## Abstract A new approach based on nonlinear inversion for autocalibrated parallel imaging with arbitrary sampling patterns is presented. By extending the iteratively regularized GaussโNewton method with variational penalties, the improved reconstruction quality obtained from joint estimation of i
Magnetic resonance imaging in nonlinear fields with nonlinear reconstruction
โ Scribed by Quang M. Tieng; Viktor Vegh
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 831 KB
- Volume
- 39B
- Category
- Article
- ISSN
- 1552-5031
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