Decision on Compression Ratios for Real-Time Transfer of Ultrasound Sequences

  • Lee, Jae-Hoon (BK21 Project for Medical Sciences, Yonsei University College of Medicine) ;
  • Sung, Min-Mo (BK21 Project for Medical Sciences, Yonsei University College of Medicine) ;
  • Kim, Hee-Joung (BK21 Project for Medical Sciences, Yonsei University College of Medicine) ;
  • Yoo, Sun-Kwook (Research Institute of Radiological Science, Yonsei University College of Medicine) ;
  • Kim, Eun-Kyung (Dept. of Radiology, Yonsei University College of Medicine) ;
  • Kim, Dong-Keun (Dept. of Medical Engineering, Yonsei University College of Medicine) ;
  • Jung, Suk-Myung (Dept. of Medical Engineering, Yonsei University College of Medicine) ;
  • Yoo, Hyung-Sik (Dept. of Radiology, Yonsei University College of Medicine)
  • Published : 2002.09.01

Abstract

The need for video diagnosis in medicine has been increased and real-time transfer of digital video will be an important component in PACS and telemedicine. But, Network environment has certain limitations that the required throughput can not satisfy quality of service (QoS). MPEG-4 ratified as a moving video standard by the ISO/IEC provides very efficient video coding covering the various ranges of low bit-rate in network environment. We implemented MPEG-4 CODEC (coder/decoder) and applied various compression ratios to moving ultrasound images. These images were displayed in random order on a client monitor passed through network. Radiologists determined subjective opinion scores for evaluating clinically acceptable image quality and then these were statistically processed in the t-Test method. Moreover the MPEG-4 decoded images were quantitatively analyzed by computing peak signal-to-noise ratio (PSNR) to objectively evaluate image quality. The bit-rate to maintain clinically acceptable image quality was up to 0.8Mbps. We successfully implemented the adaptive throughput or bit-rate relative to the image quality of ultrasound sequences used MPEG-4 that can be applied for diagnostic performance in real-time.

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