What do the"bundles features" statistics describe
What do the"bundles features" statistics describe
What do the statistics "Volume Ratio Image" (vr) , "Standard Deviation Image" (stdev) and "Diffusion-weighted T2 image" (dwt2) in the bundles-features statistics mean ?
Thanks
Thanks
- Yann Cointepas
- Posts: 316
- Joined: Tue Jan 20, 2004 2:56 pm
- Location: Neurospin, Saint Aubin, France
- Contact:
Volume ratio (vr) is an anisotropy index. I do not remember who introduced it. Try to have a look at "Pierpaoli C, Basser PJ. Toward a quantitative assessment of diffusion anisotropy. Magn Reson Med. 1996;36:893-906.".
Standard Deviation Image (stdev) is the standard deviation of diagonal tensor values:
Diffusion-weighted T2 image (dwt2) is the product of diffusion-weighted values to the power 1/number-of-diffusion-weighted-values:
Standard Deviation Image (stdev) is the standard deviation of diagonal tensor values:
Code: Select all
stddev = sqrt( (Dxx - adc)^2 + (Dyy - adc)^2 + (Dzz - adc)^2 )
Code: Select all
dwt2 = dw[ 1 ]^(1/number-of-diffusion-weighted-values) *
dw[ 2 ]^(1/number-of-diffusion-weighted-values) *
...
dw[ number-of-diffusion-weighted-values ]^(1/number-of-diffusion-weighted-values)
meaning of dwt2 statistic
Hello there,
You say that 'Diffusion-weighted T2 image (dwt2) is the product of diffusion-weighted values to the power 1/number-of-diffusion-weighted-values'. What does this mean in non-mathematical terms? In other words, how can a difference in the mean dwt2 value along a bundle between two populations be interpreted?
thanks!
Narly.
You say that 'Diffusion-weighted T2 image (dwt2) is the product of diffusion-weighted values to the power 1/number-of-diffusion-weighted-values'. What does this mean in non-mathematical terms? In other words, how can a difference in the mean dwt2 value along a bundle between two populations be interpreted?
thanks!
Narly.
====================================
Narly Golestani
University of Geneva
& University College London
====================================
Narly Golestani
University of Geneva
& University College London
====================================
question - again
Hello there,
You say that 'Diffusion-weighted T2 image (dwt2) is the product of diffusion-weighted values to the power 1/number-of-diffusion-weighted-values'. What does this mean in non-mathematical terms? In other words, how can a difference in the mean dwt2 value along a bundle between two populations be interpreted?
thanks!
Narly.
You say that 'Diffusion-weighted T2 image (dwt2) is the product of diffusion-weighted values to the power 1/number-of-diffusion-weighted-values'. What does this mean in non-mathematical terms? In other words, how can a difference in the mean dwt2 value along a bundle between two populations be interpreted?
thanks!
Narly.
====================================
Narly Golestani
University of Geneva
& University College London
====================================
Narly Golestani
University of Geneva
& University College London
====================================
- Jean-Francois Mangin
- Posts: 337
- Joined: Mon Mar 01, 2004 10:24 am
- Location: Neurospin, CEA, France
- Contact:
dwt2
Hi Jean-Francois,
Thanks for your response. Can you point me to any references in which they discuss (or at least propose) the possible interpretation for dwt2 image values?
best,
Narly.
Thanks for your response. Can you point me to any references in which they discuss (or at least propose) the possible interpretation for dwt2 image values?
best,
Narly.
====================================
Narly Golestani
University of Geneva
& University College London
====================================
Narly Golestani
University of Geneva
& University College London
====================================
- Jean-Francois Mangin
- Posts: 337
- Joined: Mon Mar 01, 2004 10:24 am
- Location: Neurospin, CEA, France
- Contact:
dwt2
Hi Jean-Francois,
So which measure is it that can be thought of as reflecting the things you mentioned (differences in axon packing, myelin sheet thickness, axon diameters), is it the FA?
thanks,
Narly.
So which measure is it that can be thought of as reflecting the things you mentioned (differences in axon packing, myelin sheet thickness, axon diameters), is it the FA?
thanks,
Narly.
====================================
Narly Golestani
University of Geneva
& University College London
====================================
Narly Golestani
University of Geneva
& University College London
====================================
- Jean-Francois Mangin
- Posts: 337
- Joined: Mon Mar 01, 2004 10:24 am
- Location: Neurospin, CEA, France
- Contact:
FA is the most used, some people begin to use also the eigenvalues, but I am not really following this literature which is huge. I am afraid you have to get in touch with people that spent a lot of time thinking about this kind of issues. The ones you met in Orsay could be Gwen Douaud and Jessica Dubois, but other lab are full of other interesting people...