BrainWeb: 20 Anatomical Models of 20 Normal Brains

Each anatomical model consists of a set of 3-dimensional "fuzzy" tissue membership volumes, one for each tissue class: Background, CSF, Gray Matter, White Matter, Fat, Muscle, Muscle/Skin, Skull, Blood vessels, Connective (region around fat), dura matter and bone marrow.

Note: Some differences exist between these models classes and our earlier model classes: There is no longer a separate class for glial matter, and three new classes are added: blood vessels, dura matter, and bone marrow

The voxel values in these volumes reflects the proportion of that tissue type present in that voxel, in the range [0,1]. In addition to the fuzzy tissue membership volumes, a discrete anatomical model is provided which consists of a class label (integer) at each voxel, representing the tissue which contributes the most to that voxel (0=Background, 1=CSF, 2=Gray Matter, 3=White Matter, 4=Fat, 5=Muscle, 6=Muscle/Skin, 7=Skull, 8=vessels, 9=around fat, 10 =dura matter, 11=bone marrow).

Subject Number:
Discrete Model: [View] [Download]
Fuzzy Models:
Background [View] [Download]
CSF [View] [Download]
Grey Matter [View] [Download]
White Matter [View] [Download]
Fat [View] [Download]
Muscle [View] [Download]
Muscle / Skin [View] [Download]
Skull [View] [Download]
Vessels [View] [Download]
Connective [View] [Download]
Dura [View] [Download]
Marrow [View] [Download]

MRI Simulations

These models will be added soon to the Custom MRI Simulations. For the moment, it is only possible to have a set of T1-weighted simulated data with these specific parameters: SFLASH (spoiled FLASH) sequence with TR=22ms, TE=9.2ms, flip angle=30 deg and 1 mm isotropic voxel size.

Simulated T1 image [View] [Download]


  • B. Aubert-Broche, D.L. Collins, A.C. Evans: "A new improved version of the realistic digital brain phantom"
    NeuroImage, in review - 2006.
  • B. Aubert-Broche, M. Griffin, G.B. Pike, A.C. Evans and D.L. Collins: "20 new digital brain phantoms for creation of validation image data bases"
    IEEE TMI, in review - 2006