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BF: Normalization of GQI2 gqi_vector
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#581
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A long due fix, , with thanks to @qytian for fixing this and reminding me to put in this PR on his behalf.
Can you generate the same 2 figures but with sampling_length = 3? |
Aha! |
Okay thank you. I asked for this so we can have a reference on the change of sampling_length after the new pi correction. Thank you both :) |
BF: Normalization of GQI2 `gqi_vector`.
The abstract "Deconvolution enhanced Generalized Q-Sampling 2 and DSI deconvolution" recommends an integration length lamda between 2 and 3. I am not sure whether here includes the "pi" constant, i.e. should be [2, 3] / pi. |
Yeah - no problem. @qytian and I will work on another PR for that. On Thu, Feb 26, 2015 at 10:43 AM, Eleftherios Garyfallidis <
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Regarding the second screenshot, is that supposed to happen? You seem to have reversed the orientation of the crossings to 90 degrees on that stick figure, while it was more like 60 degrees before. |
Yeah, it's correct. It is the same as sampling from outside the PDF grid in DSI. Your values will not be correct or very small (in the case of GQI2) and then you may start seeing effects of the sampling sphere in the results. |
A long overdue fix, , with thanks to @qytian for fixing this and reminding me to
put in this PR on his behalf.
Follow-up of this conversation: http://mail.scipy.org/pipermail/nipy-devel/2013-November/009574.html