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基于胶片、TIFF格式以及小波压缩的数字化颞下颌关节图像的诊断准确性

Diagnostic accuracy of film-based, TIFF, and wavelet compressed digital temporomandibular joint images.

作者信息

Trapnell C J, Scarfe W C, Cook J H, Silvejra A M, Regennitter F J, Haskell B S

机构信息

University of Louisville School of Dentistry, KY 40292, USA.

出版信息

J Digit Imaging. 2000 Feb;13(1):38-45. doi: 10.1007/BF03168339.

Abstract

The purpose of this research was to determine if digitization and the application of various compression routines to digital images of temporomandibular joint (TMJ) radiographs would diminish observer accuracy in the detection of specific osseous characteristics associated with TMJ degenerative joint disease (DJD). Nine observers viewed 6 cropped hard-copy radiographic films each of 34 TMJs (17 radiographic series). Regions of interest measuring 2 in x 2 in were digitized using an 8-bit scanner with transparency adapter at 300 dpi. The images were placed into a montage of 6 images and stored as tagged image file format (TIFF), compressed at 4 levels (25:1, 50:1, 75:1, and 100:1) using a wavelet algorithm, and displayed to the observers on a computer monitor. Their observations regarding condylar faceting, sclerosis, osteophyte formation, erosion, and abnormal shape were analyzed using ROC. Kappa values were determined for relative condylar size and condylar position within the glenoid fossa. Indices were compared using ANOVA at a significance level of P < .05. Although significant and substantial observer variability was demonstrated, there were no statistically significant differences between image modalities, except for condylar position, in which TIFF and wavelet (at all compression ratios) performed better than the original image. For faceting, wavelet 100:1 performed better than radiographic film images. Little actual image file reduction was achieved at compression ratios above 25:1.

摘要

本研究的目的是确定数字化以及对颞下颌关节(TMJ)X线片数字图像应用各种压缩程序是否会降低观察者检测与TMJ退行性关节病(DJD)相关的特定骨质特征的准确性。九名观察者查看了34个TMJ(17个X线片系列)中每个TMJ的6张裁剪后的硬拷贝X线片。使用带有透明适配器的8位扫描仪以300 dpi对2英寸×2英寸的感兴趣区域进行数字化处理。将图像放入6幅图像的蒙太奇中,并以标记图像文件格式(TIFF)存储,使用小波算法以4个级别(25:1、50:1、75:1和100:1)进行压缩,并在计算机显示器上显示给观察者。使用ROC分析他们关于髁突小平面、硬化、骨赘形成、侵蚀和异常形状的观察结果。确定关节窝内相对髁突大小和髁突位置的kappa值。使用方差分析(ANOVA)在显著性水平P <.05下比较各项指标。尽管显示出观察者存在显著且较大的变异性,但除了髁突位置外,各图像模式之间在统计学上没有显著差异,在髁突位置方面,TIFF和小波图像(在所有压缩比下)的表现均优于原始图像。对于小平面,小波100:1的表现优于X线片图像。在压缩比高于25:1时,实际图像文件减少很少。

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