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JPEG2000三维压缩与二维压缩:薄扫腹部CT图像压缩中伪影量及计算时间的评估

JPEG2000 3D compression vs. 2D compression: an assessment of artifact amount and computing time in compressing thin-section abdomen CT images.

作者信息

Kim Bohyoung, Lee Kyoung Ho, Kim Kil Joong, Richter Thomas, Kang Heung-Sik, Kim So Yeon, Kim Young Hoon, Seo Jinwook

机构信息

School of Computer Science and Engineering, Seoul National University, 599 Gwanak-Ro, Gwanak-Gu, Seoul 151-744, Korea.

出版信息

Med Phys. 2009 Mar;36(3):835-44. doi: 10.1118/1.3075824.

Abstract

To assess the advantages of the Joint Photographic Experts Group (JPEG)2000 3D (part 2) over JPEG2000 in compressing thin-section abdomen CT data sets, 60 thin-section (0.67 mm) scans from 35 males and 25 females, ranging from 23 to 95 years of age (mean, 58 years), were compressed reversibly (as a negative control) and irreversibly to 4:1, 6:1, 8:1, 10:1, and 12:1 using JPEG2000 3D and JPEG2000 algorithms. Encoding and decoding times and peak signal-to-noise ratios (PSNRs) were measured. For 60 (one image per scan) representative sections containing abnormalities, three radiologists independently compared original and compressed images and graded compression artifacts as 0 (none, indistinguishable), 1 (barely perceptible), 2 (subtle), or 3 (significant). According to pooled radiologists' responses, the range of visually lossless threshold (VLT, the highest compression ratio at which a compressed image is indistinguishable from its original) was determined as one of <4:1, 4:1-6:1, 6:1-8:1, 8:1-10:1, 10:1-12:1, and >12:1. Wilcoxon signed rank tests and exact tests for paired proportions were used for the comparisons between the two compressions. At each irreversible compression ratio, compared to JPEG2000, JPEG2000 3D required two- or threefold greater computing times (p < 0.001) and introduced less artifacts in terms of PSNR (p <0.001) and the grade (p < 0.02 at 6:1 or higher) and the presence of perceived artifacts (p <0.008, at 6:1 for all readers and at 8:1 for two readers). According to PSNR and readers' responses, 6:1 and 8:1 JPEG2000 3D compressions showed more artifacts than 4:1 and 6:1 JPEG2000 compressions, respectively, and 10:1 and 12:1 JPEG2000 3D compressions showed similar artifacts to those of 8:1 and 10:1 JPEG2000 compressions, respectively. The determined VLT range was higher for JPEG2000 3D than for JPEG2000 (p < 0.001): the 3D compression showed the VLT ranges of 4:1-6:1, 6:1-8:1, and 8:1-10:1 for 24 (40%), 30 (50%), and 6 (10%) of the 60 original images, respectively, while the 2D compression showed the VLT ranges of <4:1, 4:1-6:1, and 6:1-8:1 for 1 (1.7%), 40 (66.7%), and 19 (31.6%) images, respectively. Compared to JPEG2000, JPEG2000 3D increased the VLT range in 23 of the 60 original images by one (n=22) or two ranges (n=1), while the remaining 37 images had the same VLT range between the two compressions. In conclusion, compared to JPEG2000 compression, JPEG2000 3D compression yields less artifacts in compressing thin-section abdomen CT images but requires significantly greater computing times. For the tested data set compressed to the range from 4:1 to 12:1, JPEG2000 3D could increase compression level reasonably (by 2 or less in terms of compression ratio) compared to JPEG2000 for the same amount of artifacts.

摘要

为评估联合图像专家组(JPEG)2000 3D(第2部分)在压缩腹部薄层CT数据集方面相对于JPEG2000的优势,我们对35名男性和25名女性的60例薄层(0.67毫米)扫描图像进行了研究,这些患者年龄在23至95岁之间(平均58岁)。使用JPEG2000 3D和JPEG2000算法将图像分别进行可逆压缩(作为阴性对照)和不可逆压缩,压缩比例分别为4:1、6:1、8:1、10:1和12:1。测量了编码和解码时间以及峰值信噪比(PSNR)。对于60个(每次扫描一幅图像)包含异常的代表性切片,三名放射科医生独立比较原始图像和压缩图像,并将压缩伪影评为0级(无,难以区分)、1级(勉强可察觉)、2级(轻微)或3级(明显)。根据放射科医生的综合反馈,确定视觉无损阈值(VLT,即压缩图像与原始图像难以区分的最高压缩比例)范围为<4:1、4:1 - 6:1、6:1 - 8:1、8:1 - 10:1、10:1 - 12:1和>12:1中的一个。采用Wilcoxon符号秩检验和配对比例的精确检验对两种压缩方法进行比较。在每个不可逆压缩比例下,与JPEG2000相比,JPEG2000 3D所需的计算时间长两到三倍(p < 0.001),并且在PSNR方面(p < 0.001)、分级方面(6:1及更高比例时p < 0.02)以及可察觉伪影的存在方面(所有读者在6:1时p < 0.008,两名读者在8:1时p < 0.008)引入的伪影更少。根据PSNR和读者反馈,JPEG2000 3D在6:1和8:1压缩时分别比JPEG2000在4:1和6:1压缩时显示出更多伪影,JPEG2000 3D在10:1和12:1压缩时分别与JPEG2000在8:1和10:1压缩时显示出相似的伪影。JPEG2000 3D确定的VLT范围高于JPEG2000(p < 0.001):在60幅原始图像中,3D压缩分别在24幅(40%)、30幅(50%)和6幅(10%)图像中显示出4:1 - 6:1、6:1 - 8:1和8:1 - 10:1的VLT范围,而2D压缩分别在1幅(1.7%)、40幅(66.7%)和19幅(31.6%)图像中显示出<4:1、4:1 - 6:1和6:1 - 8:1的VLT范围。与JPEG2000相比,JPEG2000 3D在60幅原始图像中的23幅中使VLT范围提高了一个等级(n = 22)或两个等级(n = 1),而其余37幅图像在两种压缩方法下的VLT范围相同。总之,与JPEG2000压缩相比,JPEG2000 3D压缩在压缩腹部薄层CT图像时产生的伪影更少,但所需的计算时间显著更长。对于压缩至4:1至12:1范围的测试数据集,与JPEG2000相比,在相同伪影量的情况下,JPEG2000 3D可以合理提高压缩水平(压缩比提高2或更低)。

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