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 › peer-review

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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10.1088/0266-5611/14/1/004

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title = "Improved parametric reconstruction using variable projection optimization",

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",

month = dec,

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language = "English (US)",

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T1 - Improved parametric reconstruction using variable projection optimization

AU - Boada, Fernando

AU - Liang, Zhi Pei

AU - Haacke, E. Mark

PY - 1998/12/1

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N2 - 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.

AB - 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.

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Improved parametric reconstruction using variable projection optimization

Abstract

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