manifest.json

{
	"name": "hdft-subsampled-recon",
	"label": "HDFT Subsampled Diffusion Reconstruction",
	"description": "Computes a transformation of multi-shell diffusion weighted data to a set of Spherical Harmonic coefficients and outputs 4D Spherical Harmonic coefficient data. This is a first step in the Schneider Lab HDFT diffusion reconstruction process. See: Pathak, S. K., Fissell, C., Krishnaswamy, D., Aggarwal, S., Hachey, R., Schneider, W. (2015). Diffusion reconstruction by combining spherical harmonics and generalized q-sampling imaging. ISMRM, Toronto, Canada.",
	"maintainer": "Michael Perry <lmperry@stanford.edu>",
	"author": "Schneider Lab, University of Pittsburgh",
	"url": "http://www.lrdc.pitt.edu/schneiderlab/",
	"source": "https://github.com/schlabhdft/ALDIT",
	"license": "GPL-2.0",
	"flywheel": "0",
	"version": "0.0.1",
	"inputs": {
		"dwi_file": {
			"base": "file",
			"type": {
				"enum": [
					"nifti"
				]
			}
		},
		"bvecs_file": {
			"base": "file",
			"type": {
				"enum": [
					"bvec"
				]
			}
		},
		"bvals_file": {
			"base": "file",
			"type": {
				"enum": [
					"bval"
				]
			}
		},
		"subsampling_vec": {
			"base": "file",
			"type": {
				"enum": [
					"tabular data"
				]
			}
		}
	},
	"config": {
		"sh_filename": {
			"description": "Output filename of 4D spherical harmonic coefficient data.",
			"default": "sumas_sh_coeff.nii",
			"type": "string"
		},
		"spherical_harmonics_order": {
			"description": "Maximum order of spherical harmonics.",
			"default": 8,
			"type": "integer"
		},
		"mean_diffusion_length": {
			"description": "The mean diffusion length for reconstruction of GQI matrix.",
			"default": 1.2,
			"type": "number"
		}
	}
}