3D view. Yellow indicates thenon-vessel points, and green shows the vessel points. 


Please refer to our papers below for more details of ourdataset.
  • Yitian Zhao, Yalin Zheng, YonghuaiLiu, Yifan Zhao, Lingling Luo, Siyuan Yang, Tong Na, Yongtian Wang, and JiangLiu. Automatic 2D/3D Vessel Enhancement in Multiple Modality Images Using aWeighted Symmetry Filter, IEEE Transactions on Medical Imaing,DOI10.1109/TMI.2017.2756073, 2017
  • Lingling Luo, Yitian Zhao, JianYang, Yalin Zheng, Danni Ai, Yongtian Wang, Cerebral Vascular Enhancement Usinga Weighted 3D Symmetry Filter. Proceedings of International Symposium onBiomedical Imaging (ISBI 2017), Melbourne, Australia, 1945-8452, 2017.


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