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Clinical evaluation of compression ratios using JPEG2000 on computed radiography chest images.
Sung, Min-Mo; Kim, Hee-Joung; Yoo, Sun Kook; Choi, Byoung-Wook; Nam, Ji-Eun; Kim, Hye-Sung; Lee, Jae-Hoon; Yoo, Hyung-Sik.
Afiliação
  • Sung MM; BK21 Project for Medical Sciences, Yonsei University, Seoul, Korea.
J Digit Imaging ; 15(2): 78-83, 2002 Jun.
Article em En | MEDLINE | ID: mdl-12297972
ABSTRACT
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 51 to 2001. 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 201 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 501 within a confidence level of 99%.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Radiografia Torácica / Tomografia Computadorizada por Raios X / Sistemas de Informação em Radiologia Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Digit Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Ano de publicação: 2002 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Radiografia Torácica / Tomografia Computadorizada por Raios X / Sistemas de Informação em Radiologia Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Digit Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Ano de publicação: 2002 Tipo de documento: Article