Clinical evaluation of compression ratios using JPEG2000 on computed radiography chest images.
The efficient compression of radiographic images is of importance for improved storage and network utilization in support of picture archiving and communication systems (PACS) applications. The DICOM Working Group 4 adopted JPEG2000 as an additional compression standard in Supplement 61 over the existing JPEG. The wavelet-based JPEG2000 can achieve higher compression ratios with less distortion than the Discrete Cosine Transform (DCT)-based JPEG algorithm. However, the degradation of JPEG2000-compressed computed radiography (CR) chest images has not been tested comprehensively clinically. The authors evaluated the diagnostic quality of JPEG2000-compressed CR chest images with compression ratios from 5:1 to 200:1. An ROC (receiver operating characteristic analysis) and t test were performed to ascertain clinical performance using the JPEG2000-compressed images. The authors found that compression ratios as high as 20:1 can be utilized without affecting lesion detectability. Significant differences between the original and the compressed CR images were not recognized up to compression ratio of 50:1 within a confidence level of 99%.
Sung
Min-Mo
MM
BK21 Project for Medical Sciences, Yonsei University, Seoul, Korea.
Kim
Hee-Joung
HJ
Yoo
Sun Kook
SK
Choi
Byoung-Wook
BW
Nam
Ji-Eun
JE
Kim
Hye-Sung
HS
Lee
Jae-Hoon
JH
Yoo
Hyung-Sik
HS
D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted; D012372:ROC Curve; D013902:Radiography, Thoracic; D011873:Radiology Information Systems; D014057:Tomography, X-Ray Computed