NIFTI1_INTENT_CODES
NIFTI1_INTENT_CODES
nifti1 intent codes, to describe intended meaning of dataset contents.
More...
Detailed Description
nifti1 intent codes, to describe intended meaning of dataset contents.
Define Documentation
|
#define NIFTI_FIRST_STATCODE 2
|
|
|
|
Smallest intent_code that indicates a statistic. |
|
#define NIFTI_INTENT_BETA 7
|
|
|
|
[C2, chap 25] Beta distribution (2 params): p1=a, p2=b. Density(x) proportional to x^(a-1) * (1-x)^(b-1). |
|
#define NIFTI_INTENT_BINOM 8
|
|
|
|
[U, chap 3] Binomial distribution (2 params): p1 = number of trials, p2 = probability per trial. Prob(x) = (p1 choose x) * p2^x * (1-p2)^(p1-x), for x=0,1,...,p1. |
|
#define NIFTI_INTENT_CHI 19
|
|
|
|
[C1, chap 18] Chi distribution (1 param): p1 = DOF. Density(x) proportional to x^(p1-1) * exp(-x^2/2) for x > 0. p1 = 1 = 'half normal' distribution p1 = 2 = Rayleigh distribution p1 = 3 = Maxwell-Boltzmann distribution. |
|
#define NIFTI_INTENT_CHISQ 6
|
|
|
|
[C1, chap 18] Chi-squared (1 param): p1 = DOF. Density(x) proportional to exp(-x/2) * x^(p1/2-1). |
|
#define NIFTI_INTENT_CHISQ_NONC 13
|
|
|
|
[C2, chap 29] Noncentral chi-squared statistic (2 params): p1 = DOF, p2 = noncentrality parameter. |
|
#define NIFTI_INTENT_DIMLESS 1011
|
|
|
|
Dimensionless value - no params - although, as in _ESTIMATE the name of the parameter may be stored in intent_name. |
|
#define NIFTI_INTENT_DISPVECT 1006
|
|
|
|
To signify that the vector value at each voxel is to be taken as a displacement field or vector:
- dataset must have a 5th dimension
- intent_code must be NIFTI_INTENT_DISPVECT
- dim[5] must be the dimensionality of the displacment vector (e.g., 3 for spatial displacement, 2 for in-plane)
|
|
#define NIFTI_INTENT_ESTIMATE 1001
|
|
|
|
To signify that the value at each voxel is an estimate of some parameter, set intent_code = NIFTI_INTENT_ESTIMATE. The name of the parameter may be stored in intent_name. |
|
#define NIFTI_INTENT_EXTVAL 21
|
|
|
|
[C2, chap 22] Extreme value type I (2 params): p1 = location, p2 = scale cdf(x) = exp(-exp(-(x-p1)/p2)). |
|
#define NIFTI_INTENT_FTEST 4
|
|
|
|
[C2, chap 27] Fisher F statistic (2 params): p1 = numerator DOF, p2 = denominator DOF. |
|
#define NIFTI_INTENT_FTEST_NONC 12
|
|
|
|
[C2, chap 30] Noncentral F statistic (3 params): p1 = numerator DOF, p2 = denominator DOF, p3 = numerator noncentrality parameter. |
|
#define NIFTI_INTENT_GAMMA 9
|
|
|
|
[C1, chap 17] Gamma distribution (2 params): p1 = shape, p2 = scale. Density(x) proportional to x^(p1-1) * exp(-p2*x). |
|
#define NIFTI_INTENT_GENMATRIX 1004
|
|
|
|
To store an M x N matrix at each voxel:
- dataset must have a 5th dimension (dim[0]=5 and dim[5]>1)
- intent_code must be NIFTI_INTENT_GENMATRIX
- dim[5] must be M*N
- intent_p1 must be M (in float format)
- intent_p2 must be N (ditto)
- the matrix values A[i][[j] are stored in row-order:
- A[0][0] A[0][1] ... A[0][N-1]
- A[1][0] A[1][1] ... A[1][N-1]
- etc., until
- A[M-1][0] A[M-1][1] ... A[M-1][N-1]
|
|
#define NIFTI_INTENT_INVGAUSS 20
|
|
|
|
[C1, chap 15] Inverse Gaussian (2 params): p1 = mu, p2 = lambda Density(x) proportional to exp(-p2*(x-p1)^2/(2*p1^2*x)) / x^3 for x > 0. |
|
#define NIFTI_INTENT_LABEL 1002
|
|
|
|
To signify that the value at each voxel is an index into some set of labels, set intent_code = NIFTI_INTENT_LABEL. The filename with the labels may stored in aux_file. |
|
#define NIFTI_INTENT_LAPLACE 15
|
|
|
|
[C2, chap 24] Laplace distribution (2 params): p1 = location, p2 = scale. Density(x) proportional to exp(-abs(x-p1)/p2). |
|
#define NIFTI_INTENT_LOG10PVAL 24
|
|
|
|
Data is log10(p-value) (no params). |
|
#define NIFTI_INTENT_LOGISTIC 14
|
|
|
|
[C2, chap 23] Logistic distribution (2 params): p1 = location, p2 = scale. Density(x) proportional to sech^2((x-p1)/(2*p2)). |
|
#define NIFTI_INTENT_LOGPVAL 23
|
|
|
|
Data is ln(p-value) (no params). |
|
#define NIFTI_INTENT_NEURONAME 1003
|
|
|
|
To signify that the value at each voxel is an index into the NeuroNames labels set, set intent_code = NIFTI_INTENT_NEURONAME. |
|
#define NIFTI_INTENT_NORMAL 11
|
|
|
|
[C1, chap 13] Normal distribution (2 params): p1 = mean, p2 = standard deviation. |
|
#define NIFTI_INTENT_POINTSET 1008
|
|
|
|
To signify that the vector value at each voxel is really a spatial coordinate (e.g., the vertices or nodes of a surface mesh):
- dataset must have a 5th dimension
- intent_code must be NIFTI_INTENT_POINTSET
- dim[0] = 5
- dim[1] = number of points
- dim[2] = dim[3] = dim[4] = 1
- dim[5] must be the dimensionality of space (e.g., 3 => 3D space).
- intent_name may describe the object these points come from (e.g., "pial", "gray/white" , "EEG", "MEG").
|
|
#define NIFTI_INTENT_POISSON 10
|
|
|
|
[U, chap 4] Poisson distribution (1 param): p1 = mean. Prob(x) = exp(-p1) * p1^x / x! , for x=0,1,2,.... |
|
#define NIFTI_INTENT_PVAL 22
|
|
|
|
Data is a 'p-value' (no params). |
|
#define NIFTI_INTENT_QUATERNION 1010
|
|
|
|
To signify that the vector value at each voxel is a quaternion:
- dataset must have a 5th dimension
- intent_code must be NIFTI_INTENT_QUATERNION
- dim[0] = 5
- dim[5] = 4
- datatype should be a floating point type
|
|
#define NIFTI_INTENT_SYMMATRIX 1005
|
|
|
|
To store an NxN symmetric matrix at each voxel:
- dataset must have a 5th dimension
- intent_code must be NIFTI_INTENT_SYMMATRIX
- dim[5] must be N*(N+1)/2
- intent_p1 must be N (in float format)
- the matrix values A[i][[j] are stored in row-order:
- A[0][0]
- A[1][0] A[1][1]
- A[2][0] A[2][1] A[2][2]
- etc.: row-by-row
|
|
#define NIFTI_INTENT_TRIANGLE 1009
|
|
|
|
To signify that the vector value at each voxel is really a triple of indexes (e.g., forming a triangle) from a pointset dataset:
- dataset must have a 5th dimension
- intent_code must be NIFTI_INTENT_TRIANGLE
- dim[0] = 5
- dim[1] = number of triangles
- dim[2] = dim[3] = dim[4] = 1
- dim[5] = 3
- datatype should be an integer type (preferably DT_INT32)
- the data values are indexes (0,1,...) into a pointset dataset.
|
|
#define NIFTI_INTENT_TTEST 3
|
|
|
|
[C2, chap 28] Student t statistic (1 param): p1 = DOF. |
|
#define NIFTI_INTENT_TTEST_NONC 17
|
|
|
|
[C2, chap 31] Noncentral t statistic (2 params): p1 = DOF, p2 = noncentrality parameter. |
|
#define NIFTI_INTENT_UNIFORM 16
|
|
|
|
[C2, chap 26] Uniform distribution: p1 = lower end, p2 = upper end. |
|
#define NIFTI_INTENT_WEIBULL 18
|
|
|
|
[C1, chap 21] Weibull distribution (3 params): p1 = location, p2 = scale, p3 = power. Density(x) proportional to ((x-p1)/p2)^(p3-1) * exp(-((x-p1)/p2)^p3) for x > p1. |
|
#define NIFTI_INTENT_ZSCORE 5
|
|
|
|
[C1, chap 13] Standard normal (0 params): Density = N(0,1). |
|
#define NIFTI_LAST_STATCODE 24
|
|
|
|
Largest intent_code that indicates a statistic. |
Generated at Wed Mar 23 13:47:17 2005 for nifti1_io by
1.2.8.1 written by Dimitri van Heesch,
© 1997-2001
Created by
Alex Clark
Last modified
2005-04-14 18:42
