Improved parametric reconstruction using variable projection optimization

被引：5

作者：

Boada, F

Liang, ZP

Haacke, EM

机构：

[1] Univ Pittsburgh, Med Ctr, MR Res Ctr, Dept Radiol, Pittsburgh, PA 15213 USA

[2] Univ Illinois, Dept Elect & Comp Engn, Urbana, IL 61801 USA

[3] Univ Illinois, Beckman Inst Adv Sci & Technol, Urbana, IL 61801 USA

[4] Washington Univ, Med Ctr, Mallinckrodt Inst Radiol, St Louis, MO 63110 USA

来源：

INVERSE PROBLEMS | 1998年 / 14卷 / 01期

关键词：

D O I：

10.1088/0266-5611/14/1/004

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

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.

引用

收藏

页码：19 / 27

页数：9

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