Comments (2)
Hi Mathieu,
The extrapolation of the SuperLorentzian lineshape near resonance was made to handle the infinite value at G(0) for this lineshape for the on resonance methods (SIR-FSE and bSSFP).
The values used in the extrapolation were chosen empirically to reproduce the extrapolation made in the Gloor 2008 paper (Fig.8). They used a fixed value on resonance of G(0) = 1.4 x 10^-5 s^-1 for some T2r value I don't recall. To get to this value in a continuous, smooth way, I used a quadratic extrapolation of the lineshape towards G(0) for delta < 1500 Hz.
From my understanding, the exact absorption lineshape of the restricted pool is unclear near resonance. If you want to avoid bias for the SPGR method, the 'onres' argument in the function can be set to false, then no extrapolation is made. This option is not implemented in the GUI though, but you could make the change in the computeWB function by changing line 4 to onres = 0; but that would affect on resonance methods as well. Maybe a better way would be to set the 'onres' variable to 1 in the SPGR_fit function and pass it to computeWB where it is called. You would also need to do the same in the three analytical expressions files (SPGR_(Scw/Srp/Y)_fun.m).
I do suggest you compare results using both options, as I never really took the time to do it myself. Let me know what you find! Let me know if you think it would be best to set the default for SPGR to not use extrapolation, I could make the change.
Cheers,
JF
from qmrlab.
Thanks JF!
I think our legacy code dealt with this region a little bit differently, https://github.com/mathieuboudreau/qMTLab_MNI_Legacy/blob/master/superlrtz_line.m#L38, but I don't fully understand what/why they were doing here either.
I'll move along with what I'm intending on doing, and if I can't reproduce some of Ives old results, I'll dig into this a bit more.
Cheers,
Mathieu
from qmrlab.
Related Issues (20)
- Exporting T1 Values HOT 1
- Fitting Data 0% No CPU Load HOT 6
- Computing B1+ Fails HOT 12
- Question about T2 Fitting HOT 10
- Issue running the Jupyter notebook on T1-mapping VFA HOT 11
- MTsat model: Add MTR as an output HOT 4
- Release 2.5.0 milestones HOT 2
- Fit Protocol for Inversion Recovery Data - RAREVTR_bas sequence Failed HOT 4
- Question about CHARMED method HOT 5
- GUI - problem prompt HOT 2
- Hi-res qMRLab logo HOT 1
- qMRLAB qmt_spgr mask function ignores Mask file HOT 3
- mono_t2 model does not output or plot Offset value if options.OffsetTerm = true
- Add nonlinear fitting option to VFA
- mono_t2 function field strength inquiry HOT 1
- MP2RAGE can't process magnitude-only INV1 and INV2 images HOT 9
- Need new release
- Offer feature to resample optional input (eg B1 in MTsat) to the reference images (eg MTw)
- Adding New Model: Adiabatic Inversion Pulses
- Can I change the T2 range for matching in MWF model? HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from qmrlab.