1NIPY_DIAGNOSE(1) User Commands NIPY_DIAGNOSE(1)
2
3
4
6 nipy_diagnose – Calculate and write results for diagnostic screen
7
9 nipy_diagnose [-h] [--out-path OUT_PATH] [--out-fname-la‐
10 bel OUT_FNAME_LABEL] [--ncomponents NCOMPONENTS]
11 [--time-axis TIME_AXIS] [--slice-axis SLICE_AXIS] filename
12
14 nipy_diagnose(1) will generate a series of diagnostic images for a 4D
15 fMRI image volume. The following images will be generated. <ext> is
16 the input filename extension (e.g. ‘.nii’):
17
18 • components_<label>.png : plots of PCA basis vectors
19
20 • max_<label><ext> : max image
21
22 • mean_<label><ext> : mean image
23
24 • min_<label><ext> : min image
25
26 • pca_<label><ext> : 4D image of PCA component images
27
28 • pcnt_var_<label>.png : percent variance scree plot for PCA
29 components
30
31 • std_<label><ext> : standard deviation image
32
33 • tsdiff_<label>.png : time series diagnostic plot
34
35 The filenames for the outputs are of the form <out-path>/<some_pre‐
36 fix><label><file-ext> where <out-path> is the path specified by the
37 --out-path option, or the path of the input filename; <some_prefix> are
38 the standard prefixes above, <label> is given by --out-label, or by the
39 filename of the input image (with path and extension removed), and
40 <file-ext> is ‘.png’ for graphics, or the extension of the input file‐
41 name for volume images. For example, specifying only the input file‐
42 name /some/path/fname.img will generate filenames of the form
43 /some/path/components_fname.png, /some/path/max_fname.img etc.
44
46 POSITIONAL ARGUMENTS
47 filename
48 4D image filename
49
50 OPTIONAL ARGUMENTS
51 -h, --help
52 Show a help message and exit
53
54 --out-path OUT_PATH
55 Path for output image files
56
57 --out-fname-label OUT_FNAME_LABEL
58 Mid part of output image filenames
59
60 --ncomponents NCOMPONENTS
61 Number of PCA components to write
62
63 --time-axis TIME_AXIS
64 Image axis for time
65
66 --slice-axis TSLICE_AXIS
67 Image axis for slice
68
70 nipy_3dto4d(1), nipy_4d_realign(1), nipy_4dto3d(1), nipy_tsdiffana(1)
71
72
73
74 February 2023 NIPY_DIAGNOSE(1)