Standard MINC Variable Names

• rootvariable - This variable, which is of class group, exists for structural purposes only. It forms the base of the MINC variable hierarchy.
• image - The image variable is of class group. It is the variable which actually contains image data in a MINC file, so it is defined using whatever type and dimensions are required to represent the image. By convention, MINC considers the first spatial dimension of the image variable to be the ``slice'' dimension, and any other spatial dimensions are considered to be ``image'' dimensions. The image variable is the only variable whose presence in a MINC file is mandatory.

• image-min - The image-min variable is of class var-attribute. If per-slice scaling of the image data is enabled, this variable will contain 64-bit floating-point data which provides the lowest value of the real range for each slice. The dimensionality of this and the image-max variable will correspond to the dimensionality of the image variable, omitting the ``image'' dimensions and vector dimension, if used. For example, for typical fMRI data, the image-min variable will be a 2D array with time and the first spatial declared as its dimensions. Note that is is legal for the image-min to have lower dimensionality. For example, the variable may be a scalar to specify a single, global maximum real value.
• image-max - The image-max is the counterpart to the image-min variable. Its use and structure is directly analogous, however it contains the maximum value of the real data range for each data slice.
• study - This variable is of class group. It contains no useful data, but serves only to group those attributes which contain information about the study of which this image is a part. Since the variable contains no data, the type is irrelevant.
• patient - Like the study variable, this variable is of class group and contains no data. It serves to group the attributes which specify the identification and characteristics of the patient.
• acquisition - The acquisition variable is of class group. Like the study and patient variables, the acquisition variable never contains useful data, but serves only to group those attributes which contain information about the image acquisition parameters, modality, etc.
• xspace - Variable of class dimension which groups the attributes specifying the X axis.
• yspace - Variable of class dimension which groups the attributes specifying the Y axis.
• zspace - Variable of class dimension which groups the attributes specifying the Z axis.
• time - Variable of class dimension which groups the attributes specifying the time axis.
• xfrequency - Variable of class dimension which groups the attributes specifying the spatial frequency axis.
• yfrequency - Variable of class dimension which groups the attributes specifying the spatial frequency axis.
• zfrequency - Variable of class dimension which groups the attributes specifying the spatial frequency axis.
• tfrequency - Variable of class dimension which groups the attributes specifying the temporal frequency axis.
• xspace-width - Variable of class dimension-width which groups the attributes specifying the width of samples along the X axis.
• yspace-width - Variable of class dimension-width which groups the attributes specifying the width of samples along the Y axis.
• zspace-width - Variable of class dimension-width which groups the attributes specifying the width of samples along the Z axis.
• time-width - Variable of class dimension-width which groups the attributes specifying the width of samples along the time axis.
• xfrequency-width - Variable of class dimension-width which groups the attributes specifying the width of samples along the spatial frequency axis.
• yfrequency-width - Variable of class dimension-width which groups the attributes specifying the width of samples along the spatial frequency axis.
• zfrequency-width - Variable of class dimension-width which groups the attributes specifying the width of samples along the spatial frequency axis.
• tfrequency-width - Variable of class dimension which groups the attributes specifying the width of samples along the temporal frequency axis.