Akazawa Kouhei, Kameyama Shigeki, Mase Ryuzo, Yamayaka Tomoko, Hashiba Masao
Departmetn of Medical Informatics, Niigata University Medical Hospital.
Med Inform Internet Med. 2004 Mar;29(1):57-63. doi: 10.1080/14639230410001662110.
The objective of this study was to compare the clinical usefulness, in the field of epileptology, of digital moving images and electroencephalogram (EEG) waveforms by Motion Pictures Expert Group compression algorithms (MPEG-1 and MPEG-2) to that of conventional analogue recording.
Three epileptic seizure scenes consisting of moving images and the corresponding EEG waveforms in an epileptic patient were selected as the images to be evaluated. Each scene was recorded using MPEG-1, MPEG-2 and videotape. Ten doctors used six criteria to evaluate the quality of moving images, EEG data and audio.
Analysis of variance and Bonferroni tests indicated that the image quality of MPEG-2 was superior to that of MPEG-1 or videotape for all criteria. Furthermore, MPEG-2 obtained much higher scores in EEG waveform quality than did the other modalities.
Our findings suggested that data from MPEG-2 images will lead to more precise diagnosis and treatment decision-making than data from analogue videotape recordings.
本研究的目的是在癫痫学领域,比较采用动态图像专家组压缩算法(MPEG-1和MPEG-2)的数字动态图像和脑电图(EEG)波形与传统模拟记录的临床实用性。
选取一名癫痫患者的三个包含动态图像及相应EEG波形的癫痫发作场景作为待评估图像。每个场景分别采用MPEG-1、MPEG-2和录像带进行记录。十名医生使用六项标准评估动态图像、EEG数据和音频的质量。
方差分析和Bonferroni检验表明,对于所有标准,MPEG-2的图像质量均优于MPEG-1或录像带。此外,MPEG-2在EEG波形质量方面获得的分数远高于其他方式。
我们的研究结果表明,与模拟录像带记录的数据相比,MPEG-2图像的数据将带来更精确的诊断和治疗决策。