Ringl Helmut, Schernthaner Ruediger E, Kulinna-Cosentini Christiane, Weber Michael, Schaefer-Prokop Cornelia, Herold Christian J, Schima Wolfgang
Department of Radiology, University Hospital Vienna, Währinger Gürtel 18-20, Vienna, Austria.
Radiology. 2007 Nov;245(2):467-74. doi: 10.1148/radiol.2452061713. Epub 2007 Sep 21.
To retrospectively determine the maximum compression ratio at which compressed images are indistinguishable from the original by using a three-dimensional (3D) wavelet algorithm.
The protocol of this study was approved by the local Institutional Review Board and informed consent was waived. Sixty emergency abdominal computed tomographic (CT) scans of patients (31 men, 29 women; mean age +/- standard deviation, 50.8 years +/- 20.1; range, 17-80 years) with acute abdominal pain were subjected to lossy irreversible three-dimensional Joint Photographic Experts Group 2000 (3D-JPEG2000) compression by using four compression ratios (4:1, 8:1, 12:1, and 16:1). Groups contained five patients for each of 12 common diagnoses for acute abdominal pain. Images were obtained by using a multidetector CT scanner (Sensation Cardiac 64; Siemens, Forcheim, Germany) with 3- and 6-mm-thick sections. Three radiologists independently compared one case-relevant image per patient with the original image at different compression ratios. They had to determine which image was the original by using a forced-choice, two-alternative model and to subjectively rank image quality. For analysis, a binomial test was used, a Bonferroni correction was applied, and a P value of .01 indicated a significant difference.
Images compressed at ratios of 4:1 and 8:1 were visually indistinguishable and essentially indistinguishable, respectively, from the original images (P > .01 for all readers). For the 12:1 and 16:1 ratios, all readers definitively (P < .001) identified the original images.
The highest 3D-JPEG2000 compression ratio for abdominal CT scans, at which compressed images are essentially indistinguishable from the original, is 8:1.
通过使用三维(3D)小波算法,回顾性确定压缩图像与原始图像无法区分时的最大压缩率。
本研究方案经当地机构审查委员会批准,无需知情同意。对60例因急性腹痛进行腹部急诊计算机断层扫描(CT)的患者(31名男性,29名女性;平均年龄±标准差,50.8岁±20.1岁;范围,17 - 80岁),采用四种压缩率(4:1、8:1、12:1和16:1)进行有损不可逆三维联合图像专家组2000(3D-JPEG2000)压缩。每组针对12种常见急性腹痛诊断各包含5名患者。使用多层螺旋CT扫描仪(Sensation Cardiac 64;西门子,德国福希姆)获取3毫米和6毫米厚层面的图像。三名放射科医生独立地将每位患者的一张与病例相关的图像与不同压缩率下的原始图像进行比较。他们必须通过强制选择、二选一模型确定哪张图像是原始图像,并对图像质量进行主观排序。分析时采用二项式检验,应用Bonferroni校正,P值小于0.01表示有显著差异。
压缩率为4:1和8:1的图像在视觉上分别与原始图像无法区分和基本无法区分(所有阅片者P>0.01)。对于12:1和16:1的压缩率,所有阅片者都能明确识别出原始图像(P<0.001)。
腹部CT扫描的3D-JPEG2000最高压缩率为8:1,此时压缩图像与原始图像基本无法区分。