{"title":"Diagnostic Quality of Compressed Medical Images: Objective and Subjective Evaluation","authors":"S. E. Ghrare, M. Ali, Munira Ismail, K. Jumari","doi":"10.1109/AMS.2008.10","DOIUrl":null,"url":null,"abstract":"Without image compression, images data would become much larger and consequently retrieval of images will be slow, thus telemedicine would in many situations be impractical. But it is natural to raise the question of how much an image can be compressed and still preserve sufficient information for a given clinical application. Evaluation of the diagnostic quality of compressed medical image still remains an important issue. In this paper, three different medical image modalities have been compressed and decompressed using DWT for different compression ratios and evaluated using objective and subjective testing. The quality of the reconstructed images has been measured using objective measures such as MSE, MAE, SNR, and PSNR. Ten observers have been involved to carry out the subjective evaluation. Based on the quality of the reconstructed images, the PSNR obtained has been between 35.3 dB to 58.0 dB for CT scan images, 38.6 dB to 55.0 dB for MRI and 34.5 dB to 51 MB for X-ray images. For radiology applications, the compression ratio of 30:1 is acceptable for CT images, and a compression ratio of 40:1 is acceptable for MRI, and compression ratio of 20:1 is acceptable for X-ray images.","PeriodicalId":122964,"journal":{"name":"2008 Second Asia International Conference on Modelling & Simulation (AMS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Second Asia International Conference on Modelling & Simulation (AMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMS.2008.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
Without image compression, images data would become much larger and consequently retrieval of images will be slow, thus telemedicine would in many situations be impractical. But it is natural to raise the question of how much an image can be compressed and still preserve sufficient information for a given clinical application. Evaluation of the diagnostic quality of compressed medical image still remains an important issue. In this paper, three different medical image modalities have been compressed and decompressed using DWT for different compression ratios and evaluated using objective and subjective testing. The quality of the reconstructed images has been measured using objective measures such as MSE, MAE, SNR, and PSNR. Ten observers have been involved to carry out the subjective evaluation. Based on the quality of the reconstructed images, the PSNR obtained has been between 35.3 dB to 58.0 dB for CT scan images, 38.6 dB to 55.0 dB for MRI and 34.5 dB to 51 MB for X-ray images. For radiology applications, the compression ratio of 30:1 is acceptable for CT images, and a compression ratio of 40:1 is acceptable for MRI, and compression ratio of 20:1 is acceptable for X-ray images.
如果没有图像压缩,图像数据将变得更大,因此图像检索将变得缓慢,因此在许多情况下远程医疗将是不切实际的。但是,人们自然会提出这样的问题:图像在被压缩多少的同时,还能保留足够的信息,以供临床应用。压缩医学图像的诊断质量评价仍然是一个重要的问题。在本文中,三种不同的医学图像模式已经压缩和解压缩使用DWT不同的压缩比,并使用客观和主观测试进行评估。利用MSE、MAE、SNR和PSNR等客观指标测量重建图像的质量。已派出10名观察员进行主观评价。根据重建图像的质量,CT扫描图像的PSNR在35.3 dB ~ 58.0 dB之间,MRI图像为38.6 dB ~ 55.0 dB, x射线图像为34.5 dB ~ 51mb。对于放射学应用,CT图像可接受的压缩比为30:1,MRI图像可接受的压缩比为40:1,x射线图像可接受的压缩比为20:1。