Parallel image restoration with spatially variant point-spread-function - Description and first clinical results.

被引：3

作者：

Shearer, A ^{[1
]}

Gorman, G ^{[1
]}

O'Doherty, T ^{[1
]}

van der Putten, W ^{[1
]}

McCarthy, P ^{[1
]}

Jelen, L ^{[1
]}

机构：

[1] Natl Univ Ireland Univ Coll Galway, Ctr Informat Technol, Galway, Ireland

来源：

MEDICAL IMAGING: 2001: IMAGE PROCESSING, PTS 1-3 | 2001年 / 4322卷

关键词：

spatially variant PSF; computed radiography; deconvolution; wavelet denoising;

D O I：

10.1117/12.431157

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we present a parallel code which performs an iterative image deconvolution using either a spatially-invariant point spread function (SI-PSF) or a spatially-variant point spread function (SV-PSF). The basic algorithm (Richardson-Lucy Maximum-Likelihood iterative procedure) is described as well as a description of the parallel implementation. Applications and results in the area of medical x-ray imaging is discussed.

引用

页码：787 / 795

页数：3

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