I would use the matlab GIFTI toolbox to make the GIFTI file. Peace,
Matt. On 5/18/16, 8:48 AM, "Donna Dierker" <[email protected]> wrote: >AFNI might have a way to convert a 1D file to GIFTI label file. Then you >can use wb_command -cifti-create-label. > > >On May 18, 2016, at 6:59 AM, Matthew George Liptrot ><[email protected]> wrote: > >> Thanks Matt! >> But now how do I create a dscalar file from a text file of labels (one >>label ID per line, line number = vertex ID)? >> Looking at the help for "wb_command -cifti-create-dense-scalar² it >>seems I need a "metric² file for each surface but what is the format >>of a metric file? >> >> Cheers, >> >> M@ >> >> On 18/5/16 13:10 , "Glasser, Matthew" <[email protected]> wrote: >> >> You should be running the import command on a dscalar file that has >>your parcellation in it with values that match the keys in your text >>file. >> >> Peace, >> >> Matt. >> >> From: <[email protected]> on behalf of Matthew >>George Liptrot <[email protected]> >> Date: Wednesday, May 18, 2016 at 4:39 AM >> To: HCP Listserv <[email protected]> >> Subject: [HCP-Users] Generating a dlabel.nii file from a new >>parcellation >> >> Hi, >> >> I'm trying to create a CIFTI dlabel.nii file from a novel parcellation >>we have generated from a structural connectivity matrix. However, I seem >>to hit a problem when the number of new clusters is less than those >>present in the template CIFTI file I am using for its header-info. In >>this example below, I want to generate a dlabel file with 68 clusters >>using the Desikan-Killiany dlabel file as a skeleton. >> >> Here are the commands I am using: >> >> wb_command -cifti-label-import 100307.aparc.32k_fs_LR.dlabel.nii >>CIFTI_LUT_ModelA_Clusters68.txt >>100307.aparc.32k_fs_LR_ButWithClusterLUT.dlabel.nii -drop-unused-labels >> >> wb_command -cifti-convert -from-text ClusterIDs_ModelA_Clusters68.txt >>100307.aparc.32k_fs_LR_ButWithClusterLUT.dlabel.nii >>ModelA_Clusters68.32k_fs_LR.dlabel.nii >> >> wb_command -set-map-names ModelA_Clusters68.32k_fs_LR.dlabel.nii -map >>1 ModelA_Clusters68 >> >> Where the two textfiles used are defined thus: >> >> # CIFTI_LUT_ModelA_Clusters68.txt >> A plain text file with lines: >> Cluster_0001 >> 1 85 85 0 255 >> Cluster_0002 >> 2 85 170 0 255 >> Cluster_0003 >> 3 85 255 0 255 >> etc >> >> # ClusterIDs_ModelA_Clusters68.txt >> A plain text file with lines: >> 48 >> 23 >> 34 >> 19 >> etc >> >> However, running the command: >> >> wb_command -file-information <CIFTI_ModelClusters_dlabel> >> >> generates the following output: >> >> >> Name: ModelA_Clusters68.32k_fs_LR.dlabel.nii >> Type: Connectivity - Dense Label >> Structure: CortexLeft CortexRight >> Data Size: 237.65 Kilobytes >> Maps to Surface: true >> Maps to Volume: false >> Maps with LabelTable: true >> Maps with Palette: false >> Number of Maps: 1 >> Number of Rows: 59412 >> Number of Columns: 1 >> Volume Dim[0]: 0 >> Volume Dim[1]: 0 >> Volume Dim[2]: 0 >> Palette Type: None >> CIFTI Dim[0]: 1 >> CIFTI Dim[1]: 59412 >> ALONG_ROW map type: LABELS >> ALONG_COLUMN map type: BRAIN_MODELS >> Has Volume Data: false >> CortexLeft: 29696 out of 32492 vertices >> CortexRight: 29716 out of 32492 vertices >> >> Map Map Name >> 1 ModelA_Clusters68 >> >> Label table for ALL maps >> KEY NAME RED GREEN BLUE ALPHA >> 0 ??? 1.000 1.000 1.000 0.000 >> 1 Cluster_0001 0.333 0.333 0.000 1.000 >> 2 Cluster_0002 0.333 0.667 0.000 1.000 >> ... >> 68 Cluster_0068 1.000 1.000 1.000 1.000 >> 69 LABEL_69 0.776 0.055 0.686 1.000 >> 70 LABEL_70 0.196 0.569 0.169 1.000 >> >> As you can see, the original number of labels is somehow retained. And >>even though label values 69 and 70 are not present in the vertex:label >>mapping. >> (If I use the 100307.aparc.a2009s.32k_fs_LR.dlabel.nii file as a >>template, then I get a label table with 150 entries, again with the >>first 68 being the new ones). >> >> This is despite passing the '-drop-unused-labels' option to "wb_command >>-cifti-label-import². (Not using Œ-drop-unused-labels¹ gives the same >>result). >> >> So somehow I need to fully purge the CIFTI template file of its >>original LUT when the number of clusters that I want to insert is less >>than was originally present in the file. >> Any ideas? Is there a better way to do this? >> >> Cheers, >> >> M@ >> -- >> -- >> Matthew George Liptrot >> >> Assistant Professor >> Image Group >> Department of Computer Science >> University of Copenhagen >> & >> Section for Cognitive Systems >> Department of Applied Mathematics and Computer Science >> Technical University of Denmark >> >> http://about.me/matthewliptrot >> >> >> _______________________________________________ >> HCP-Users mailing list >> [email protected] >> http://lists.humanconnectome.org/mailman/listinfo/hcp-users >> > ________________________________ The materials in this message are private and may contain Protected Healthcare Information or other information of a sensitive nature. If you are not the intended recipient, be advised that any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited. 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