BrainVISA

What I understand is that ADC maps are trace(Tensor)/3. So ADC can not be negative. I found this negative voxels into brain voxels, but it is true that only in more or less 1% of them. What I want to ask is if I need to exclude this voxels for statistical studies, or if I can solve this problem work...

I have 21 subjects. I have made the ADC maps for all of them. Because all the ADC maps have negative values of the same order of the maximun value, I made the six tensor images. Some of the components of the tensor diagonal of each subject have negative values. The trace of the tensor is an invarian...

Using AimsDiffusionScalarMap i create the six volumes of the diffusion tensor. There are some voxels with negative values.

Why there are negative values on the diffusion tensor?

Could I know how the diffusion model file (*.bck) is structured?

I generated it in ascii mode.

(DTI, fiber tracking): Is there any metric for the connection degree between two given voxels or regions? Is there any brainvisa-Aims function that generates connectivity maps (the gray level of each voxel-region is the connectivity degree with a given initial voxel-region)? reference : "DTI ma...

(DTI, fiber tracking): Is there any metric for the connection degree between two given voxels or regions? Is there any brainvisa-Aims function that generates connectivity maps (the gray level of each voxel-region is the connectivity degree with a given initial voxel-region)? reference : "DTI ma...