Helin Henrik, Tolonen Teemu, Ylinen Onni, Tolonen Petteri, Näpänkangas Juha, Isola Jorma
BioMediTech, Faculty of Medicine, Tampere University, Tampere, Finland.
Department of Pathology, Fimlab Laboratories, Tampere University Hospital, Tampere, Finland.
J Pathol Inform. 2018 May 25;9:20. doi: 10.4103/jpi.jpi_69_17. eCollection 2018.
Whole slide images (WSIs, digitized histopathology glass slides) are large data files whose long-term storage remains a significant cost for pathology departments. Currently used WSI formats are based on lossy image compression alogrithms, either using JPEG or its more efficient successor JPEG 2000. While the advantages of the JPEG 2000 algorithm (JP2) are commonly recognized, its compression parameters have not been fully optimized for pathology WSIs.
We defined an optimized parametrization for JPEG 2000 image compression, designated JP2-WSI, to be used specifically with histopathological WSIs. Our parametrization is based on allowing a very high degree of compression on the background part of the WSI while using a conventional amount of compression on the tissue-containing part of the image, resulting in high overall compression ratios.
When comparing the compression power of JP2-WSI to the commonly used fixed 35:1 compression ratio JPEG 2000 and the default image formats of proprietary Aperio, Hamamatsu, and 3DHISTECH scanners, JP2-WSI produced the smallest file sizes and highest overall compression ratios for all 17 slides tested. The image quality, as judged by visual inspection and peak signal-to-noise ratio (PSNR) measurements, was equal to or better than the compared image formats. The average file size by JP2-WSI amounted to 15, 9, and 16 percent, respectively, of the file sizes of the three commercial scanner vendors' proprietary file formats (3DHISTECH MRXS, Aperio SVS, and Hamamatsu NDPI). In comparison to the commonly used 35:1 compressed JPEG 2000, JP2-WSI was three times more efficient.
JP2-WSI allows very efficient and cost-effective data compression for whole slide images without loss of image information required for histopathological diagnosis.
全切片图像(WSIs,数字化组织病理学玻璃切片)是大型数据文件,其长期存储对病理科来说仍是一项巨大成本。目前使用的WSI格式基于有损图像压缩算法,要么使用JPEG,要么使用其更高效的后继者JPEG 2000。虽然JPEG 2000算法(JP2)的优势已得到普遍认可,但其压缩参数尚未针对病理WSIs进行充分优化。
我们定义了一种用于JPEG 2000图像压缩的优化参数设置,称为JP2-WSI,专门用于组织病理学WSIs。我们的参数设置基于在WSI的背景部分允许非常高的压缩率,同时在图像中包含组织的部分使用常规压缩量,从而实现高总体压缩率。
将JP2-WSI的压缩能力与常用的固定35:1压缩率的JPEG 2000以及Aperio、Hamamatsu和3DHISTECH专有扫描仪的默认图像格式进行比较时,对于所有测试的17张切片,JP2-WSI产生的文件大小最小,总体压缩率最高。通过目视检查和峰值信噪比(PSNR)测量判断,图像质量与比较的图像格式相当或更好。JP2-WSI生成的平均文件大小分别相当于三家商业扫描仪供应商专有文件格式(3DHISTECH MRXS、Aperio SVS和Hamamatsu NDPI)文件大小的15%、9%和16%。与常用的35:1压缩的JPEG 2000相比,JP2-WSI的效率高出三倍。
JP2-WSI可为全切片图像实现非常高效且经济高效的数据压缩,同时不会丢失组织病理学诊断所需的图像信息。