Download
document (63).pdf 510,33KB
WeightNameValue
1000 Titel
  • Optimal Image Data Compression For Whole Slide Images
1000 Autor/in
  1. Isola, J. |
1000 Erscheinungsjahr 2016
1000 Publikationstyp
  1. Kongressschrift |
  2. Artikel |
1000 Online veröffentlicht
  • 2016-06-08
1000 Erschienen in
1000 Quellenangabe
  • 1(8):172
1000 Übergeordneter Kongress
1000 Copyrightjahr
  • 2016
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.17629/www.diagnosticpathology.eu-2016-8:172 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • INTRODUCTION / BACKGROUND: Whole slide scanning is rapidly entering routine pathology laboratories. Modern scanners enable digitization of tens or even hundreds of thousands slides each year. If all WSI images are stored permanently, hundreds of terabytes image files need to be stored. It is essential to use image storage methods that preserve the scan image quality, but also keep storage costs in a reasonable level. AIMS: Today all WSIs are stored with lossy compression methods using a variety of different file formats. At the practical level it is important to find an image file format, which results in small-sized image files but retaining image quality as “visually lossless”. METHODS: In this study we compared file formats ofHamamatsu, Aperio, and 3D-Histech scanners to standard JPEG2000 and to JPEG2000 specially optimized for brightfield histology WSIs. As for image quality readout we used standardized resolution charts, and evaluation by three pathologists who ranked the images by their visual quality, when displayed on a 4K computer monitor. RESULTS: Differences in WSI file sizes of scanned images deemed “visually lossless” were significant. If we set Hamamatsu Nanozoomer .NDPI file size (using its default “jpeg80 quality”) as 100%, the size of a “visually lossless” JPEG2000 file was only 15-20% of that. Comparisons to Aperio and 3D-Histech files (.svs and .mrxs at their default settings) yielded similar results. A further optimization of JPEG2000 was done by treating empty slide area as uniform white-grey surface, which could be maximally compressed. Using this algorithm, JPEG2000 file sizes were only half, or even smaller, of original JPEG2000. Variation was due to the proportion of empty slide area on the scan. We anticipate that wavelet-based image compression methods, such as JPEG2000, have a significant advantage in saving storage costs of scanned whole slide image. In routine pathology laboratories applying WSI technology widely to their histology material, absolute cost savings can be substantial.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/SXNvbGEsIEou
1000 Label
1000 Förderer
  1. Verein für den biol. technol. Fortschritt in der Medizin, Heidelberg |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
  1. Optimal Image Data Compression For Whole Slide Images
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Verein für den biol. technol. Fortschritt in der Medizin, Heidelberg |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6432512.rdf
1000 Erstellt am 2022-03-25T16:40:46.378+0100
1000 Erstellt von 218
1000 beschreibt frl:6432512
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet 2022-08-18T13:10:19.305+0200
1000 Objekt bearb. Thu May 12 20:11:09 CEST 2022
1000 Vgl. frl:6432512
1000 Oai Id
  1. oai:frl.publisso.de:frl:6432512 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source