Evidence map›Paper›PMID 42108390›Full record

ArticleMagnetic resonance in medicine2026

Fully-Constrained Variable Projection for Water-Fat Models.

Carl Ganter, Jonathan Stelter, Louis Peyratoux, Dimitrios C Karampinos, Oliver Bieri

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Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Carl GanterDepartment of Diagnostic and Interventional Radiology, TUM University Hospital, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany.ORCID https://orcid.org/0000-0002-6735-7448
Jonathan StelterDepartment of Diagnostic and Interventional Radiology, TUM University Hospital, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany.ORCID https://orcid.org/0000-0003-3335-3331
Louis PeyratouxLaboratory of Magnetic Resonance Imaging Systems and Methods, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Dimitrios C KarampinosDepartment of Diagnostic and Interventional Radiology, TUM University Hospital, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany.ORCID https://orcid.org/0000-0003-4922-3662
Oliver BieriDivision of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0002-6755-5495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeVariable projection (VARPRO) is an effective technique to reduce the dimensionality of least squares optimization problems through the elimination of linear parameters. For water-fat models, constrained VARPRO variants have been proposed in the literature to ensure that water and fat components are aligned at TE = 0, thereby preventing overfitting of data. These models, however, still allow for anti-parallel orientation of water and fat and therefore remain potentially vulnerable. An alternative, fully-constrained VARPRO formulation is derived, which resolves these limitations without compromising dimensionality reduction and/or numerical performance. THEORY AND

methodsThe linear coefficients are redefined according to the physical constraints, thereby introducing the fat fraction

resultsFor challenging data, estimation of

conclusionFully-constrained VARPRO enables more reliable local parameter estimation, while preserving the efficiency of existing approaches.

Indexed as

Adipose TissueBody WaterImage Interpretation, Computer-AssistedMagnetic Resonance ImagingModels, BiologicalAlgorithmsComputer SimulationHumansImage EnhancementReproducibility of ResultsSensitivity and Specificityconstrained phaseDixonmulti‐echo GREvariable projectionwater‐fat

Identifiers

PMID42108390
PMCPMC13327499

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