DtiSegData-class: DTI Data Payload Class
In neuroconductor/MriCloudR: R wrapper for MriCloud API
Description
This class is used to create an object payload for DTI mapping processing.
Fields
processingServerprocessing server to use on backend
dataZipzip payload filename. The zip file must contain the following files with indicated naming convention :
1) b0 image (subjectname_b0.img, subjectname_b0.hdr)
2) Mean diffusion weighted images (subjectname_dwi.img, subjectname_dwi.hdr)
3) Tensor file (subjectname_tensor.dat), which is a raw matrix with 6xD1xD2xD3)
sliceType"Axial"
atlas"Pediatric_168labels_12atlases_V1", "Adult_168labels_8atlases_V1". Defaults to "Adult_168labels_8atlases_V1".
descriptionAny description of the dataset (OPTIONAL)
neuroconductor/MriCloudR documentation built on May 21, 2021, 11:20 a.m.
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Description
This class is used to create an object payload for DTI mapping processing.
Fields
processingServerprocessing server to use on backend
dataZipzip payload filename. The zip file must contain the following files with indicated naming convention : 1) b0 image (subjectname_b0.img, subjectname_b0.hdr) 2) Mean diffusion weighted images (subjectname_dwi.img, subjectname_dwi.hdr) 3) Tensor file (subjectname_tensor.dat), which is a raw matrix with 6xD1xD2xD3)
sliceType"Axial"
atlas"Pediatric_168labels_12atlases_V1", "Adult_168labels_8atlases_V1". Defaults to "Adult_168labels_8atlases_V1".
descriptionAny description of the dataset (OPTIONAL)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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