Comparison of Low-Pass Filters for SPECT Imaging.

IF 3.3 Q2 ENGINEERING, BIOMEDICAL International Journal of Biomedical Imaging Pub Date : 2020-04-01 eCollection Date: 2020-01-01 DOI:10.1155/2020/9239753
Inayatullah S Sayed, Siti S Ismail
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引用次数: 3

Abstract

In single photon emission computed tomography (SPECT) imaging, the choice of a suitable filter and its parameters for noise reduction purposes is a big challenge. Adverse effects on image quality arise if an improper filter is selected. Filtered back projection (FBP) is the most popular technique for image reconstruction in SPECT. With this technique, different types of reconstruction filters are used, such as the Butterworth and the Hamming. In this study, the effects on the quality of reconstructed images of the Butterworth filter were compared with the ones of the Hamming filter. A Philips ADAC forte gamma camera was used. A low-energy, high-resolution collimator was installed on the gamma camera. SPECT data were acquired by scanning a phantom with an insert composed of hot and cold regions. A Technetium-99m radioactive solution was homogenously mixed into the phantom. Furthermore, a symmetrical energy window (20%) centered at 140 keV was adjusted. Images were reconstructed by the FBP method. Various cutoff frequency values, namely, 0.35, 0.40, 0.45, and 0.50 cycles/cm, were selected for both filters, whereas for the Butterworth filter, the order was set at 7. Images of hot and cold regions were analyzed in terms of detectability, contrast, and signal-to-noise ratio (SNR). The findings of our study indicate that the Butterworth filter was able to expose more hot and cold regions in reconstructed images. In addition, higher contrast values were recorded, as compared to the Hamming filter. However, with the Butterworth filter, the decrease in SNR for both types of regions with the increase in cutoff frequency as compared to the Hamming filter was obtained. Overall, the Butterworth filter under investigation provided superior results than the Hamming filter. Effects of both filters on the quality of hot and cold region images varied with the change in cutoff frequency.

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SPECT成像低通滤波器的比较。
在单光子发射计算机断层扫描(SPECT)成像中,选择合适的滤波器及其参数以达到降噪目的是一个很大的挑战。如果选择不合适的滤镜,会对图像质量产生不利影响。滤波反投影(FBP)是SPECT中最常用的图像重建技术。利用这种技术,使用不同类型的重建滤波器,如巴特沃斯和汉明。本研究比较了巴特沃斯滤波器与汉明滤波器对重建图像质量的影响。使用飞利浦ADAC强光伽马相机。在伽马照相机上安装了一个低能量、高分辨率的准直器。SPECT数据是通过扫描一个由冷热区组成的插入体来获得的。将锝-99m放射性溶液均匀地混合到幻影中。此外,调节了以140 keV为中心的对称能量窗(20%)。采用FBP方法重建图像。不同的截止频率值,即0.35,0.40,0.45和0.50周期/厘米,被选择为两个滤波器,而巴特沃斯滤波器,顺序设置为7。根据可检测性、对比度和信噪比(SNR)对冷热地区的图像进行分析。我们的研究结果表明,巴特沃斯滤波器能够在重建图像中暴露更多的冷热区域。此外,与汉明滤波器相比,记录了更高的对比度值。然而,与汉明滤波器相比,使用巴特沃斯滤波器,两种类型的区域的信噪比都随着截止频率的增加而降低。总的来说,所研究的巴特沃斯滤波器比汉明滤波器提供了更好的结果。两种滤波器对冷热区图像质量的影响随截止频率的变化而变化。
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来源期刊
CiteScore
12.00
自引率
0.00%
发文量
11
审稿时长
20 weeks
期刊介绍: The International Journal of Biomedical Imaging is managed by a board of editors comprising internationally renowned active researchers. The journal is freely accessible online and also offered for purchase in print format. It employs a web-based review system to ensure swift turnaround times while maintaining high standards. In addition to regular issues, special issues are organized by guest editors. The subject areas covered include (but are not limited to): Digital radiography and tomosynthesis X-ray computed tomography (CT) Magnetic resonance imaging (MRI) Single photon emission computed tomography (SPECT) Positron emission tomography (PET) Ultrasound imaging Diffuse optical tomography, coherence, fluorescence, bioluminescence tomography, impedance tomography Neutron imaging for biomedical applications Magnetic and optical spectroscopy, and optical biopsy Optical, electron, scanning tunneling/atomic force microscopy Small animal imaging Functional, cellular, and molecular imaging Imaging assays for screening and molecular analysis Microarray image analysis and bioinformatics Emerging biomedical imaging techniques Imaging modality fusion Biomedical imaging instrumentation Biomedical image processing, pattern recognition, and analysis Biomedical image visualization, compression, transmission, and storage Imaging and modeling related to systems biology and systems biomedicine Applied mathematics, applied physics, and chemistry related to biomedical imaging Grid-enabling technology for biomedical imaging and informatics
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