Some of the scans I work with are of the same subject, but differ only in the length of time they were in the scanner. Obviously the scans of longer length (everything else being equal) will yield better quality; however, I'm interested in a kind of "bang-for-your-buck" approach. Is there a point where some amount of diminishing returns occurs with respect to FS processing and scan quality? Therefore, my main question:
1) Is there anything in the FS processing stream that would be a reasonable heuristic for determining if one scan processes better than another (all things being equal beside length of time being scanned)? For example, # of topological defects to correct, length of processing, amount of manual correction, or just visual quality?
I understand some of this is related to what structure(s) I'm interested in measuring, but was wondering about it in a general fashion. This may come in handy down the road for us because many of our subjects are individuals with schizophrenia, and being in an enclosed space (let alone the time it takes to yield a high-quality scan) is traumatic enough for them. Thanks for any input.
-Derin
Hi Derin,
you can certainly compute contrast-to-noise. Longer scans have more motion and won't necessarily be better. Are you talking about multiple acquisitions of the same protocol, or changing the acquisition parameters (e.g. TR)? The latter will change the contrast.
cheers, Bruce
On Thu, 14 Dec 2006, Derin Cobia wrote:
Some of the scans I work with are of the same subject, but differ only in the length of time they were in the scanner. Obviously the scans of longer length (everything else being equal) will yield better quality; however, I'm interested in a kind of "bang-for-your-buck" approach. Is there a point where some amount of diminishing returns occurs with respect to FS processing and scan quality? Therefore, my main question:
- Is there anything in the FS processing stream that would be a
reasonable heuristic for determining if one scan processes better than another (all things being equal beside length of time being scanned)? For example, # of topological defects to correct, length of processing, amount of manual correction, or just visual quality?
I understand some of this is related to what structure(s) I'm interested in measuring, but was wondering about it in a general fashion. This may come in handy down the road for us because many of our subjects are individuals with schizophrenia, and being in an enclosed space (let alone the time it takes to yield a high-quality scan) is traumatic enough for them. Thanks for any input.
-Derin _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Dear All: I was wondering what I could expect in cortical thickness measurements as I move to the 3T scan. Should I have thicker or thinner cortical values in my population of healthy subjects as compared to the literature? Thank you, Francesca
Hi Francesca,
we've seen a bias towards thicker cortex in 3T data with respect to 1.5T. I think Xiao Han put this analysis in his recent NeuroImage paper.
cheers, Bruce On Thu, 14 Dec 2006, Bagnato, Francesca (NIH/NINDS) [E] wrote:
Dear All: I was wondering what I could expect in cortical thickness measurements as I move to the 3T scan. Should I have thicker or thinner cortical values in my population of healthy subjects as compared to the literature? Thank you, Francesca
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Hi Francesca,
we've seen a bias towards thicker cortex in 3T data with respect to 1.5T. I think Xiao Han put this analysis in his recent NeuroImage paper.
that paper is here:
http://www.nmr.mgh.harvard.edu/~fischl/reprints/Han_NeuroImage_2006_thicknes...
cheers, Bruce On Thu, 14 Dec 2006, Bagnato, Francesca (NIH/NINDS) [E] wrote:
Dear All: I was wondering what I could expect in cortical thickness measurements as I move to the 3T scan. Should I have thicker or thinner cortical values in my population of healthy subjects as compared to the literature? Thank you, Francesca
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
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