心肌灌注单光子发射计算机断层扫描（SPECT）图像去噪：一项对比研究。

Myocardial Perfusion Single-Photon Emission Computed Tomography (SPECT) Image Denoising: A Comparative Study.

作者信息

Rahimian Abdurrahim, Etehadtavakol Mahanaz, Moslehi Masoud, Ng Eddie Y K

机构信息

Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan 81745-33871, Iran.

School of Mechanical and Aerospace Engineering, College of Engineering, Nanyang Technological University, Singapore 639798, Singapore.

出版信息

Diagnostics (Basel). 2023 Feb 7;13(4):611. doi: 10.3390/diagnostics13040611.

DOI:10.3390/diagnostics13040611

PMID:36832099

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9954870/

Abstract

The present study aimed to evaluate the effectiveness of different filters in improving the quality of myocardial perfusion single-photon emission computed tomography (SPECT) images. Data were collected using the Siemens Symbia T2 dual-head SPECT/Computed tomography (CT) scanner. Our dataset included more than 900 images from 30 patients. The quality of the SPECT was evaluated after applying filters such as the Butterworth, Hamming, Gaussian, Wiener, and median-modified Wiener filters with different kernel sizes, by calculating indicators such as the signal-to-noise ratio (SNR), peak signal-to-noise ratio (PSNR), and contrast-to-noise ratio (CNR). SNR and CNR were highest with the Wiener filter with a kernel size of 5 × 5. Additionally, the Gaussian filter achieved the highest PSNR. The results revealed that the Wiener filter, with a kernel size of 5 × 5, outperformed the other filters for denoising images of our dataset. The novelty of this study includes comparison of different filters to improve the quality of myocardial perfusion SPECT. As far as we know, this is the first study to compare the mentioned filters on myocardial perfusion SPECT images, using our datasets with specific noise structures and mentioning all the elements necessary for its presentation within one document.

摘要

本研究旨在评估不同滤波器在提高心肌灌注单光子发射计算机断层扫描（SPECT）图像质量方面的有效性。使用西门子Symbia T2双头SPECT/计算机断层扫描（CT）扫描仪收集数据。我们的数据集包括来自30名患者的900多张图像。通过计算信噪比（SNR）、峰值信噪比（PSNR）和对比噪声比（CNR）等指标，在应用具有不同内核大小的巴特沃斯、汉明、高斯、维纳和中值修正维纳滤波器等滤波器后，评估SPECT的质量。内核大小为5×5的维纳滤波器的SNR和CNR最高。此外，高斯滤波器的PSNR最高。结果表明，内核大小为5×5的维纳滤波器在对我们数据集中的图像进行去噪方面优于其他滤波器。本研究的新颖之处包括比较不同滤波器以提高心肌灌注SPECT的质量。据我们所知，这是第一项使用具有特定噪声结构的数据集并在一份文档中提及呈现所需的所有要素，在心肌灌注SPECT图像上比较上述滤波器的研究。