An automatic method to determine cutoff frequency based on image power spectrum

被引：11

作者：

Beis, JS ^{[1
]}

Celler, A ^{[1
]}

Barney, JS ^{[1
]}

机构：

[1] VANCOUVER HOSP & HLTH SCI CTR,DIV NUCL MED,VANCOUVER,BC,CANADA

来源：

IEEE TRANSACTIONS ON NUCLEAR SCIENCE | 1995年 / 42卷 / 06期

基金：

英国医学研究理事会;

关键词：

D O I：

10.1109/23.489422

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present an algorithm for automatically choosing filter cutoff frequency (F-c) using the power spectrum of the projections. The method is based on the assumption that the expectation of the image power spectrum is the sum of the expectation of the blurred object power spectrum (dominant at low. frequencies) plus a constant value due to Poisson noise. BS' considering the discrete components of the noise-dominated high-frequency spectrum as a Gaussian distribution N(mu, sigma), the Student t-test determines F-c as the highest frequency for which the image frequency components are unlikely to be drawn from N(mu, sigma). The method is general and can be applied to any filter, In this work, we tested the approach using the Metz restoration filter on simulated, phantom, and patient data vith good results, Quantitative performance of the technique was evaluated bq plotting recovery coefficient (RC) versus NMSE of reconstructed images.

引用

页码：2250 / 2254

页数：5