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| Result: Searchterm 'Dixon'
found in 4 messages |
| Result Pages: [1] |
More Results:  Database (8) News Service (3) |
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Reader Mail
Wed. 1 Jun.11,
14:14
[Start of:
'Dixon technique'
1 Reply]
 Category:
Sequences and Imaging Parameters
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| Dixon technique |
I have been searching the web for information regarding a "double-echo two-excitation pulse sequence encoding fat and water signals for a phase-sensitive three-point Dixon type analysis". Does anyone know what pulse sequence(s) this is referring to, or a publication that might be helpful???
Thanks
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Albert Yen
Wed. 5 Feb.20,
02:54
[Reply (1 of 2) to:
'MRI-PDFF'
started by: 'Imran Chunawala'
on Sun. 14 Jul.19]
Category:
General
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| MRI-PDFF |
Hi, You may start with checking the MRI candidate sites whether their MRI is equipped with following package: IDEAL IQ for GE MRI scanner, mDIXON-Quant for Philips MRI scanner, LiverLab for Siemens MRI scanner. This shall shall exclude some candidates and save a lot efforts. Certainly there will be other concerns if it's a multi-center study. This article may help: https://www.birpublications.org/doi/pdf/10.1259/bjr.20170378
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Desiree Dupuy
Sat. 3 Dec.16,
22:14
[Reply (2 of 3) to:
'Muscle shading in 3T Images'
started by: 'Travis Conley'
on Thu. 21 Oct.10]
Category:
Applications and Examinations
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| Muscle shading in 3T Images |
Try running a B1 Map followed by Calibration. Set RF Drive mode to Optimized. This is supposed to optimize for your Patient. Supposed to reduce dielectric effect/shading for Lumbar and Abdomen.
You can find under GE Additional Abdomen Sequences.
Or you can run Ideal with Dixon technique. Turn on IN phase will give you T1 FS & IN Phase is you plane T1. I believe this takes care of the artifact.
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Katelin Lyons
Fri. 3 Jun.11,
11:55
[Reply (1 of 2) to:
'Dixon technique'
started by: 'Reader Mail'
on Wed. 1 Jun.11]
Category:
Sequences and Imaging Parameters
|
| Dixon technique |
Dixon technique uses alternative water/fat phase-encoding strategies. The technique is generalized to phase encoding of theta radians, and the signal-to-noise ratio (S/N) performance is evaluated.To get some more information regarding this please check out the following link : http://www.ncbi.nlm.nih.gov/pubmed/18777528
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