使用奇异值分解的99mTc-TRODAT单光子发射计算机断层扫描图像压缩。

IF 0.4 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Indian Journal of Nuclear Medicine Pub Date : 2023-04-01 Epub Date: 2023-06-08 DOI:10.4103/ijnm.ijnm_84_22
Jagrati Chaudhary, Anil Kumar Pandey, Angel Hemrom, Param Dev Sharma, Chetan Patel, Rakesh Kumar
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引用次数: 0

摘要

引言:本研究的目的是使用奇异值分解(SVD)将99mTc-TRODAT单光子发射计算机断层扫描(SPECT)图像压缩为可接受的压缩图像,然后计算压缩因子。材料和方法:计算2256张图像(48项99m Tc-TRODAT SPECT研究[48项研究X 47张跨轴图像=2256张跨轴成像])的图像数据集中的每张图像的SVD,并在截断小于阈值的奇异值后,重建压缩图像。计算每个图像的SVD计算时间和实现的压缩百分比。两位核医学医生在视觉上比较了压缩图像和原始图像,并将其标记为可接受或不可接受。具有临床细节丢失或存在压缩伪影的压缩图像被标记为不可接受。压缩图像的质量也使用以下图像质量指标进行了客观评估:误差、结构相似性(SSIM)、亮度、全局对比度(GCF)、每像素对比度(CPP)和模糊。我们还比较了根据压缩图像和原始图像估计的基底节TRODAT摄取。结果:核医学医师将每个图像标记为可接受的,因为他们发现压缩图像与其原始图像相同。亮度、GCF、CPP和模糊度量的值表明,压缩图像比原始图像噪声更小、更亮、更清晰。误差的中值(0.0006)和SSIM(0.93)表明压缩图像与其原始图像大致相同。在48项研究中的39项中,TRODAT摄取的百分比差异(在压缩图像和原始图像的基底节中)可以忽略不计(大约等于零)。在剩下的9项研究中,最大百分比差异为13%。TRODAT研究的SVD计算时间和压缩百分比分别为0.17398 s和54.61%。结论:采用SVD对99mTc-TRODAT SPECT扫描图像进行压缩,压缩率高达54.61%,压缩图像质量合格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

99m-Tc TRODAT Single-Photon Emission Computerized Tomography Scan Image Compression using Singular Value Decomposition.

99m-Tc TRODAT Single-Photon Emission Computerized Tomography Scan Image Compression using Singular Value Decomposition.

99m-Tc TRODAT Single-Photon Emission Computerized Tomography Scan Image Compression using Singular Value Decomposition.

99m-Tc TRODAT Single-Photon Emission Computerized Tomography Scan Image Compression using Singular Value Decomposition.

Introduction: The objective of the study was to compress 99m-Tc TRODAT single-photon emission computerized tomography (SPECT) scan image using Singular Value Decomposition (SVD) into an acceptable compressed image and then calculate the compression factor.

Materials and methods: The SVD of every image from the image dataset of 2256 images (of forty-eight 99m-Tc TRODAT SPECT studies [48 studies X 47 trans-axial images = 2256 trans-axial images]) was computed and after truncating singular values smaller than a threshold, the compressed image was reconstructed. The SVD computation time and percentage compression achieved were calculated for each image. Two nuclear medicine physicians visually compared compressed image with its original image, and labeled it as either acceptable or unacceptable. Compressed image having loss of clinical details or presence of compression artifact was labeled unacceptable. The quality of compressed image was also assessed objectively using the following image quality metrics: Error, structural similarity (SSIM), brightness, global contrast factor (GCF), contrast per pixel (CPP), and blur. We also compared the TRODAT uptake in basal ganglia estimated from the compressed image and original image.

Results: Nuclear Medicine Physician labeled each image acceptable, as they found compressed image identical to its original image. The values of brightness, GCF, CPP, and blur metrics show that compressed images are less noisy, brighter, and sharper than its original image. The median values of error (0.0006) and SSIM (0.93) indicate that the compressed images were approximately identical to its original image. In 39 out of 48 studies, the percentage difference in TRODAT uptake (in basal ganglia from compressed and original image) was negligible (approximately equal to zero). In remaining 9 studies, the maximum percentage difference was 13%. The SVD computation time and percentage compression achieved for a TRODAT study were 0.17398 s and up to 54.61%, respectively.

Conclusions: The compression factor up to 54.61% was achieved during 99m-Tc TRODAT SPECT scan image compression using SVD, for an acceptable compressed image.

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来源期刊
Indian Journal of Nuclear Medicine
Indian Journal of Nuclear Medicine RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
0.70
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发文量
46
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