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使用 Wiener 滤波器重建 I-131 全身影像。

Restoration of I-131 whole body image using a Wiener filter.

机构信息

Department of Nuclear Medicine, All India Institute of Medical Sciences.

Department of Computer Science, SGTB Khalsa College, University of Delhi, New Delhi, India.

出版信息

Nucl Med Commun. 2020 May;41(5):426-435. doi: 10.1097/MNM.0000000000001176.

Abstract

INTRODUCTION

The aim of the study was to restore I-131 whole body image using Wiener filter.

MATERIAL AND METHODS

A set of 50 I-131 whole body images acquired using Symbia E dual head gamma camera with high energy general purpose collimator was used. The Gaussian point-spread function (PSF) characterised by the size (3, 5, 7, 9, 11, and 13 pixels) and corresponding standard deviation (0.5, 0.75, 1, 1.5, 1.75, and 2 pixels) and noise-to-signal power ratios (NSR: 0, 0.001, 0.01, 0.1, 0.2, 0.3, 0.4, and 0.5) were used as parameters for Wiener filter. Using the combinations of PSF and NSR, a total of 2450 images (50 × 49 = 2450 images, where 49 images include 1 input and 48 restored images for each input image) were generated and inspected by two nuclear medicine physicians. They selected one best image (the image which had less noise and better contrast between the lesion and background in comparison with the input image). Their results were analyzed.

RESULTS

Compared to input image, the metastatic uptake in restored images was very easily perceived. The restored image obtained with PSF (size = 13, sigma = 2) and NSR = 0.3 had better signal-to-noise ratio in comparison to restored image obtained with PSF (size = 11, sigma = 1.75) and NSR = 0.2.

CONCLUSION

The restored images with PSF (size = 13, sigma = 2) and NSR = 0.3 were found to have superior image quality in comparison with its input image.

摘要

简介

本研究旨在使用 Wiener 滤波器恢复 I-131 全身图像。

材料与方法

使用 Symbia E 双头伽玛相机和高能通用准直器采集了一组 50 张 I-131 全身图像。使用高斯点扩散函数 (PSF)(大小为 3、5、7、9、11 和 13 像素,相应的标准差为 0.5、0.75、1、1.5、1.75 和 2 像素)和噪声与信号功率比 (NSR:0、0.001、0.01、0.1、0.2、0.3、0.4 和 0.5) 作为 Wiener 滤波器的参数。使用 PSF 和 NSR 的组合,总共生成了 2450 张图像(50×49=2450 张图像,其中 49 张图像包括 1 张输入图像和每张输入图像的 48 张恢复图像),由两名核医学医师进行检查。他们选择了一张最佳图像(与输入图像相比,病变与背景之间噪声更小、对比度更好的图像)。分析了他们的结果。

结果

与输入图像相比,转移性摄取在恢复图像中很容易被感知。与 PSF(大小=11,标准差=1.75)和 NSR=0.2 相比,PSF(大小=13,标准差=2)和 NSR=0.3 恢复图像的信噪比更高。

结论

与输入图像相比,PSF(大小=13,标准差=2)和 NSR=0.3 的恢复图像的图像质量更高。

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