{ "name": "ApplyTOPUP", "command-line": "applytopup [DATATYPE] [ENCODING_FILE] [IN_FILES] [IN_INDEX] [IN_TOPUP_FIELDCOEF] [INTERP] [METHOD] [OUT_CORRECTED]", "author": "Nipype (interface), Oxford Centre for Functional MRI of the Brain (FMRIB) (tool)", "description": "ApplyTOPUP, as implemented in Nipype (module: nipype.interfaces.fsl, interface: ApplyTOPUP).", "inputs": [ { "id": "datatype", "name": "Datatype", "type": "String", "value-key": "[DATATYPE]", "command-line-flag": "--datatype", "command-line-flag-separator": "=", "description": "'char' or 'short' or 'int' or 'float' or 'double'. Force output data type.", "optional": true, "value-choices": [ "char", "short", "int", "float", "double" ] }, { "id": "encoding_file", "name": "Encoding file", "type": "File", "value-key": "[ENCODING_FILE]", "command-line-flag": "--datain", "command-line-flag-separator": "=", "description": "An existing file name. Name of text file with pe directions/times.", "optional": false }, { "id": "in_files", "name": "In files", "type": "File", "list": true, "list-separator": ",", "value-key": "[IN_FILES]", "command-line-flag": "--imain", "command-line-flag-separator": "=", "description": "A list of items which are an existing file name. Name of file with images.", "optional": false }, { "id": "in_index", "name": "In index", "type": "Number", "list": true, "integer": true, "list-separator": ",", "value-key": "[IN_INDEX]", "command-line-flag": "--inindex", "command-line-flag-separator": "=", "description": "A list of items which are an integer (int or long). Comma separated list of indices corresponding to --datain.", "optional": false }, { "id": "in_topup_fieldcoef", "name": "In topup fieldcoef", "type": "File", "value-key": "[IN_TOPUP_FIELDCOEF]", "command-line-flag": "--topup", "command-line-flag-separator": "=", "description": "An existing file name. Topup file containing the field coefficients.", "optional": false }, { "id": "interp", "name": "Interp", "type": "String", "value-key": "[INTERP]", "command-line-flag": "--interp", "command-line-flag-separator": "=", "description": "'trilinear' or 'spline'. Interpolation method.", "optional": true, "value-choices": [ "trilinear", "spline" ] }, { "id": "method", "name": "Method", "type": "String", "value-key": "[METHOD]", "command-line-flag": "--method", "command-line-flag-separator": "=", "description": "'jac' or 'lsr'. Use jacobian modulation (jac) or least-squares resampling (lsr).", "optional": true, "value-choices": [ "jac", "lsr" ] } ], "output-files": [ { "name": "Out corrected", "id": "out_corrected", "path-template": "out_corrected", "optional": false, "description": "An existing file name. Name of 4d image file with unwarped images.", "value-key": "[OUT_CORRECTED]", "command-line-flag": "--out", "command-line-flag-separator": "=" } ], "tool-version": "1.0.0", "schema-version": "0.5", "container-image": { "image": "mcin/docker-fsl:latest", "type": "docker", "index": "index.docker.io" }, "tags": { "domain": [ "neuroinformatics", "dmri" ], "source": "nipype-interface" }, "url": "https://github.com/nipy/nipype/blob/master/nipype/interfaces/fsl/epi.py" }