I would not think so, but It depends what you mean by "bad slice" and how complex is the model you try to fit. Bedpostx does not do any outlier detection and will try to fit the spherical shape of the data. The more datapoints you have the less effect such an outlier will have. Also, the more flexibility you give to the model (e.g. asking for many sticks), the more vulnerable it becomes to artifacts.
Hope this helps
On 6 Mar 2012, at 16:42, Daniel Peterson wrote:
> Hi Stam,
> Thanks for the response. Just to be clear: If you have one bad slice in one DW image out of 60+ DW images, are you S.O.L. as far as bedpostx is concerned?