direct.json

{
  "name": "ANTs-CT"
  "version": "1.0.0",
  "keywords": [
    "brain",
    "cortex",
    "thicknes",
    "DiReCT"
  ],
  "shortdesc": "ANTs cortical thickness using the DiReCT method"
  "longdesc": "Estimates a cortical thickness map using a registration-based cortical thickness measurement",
  "citation": "https://www.ncbi.nlm.nih.gov/pubmed/25181316",
  "url": "https://sites.google.com/view/ashs-dox/mri-data/ashs-pmc-atlas-requirements",
  "tags": [
    { 
      "name": "T1-MRI",
      "type": "MainImage",
      "hint": "Roughtly isotropic (e.g., 1x1x1mm^3) T1-weighted MRI scan of the whole brain.",
      "required": true
    },
    { 
      "name": "AC",
      "type": "PointLandmark",
      "hint": "Anterior commissure point can be optionally specified to help align the MRI scan to the brain template.",
      "required": false
    },
    { 
      "name": "PC",
      "type": "PointLandmark",
      "hint": "Posterior commissure point can be optionally specified to help align the MRI scan to the brain template.",
      "required": false
    }
  ],
  "parameters": [
    { 
      "name": "corr_mode",
      "displayname" : "Correction Mode",
      "hint" : "ASHS offers performs segmentation error correction based on a machine learning algorithm. The 'intensity and shape correction' mode is suitable when your data closely matches the intensity characteristics of the ASHS atlas (see paper for details). Otherwise , 'shape correction' is recommended. You may also choose to disable error correction.",
      "type" : "choose_one",
      "choices" : [
        { 
          "name" : "none",
          "displayname" : "No error correction"
        },
        { 
          "name" : "shape",
          "displayname" : "Shape correction"
        },
        { 
          "name" : "intensity",
          "displayname" : "Intensity correction"
        }
        ]
    }