Literature DB >> 22095374

Lossless compression of JPEG2000 whole slide images is not required for diagnostic virtual microscopy.

Thomas Kalinski1, Ralf Zwönitzer, Florian Grabellus, Sien-Yi Sheu, Saadettin Sel, Harald Hofmann, Albert Roessner.   

Abstract

The use of lossy compression in medical imaging is controversial, although it is inevitable to reduce large data amounts. In contrast with lossy compression, lossless compression does not impair image quality. In addition to our previous studies, we evaluated virtual 3-dimensional microscopy using JPEG2000 whole slide images of gastric biopsy specimens with or without Helicobacter pylori gastritis using lossless compression (1:1) or lossy compression with different compression levels: 5:1, 10:1, and 20:1. The virtual slides were diagnosed in a blinded manner by 3 pathologists using the updated Sydney classification. The results showed no significant differences in the diagnosis of H pylori between the different levels of compression in virtual microscopy. We assume that lossless compression is not required for diagnostic virtual microscopy. The limits of lossy compression in virtual microscopy without a loss of diagnostic quality still need to be determined. Analogous to the processes in radiology, recommendations for the use of lossy compression in diagnostic virtual microscopy have to be worked out by pathology societies.

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Year:  2011        PMID: 22095374     DOI: 10.1309/AJCPYI1Z3TGGAIEP

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  6 in total

1.  Impact of JPEG 2000 compression on deep convolutional neural networks for metastatic cancer detection in histopathological images.

Authors:  Farhad Ghazvinian Zanjani; Svitlana Zinger; Bastian Piepers; Saeed Mahmoudpour; Peter Schelkens; Peter H N de With
Journal:  J Med Imaging (Bellingham)       Date:  2019-04-24

2.  SlideToolkit: an assistive toolset for the histological quantification of whole slide images.

Authors:  Bastiaan G L Nelissen; Joost A van Herwaarden; Frans L Moll; Paul J van Diest; Gerard Pasterkamp
Journal:  PLoS One       Date:  2014-11-05       Impact factor: 3.240

3.  Whole slide image data utilization informed by digital diagnosis patterns.

Authors:  Kimberly Ashman; Huimin Zhuge; Erin Shanley; Sharon Fox; Shams Halat; Andrew Sholl; Brian Summa; J Quincy Brown
Journal:  J Pathol Inform       Date:  2022-06-30

4.  How to prepare neuroanatomical image data.

Authors:  Nathan O'Connor; Susan Tappan; Jacob Glaser
Journal:  Curr Protoc Neurosci       Date:  2014-10-08

5.  Optimized JPEG 2000 Compression for Efficient Storage of Histopathological Whole-Slide Images.

Authors:  Henrik Helin; Teemu Tolonen; Onni Ylinen; Petteri Tolonen; Juha Näpänkangas; Jorma Isola
Journal:  J Pathol Inform       Date:  2018-05-25

6.  Improved 3D U-Net robustness against JPEG 2000 compression for male pelvic organ segmentation in radiotherapy.

Authors:  Karim El Khoury; Martin Fockedey; Eliott Brion; Benoît Macq
Journal:  J Med Imaging (Bellingham)       Date:  2021-04-05
  6 in total

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