manifest.json

{
	"name": "cni-tsnr-map",
	"label": "CNI: temporal SNR analysis",
	"description": "Calculate signal fluctuation to noise ratio (SFNR), temporal SNR, and radius of decorrelation (from Weisskoff analysis) of a time series in a 4D NIFTI.",
	"version": "2.1.0",
	"inputs": {
		"nifti": {
			"base": "file",
			"description": "Input 4D NIFTI file",
			"type": {
				"enum": [
					"nifti"
				]
			}
		}
	},
	"config": {
		"discarded_volume": {
			"default": 3,
			"description": "The number of volume to discard from the beginning of the time series",
			"type": "number"
		},
		"mask_threshold": {
			"default": 0.5,
			"description": "Fractional intensity threshold (0-\u003e1); smaller values give larger brain outline estimates",
			"type": "number"
		},
		"roi_size": {
			"default": 21,
			"description": "Upper limit of ROI length for Weisskoff analysis",
			"type": "number"
		},
		"save_all_outputs": {
			"default": true,
			"description": "Save all intermediate results, including raw tSNR, detrended time series, mask, etc",
			"type": "boolean"
		}
	},
	"author": "Hua Wu",
	"maintainer": "Hua Wu",
	"license": "Other",
	"source": "https://github.com/huawu02/tsnr",
	"url": "",
	"custom": {
		"gear-builder": {
			"category": "analysis",
			"image": "cni-tsnr-map"
		},
                "flywheel": {
                        "suite": "Stanford CNI"
                }
	}
}