Computational methods for image reconstruction

scientific article published on 26 May 2016

Computational methods for image reconstruction is …
instance of (P31):
review articleQ7318358
scholarly articleQ13442814

External links are
P356DOI10.1002/NBM.3545
P698PubMed publication ID27226213

P2093author name stringLars Ruthotto
Julianne Chung
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Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map.Q40281880
Nonlinear regularization for per voxel estimation of magnetic susceptibility distributions from MRI field mapsQ40676938
Parameter selection for total-variation-based image restoration using discrepancy principle.Q51463242
Quantifying arbitrary magnetic susceptibility distributions with MR.Q51679938
Selection of regularization parameter in total variation image restoration.Q51778512
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A Technique for the Numerical Solution of Certain Integral Equations of the First KindQ56031699
Generalized Cross-Validation as a Method for Choosing a Good Ridge ParameterQ56031700
P433issue4
P577publication date2016-05-26
P1433published inNMR in BiomedicineQ3061252
P1476titleComputational methods for image reconstruction
P478volume30