Wild Bootstrap Tractography (FACT)

Wild Bootstrap Tractography (FACT) 1.1 NOT FUNCTIONAL (WildBoot_FACT)

IACL.Modeling.Tractography

[edu.jhu.ece.iacl.plugins.dti.tractography.MedicAlgorithmWildBootTrac]

Description

Wild Bootstrap Verison of FACT - Probabilistic, Streamline Tractography Algorithm.

Notes

Wild Bootstrap Verison of FACT - Probabilistic, Streamline Tractography Algorithm.An implementation of the WildBootFACT algorithm. By default, begins tracking at all voxels, but can optionally track from a single seed point. Returns a fiber collection in DTIStudio and in VTK format.

Inputs

Name	Default	Type	File Extension	Description
DWI and Reference Image(s) Data (4D)		VolumeCollection	-	DWI and Reference Image(s) Data (4D)
CAMINO DTI Description (SchemeV1)	None	File	-	CAMINO DTI Description (SchemeV1)
Mask Volume to Determine Region of Tensor Estimation (3D) (Optional)	Mask Volume to Determine Region of Tensor Estimation (3D)	Volume dim{X,Y,Z,1} type{any}	Supported Formats	Mask Volume to Determine Region of Tensor Estimation (3D)
Select CAMINO Tensor Estimator?	Linear	Option Algebraic Linear NonLinear RESTORE WeightedLinear	-	Select CAMINO Tensor Estimator?
Noise Level (RESTORE only)	0	Float	-	Noise Level (RESTORE only)
Start FA	0.5	Double	-	The FA at which to begin tracking
Stop FA	0.5	Double	-	The FA at which to terminate tracking
Max Turn Angle	40	Integer	-	The angle (in degrees) which terminates tracking
Seeds Per Voxels	1	Integer	-	Seeds Per Voxels
Probability of starting each seed	1	Float	-	Used for downsampling fiber tracking field.
Write VTK fibers (slow)?	false	Boolean	-	Write VTK fibers (slow)?

Outputs

Name	Type	File Extension	Description
Tensor (xx,xy,xz,yy,yz,zz)	Volume dim{X,Y,Z,6} type{any}	xml	Tensor (xx,xy,xz,yy,yz,zz)
Exit Code	Volume dim{X,Y,Z,1} type{any}	xml	Exit Code
Intensity	Volume dim{X,Y,Z,1} type{any}	xml	Intensity
Cone of Uncertainty (deg)	Volume dim{X,Y,Z,1} type{any}	xml	Cone of Uncertainty (deg)
Fibers (DTI Studio)	Object	dat	Fibers (DTI Studio)
Fibers (VTK) (Optional)	Object	vtk	Fibers (VTK)
Execution Time	Performance	-	Execution Time

Authors

Bennett Landman (landman@jhu.edu) http://sites.google.com/site/bennettlandman/
John Bogovic (bogovic@jhu.edu)

Citations

Mori S, Crain BJ, Chacko VP, van Zijl PCM, "Three dimensional tracking of axonal projections in the brain by magnetic resonance imaging" Ann Neurol. 1999. 45:(265-9)
Basser PJ, Mattielo J, and Lebihan D, Estimation of the effective self-diffusion tensor from the NMR spin echo, Journal of Magnetic Resonance, 103, 247-54, 1994.
Jones DK and Basser PJ, Squashing peanuts and smashing pumpkins: How noise distorts diffusion-weighted MR data, Magnetic Resonance in Medicine, 52(5), 979-993, 2004.
Alexander DC and Barker GJ, Optimal imaging parameters for fibre-orientation estimation in diffusion MRI, NeuroImage, 27, 357-367, 2005
Chang L-C, Jones DK and Pierpaoli C, RESTORE: Robust estimation of tensors by outlier rejection, Magnetic Resonance in Medicine, 53(5), 1088-1095, 2005.

Last modified by VANDERBILT\landmaba on Thu, 21 Jan 2010 14:27:27 CST