Hello, I am a new Caret user, and I am a bit confused by a couple of things that I am hoping can be easily clarified.
First, we use Linux as our primary computer operating system. In the Linux environment, I am getting Caret files to load, but the images are either not visible at all or they are distorted in some fashion. When I use Caret in Windows, this problem disappears; however, I need to use the Caret-AFNI interface, and AFNI does not operate in a Windows environment. Do you know of a program, a patch, or the like, that will allow the Caret images to appear appropriately when used in the Linux environment? Alternatively, do you know of a way to interface the Windows version of Caret with AFNI that is running in Linux? When I import MPRAGE files from AFNI into Caret in the Linux environment using your directions in the segmentation tutorial, however, the images actually look fine and I am able to crop the brain nicely. When the brain segmentation process begins, however, it inevitably fails. It appears that when the parameters for voxel size are adjusted to the required size, the image is degraded and the program can no longer distinguish between white and gray matter sufficiently, though this is just an educated guess as to what is happening. I had thought that ANFI would automatically size the voxels appropriately, but it apparently does not do so. Is there a remedy for this problem, or am I committing a fatal error somewhere? Is it possible that this problem is a result of our scan resolution as opposed to an AFNI-Caret problem? (I think that our scan resolution is fairly standard, so I suspect this not to be the case.) Thank you very much for your time and your help. I am looking forward to using Caret as soon as we get these kinks worked out. It is a very impressive program. Cheers, Joanna Hutchison -------------------------------------------------------------- Joanna Hutchison, Ph.D. Department of Psychiatry-University of Texas Southwestern Medical Center School of Behavioral and Brain Sciences-University of Texas at Dallas Center for BrainHealth-University of Texas at Dallas
