that's a really good idea. manual intervention is fine.
on can also adjust intensities in those by weighting ARD differently when making the distibutions. presumbly you sum sum one and two, ard weight 1. thanks, Colin On 20 February 2012 18:00, <[email protected]> wrote: > Send caret-users mailing list submissions to > [email protected] > > To subscribe or unsubscribe via the World Wide Web, visit > http://brainvis.wustl.edu/mailman/listinfo/caret-users > or, via email, send a message with subject or body 'help' to > [email protected] > > You can reach the person managing the list at > [email protected] > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of caret-users digest..." > > Today's Topics: > > 1. Re: segmenting with diffusion maps (Matt Glasser) > > > ---------- Forwarded message ---------- > From: Matt Glasser <[email protected]> > To: "'Caret, SureFit, and SuMS software users'" < > [email protected]> > Cc: > Date: Mon, 20 Feb 2012 09:15:03 -0600 > Subject: Re: [caret-users] segmenting with diffusion maps > ** > > I use the sum of f (i.e. sum of mean_f#samples) from bedpostx. It will > still require a fair amount of manual intervention. **** > > ** ** > > Peace,**** > > > Matt.**** > > ** ** > ------------------------------ > > *From:* **[email protected]** [mailto:** > [email protected]**] *On Behalf Of *Colin Reveley > *Sent:* Sunday, February 19, 2012 12:09 PM > *To:* [email protected] > *Subject:* [caret-users] segmenting with diffusion maps**** > > ** ** > > Hi - **** > > ** ** > > I have a high quality diffusion data set. I do, actually, also have a > structural image but it was aquired a few days later. Although it is the > same sample, it seems that it cannot be brougtht into register properly > using only linear methods (probably because the ex-vivo sample was pushed > around a bit by gravity and fluid pressures; there is a bit of an issue > with the containers used).**** > > ** ** > > I have access to non-linear methods, but they are intensity based and it's > very hard indeed to to bring the structural image into register with an > image with a different intensity profile while maintaining the intenisties. > I'm continuing to try.**** > > ** ** > > But - does any one have any advice concerning segmenting one of the very > many tensor maps or other DW volumes I have? **** > > ** ** > > It seems to me that the "AM" map, which is an output of tortoise that I > think is the mean of b0 vols in principle could work with the intensities > reversed, although I've not have much luck. **** > > ** ** > > I attach an image. One thing is the bias towards thew caudal end. If I > fixed that, does anyone think that this or any other DWI acquisition output > could be plausible segmented in CARET?**** > > ** ** > > IT doesn't matter how much manual labour I'd have to do. It matters only > to get an accurate surface in regsiter with the diffusion data.**** > > ** ** > > many, many thanks**** > > ** ** > > I guess one thing is that if I could get this image to a stage where it > might be viable segmented, then it might also be a viable target for > intensity based non-linear registration of a t1-like volume (an MTR image > in fact, which segment generally well )**** > > ** ** > > Colin**** > > _______________________________________________ > caret-users mailing list > [email protected] > http://brainvis.wustl.edu/mailman/listinfo/caret-users > >
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