UKF Tractography uses an unscented Kalman filter to perform tractography. At each point on the fiber the most consistent direction is found as a mixture of previous estimates and of the local model.

It can tract fibers 1-, 2-, or 3-tensor methods which uses a mixture of Gaussian tensors. There are two methods: One limits the diffusion ellipsoids to a cylindrical shape (the second and third eigenvalue are assumed to be identical) and the other one uses a full tensor representation.



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import nipype.interfaces.semtools.diffusion as ukf



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import nipype



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import nipype.interfaces.semtools as tools



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test = ukf.dtiestim(dwi_image = "Control258localeq.nii")



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convert = ukf.DWIConvert("Control258localeq.nii")
convert.output_spec(outputVolume = File("Control258localeq.nrrd"))









    Out[12]:





gradientVectorFile = <undefined>
outputBValues = <undefined>
outputBVectors = <undefined>
outputDirectory = <undefined>
outputVolume = <undefined>



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<nipype.interfaces.semtools.diffusion.diffusion.DWIConvert object at 0x7f2bce516650>



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