Dear Experts,
I am sorry for the basic question but we have a dataset of subjects we like to analyze for which we have different slice thicknesses and orientations in dicom format. All T1's collected were SPGR volumes with the same scanner parameters. My question was: Do you advice to re-orient and re-slice the dataset to make it uniform or is that step not necessary
cheers and thank you catherine
Hi Catherine, no, don't do anything to your data, just run it as it is through recon-all. Also, it is not so good to have different acquisitions in your study (though it does depend a bit on how different they actually all). You should make sure that your study is balanced across the different acquisitions (ie, if you have two groups, each group should have a mixture of acquisitions). doug
On 12/14/11 9:14 AM, Cat Chong wrote:
Dear Experts,
I am sorry for the basic question but we have a dataset of subjects we like to analyze for which we have different slice thicknesses and orientations in dicom format. All T1's collected were SPGR volumes with the same scanner parameters. My question was: Do you advice to re-orient and re-slice the dataset to make it uniform or is that step not necessary
cheers and thank you catherine
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Hi Catherine,
it shouldn't be necessary, but you should be very careful that any effects you find are biological ones and don't simply reflect acquisition differences.
cheers Bruce On Wed, 14 Dec 2011, Cat Chong wrote:
Dear Experts,
I am sorry for the basic question but we have a dataset of subjects we like to analyze for which we have different slice thicknesses and orientations in dicom format. All T1's collected were SPGR volumes with the same scanner parameters. My question was: Do you advice to re-orient and re-slice the dataset to make it uniform or is that step not necessary
cheers and thank you catherine
freesurfer@nmr.mgh.harvard.edu
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Bruce Fischl -
Cat Chong -
Douglas Greve