Evaluation of Irreversible Compressed Images in Computed Radiography Using Physical Image Quality Measures

• Published in: Japanese Journal of Radiological Technology Vol. 65; no. 12; pp. 1618 - 1627
• Main Authors: Watanabe, Haruyuki, Tsai, Du-Yih, Lee, Yongbum, Nakamura, Tomohiro, Miyazaki, Masanori, Kuramochi, Yoshio, Kojima, Katsuyuki
• Format: Journal Article
• Language: English
• Published: Japanese Society of Radiological Technology 01.01.2009
• Subjects: image compression; image quality; JPEG; JPEG2000
• ISSN: 0369-4305; 1881-4883
• DOI: 10.6009/jjrt.65.1618

Joint photographic experts group(JPEG)and JPEG2000 are widely used as image compression algorithms in medical image database systems. Compressed images have been mainly evaluated by visual assessment on acceptable compression levels in clinical studies. However, to the best of our knowledge, little work has been done to clarify image properties based on physical analysis. In this work, investigations were made to clarify image properties based on physical analysis and to discuss the major causes of degradation related to compression ratios. The physical properties of JPEG2000-compressed and JPEG-compressed images in computed radiography(CR)were compared by measuring the characteristic curve, modulation transfer function(MTF), noise power spectrum(NPS), peak signal-to-noise ratio(PSNR), contrast-to-noise ratio(CNR), and noise equivalent quanta(NEQ). In the MTF measurement, the MTFs of JPEG at high compression ratio showed pronounced degradation at all frequencies. The NPS values of JPEG2000 tend to decrease considerably compared to that of the JPEG at all frequencies with the increase of compression ratio. Furthermore, JPEG2000 images showed higher PSNR, CNR, and NEQ values than JPEG images in the same compression ratio. In these signal-to-noise ratio measurements, good reproducibility of JPEG2000 images was achieved. Overall, JPEG2000 compressed images were far superior to JPEG compressed images. In the physical properties measured, these physical analyses are useful to comprehend physical properties for each irreversible compressed image related to compression ratios in CR.