T1 MRI tissue probability mask

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Inheritance graph

Defined in file : brainvisa/toolboxes/spm/types/MRI_spm.py

Used in the following processes

compute Grey / White / CSF / Skull / Scalp Mask
compute one tissue mask
Intensity normalisation PET Pipeline (spm12)
Intensity normalisation PET Pipeline (spm8)
Optimal PiB Reference Region
Quality control for Pet with MRI Pipeline
ROI based analysis PET Pipeline (spm12)
ROI based analysis PET Pipeline (spm8)

Associated formats

BrainVISA volume formats
gz compressed NIFTI-1 image
NIFTI-1 image

Associated ontology rules

  • brainvisa-3.2.0 :
    • {center}/{subject}/nuclear_imaging/{processing}/{acquisition}/t1mri/{analysis}_from_{segmentation_method}/t1mri_space/<subject>_grey_mask
    {center}/{subject}/nuclear_imaging/{processing}/{acquisition}/t1mri/{analysis}_from_{segmentation_method}/t1mri_space/<subject>_white_mask
    {center}/{subject}/nuclear_imaging/{processing}/{acquisition}/t1mri/{analysis}_from_{segmentation_method}/t1mri_space/<subject>_csf_mask
    {center}/{subject}/nuclear_imaging/{processing}/{acquisition}/t1mri/{analysis}_from_{segmentation_method}/t1mri_space/<subject>_skull_mask
    {center}/{subject}/nuclear_imaging/{processing}/{acquisition}/t1mri/{analysis}_from_{segmentation_method}/t1mri_space/<subject>_scalp_mask
    {center}/{subject}/nuclear_imaging/{processing}/{acquisition}/t1mri/{analysis}_from_{segmentation_method}/pet{tracer}_space/<subject>_grey_mask
    {center}/{subject}/nuclear_imaging/{processing}/{acquisition}/t1mri/{analysis}_from_{segmentation_method}/pet{tracer}_space/<subject>_white_mask
    {center}/{subject}/nuclear_imaging/{processing}/{acquisition}/t1mri/{analysis}_from_{segmentation_method}/pet{tracer}_space/<subject>_csf_mask
    {center}/{subject}/nuclear_imaging/{processing}/{acquisition}/t1mri/{analysis}_from_{segmentation_method}/pet{tracer}_space/<subject>_skull_mask
    {center}/{subject}/nuclear_imaging/{processing}/{acquisition}/t1mri/{analysis}_from_{segmentation_method}/pet{tracer}_space/<subject>_scalp_mask
    {center}/{subject}/nuclear_imaging/{processing}/{acquisition}/t1mri/{analysis}_from_{segmentation_method}/mni{template}_space/<subject>_grey_mask
    {center}/{subject}/nuclear_imaging/{processing}/{acquisition}/t1mri/{analysis}_from_{segmentation_method}/mni{template}_space/<subject>_white_mask
    {center}/{subject}/nuclear_imaging/{processing}/{acquisition}/t1mri/{analysis}_from_{segmentation_method}/mni{template}_space/<subject>_csf_mask
    {center}/{subject}/nuclear_imaging/{processing}/{acquisition}/t1mri/{analysis}_from_{segmentation_method}/mni{template}_space/<subject>_skull_mask
    {center}/{subject}/nuclear_imaging/{processing}/{acquisition}/t1mri/{analysis}_from_{segmentation_method}/mni{template}_space/<subject>_scalp_mask
    {center}/{subject}/longitudinal_preprocessings/spm12Serial/avg_{acquisition_sequence}/{analysis}/<subject>_{acquisition}_to_avg_<acquisition_sequence>_grey_mask
    {center}/{subject}/longitudinal_preprocessings/spm12Pairwise/avg_{acquisition_sequence}/{analysis}/<subject>_{acquisition}_to_avg_<acquisition_sequence>_grey_mask

    Key attributes

  • brainvisa-3.2.0 :
    • center ,  subject ,  processing ,  acquisition ,  analysis ,  segmentation_method ,  tracer ,  tissue_class ,  acquisition_sequence ,  template