Improved parametric reconstruction using variable projection optimization

Fernando Boada; Zhi Pei Liang; E. Mark Haacke

doi:10.1088/0266-5611/14/1/004

Improved parametric reconstruction using variable projection optimization

Fernando Boada, Zhi Pei Liang, E. Mark Haacke

Research output: Contribution to journal › Article

Abstract

This paper addresses the problem of image reconstruction from limited Fourier data. An improved parameter estimation algorithm is proposed for use with a polynomial model-based image reconstruction method. Results from magnetic resonance imaging data are shown to demonstrate the performance of the proposed algorithm.

Original language	English (US)
Pages (from-to)	19-27
Number of pages	9
Journal	Inverse Problems
Volume	14
Issue number	1
DOIs	https://doi.org/10.1088/0266-5611/14/1/004
State	Published - Dec 1 1998

ASJC Scopus subject areas

Theoretical Computer Science
Signal Processing
Mathematical Physics
Computer Science Applications
Applied Mathematics

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Boada, F., Liang, Z. P., & Haacke, E. M. (1998). Improved parametric reconstruction using variable projection optimization. Inverse Problems, 14(1), 19-27. https://doi.org/10.1088/0266-5611/14/1/004

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abstract = "This paper addresses the problem of image reconstruction from limited Fourier data. An improved parameter estimation algorithm is proposed for use with a polynomial model-based image reconstruction method. Results from magnetic resonance imaging data are shown to demonstrate the performance of the proposed algorithm.",

author = "Fernando Boada and Liang, {Zhi Pei} and Haacke, {E. Mark}",

year = "1998",

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