Literature DB >> 17618703

Digital pathology: DICOM-conform draft, testbed, and first results.

Ralf Zwönitzer1, Thomas Kalinski, Harald Hofmann, Albert Roessner, Johannes Bernarding.   

Abstract

Hospital information systems are state of the art nowadays. Therefore, Digital Pathology, also labelled as Virtual Microscopy, has gained increased attention. Triggered by radiology, standardized information models and workflows were world-wide defined based on DICOM. However, DICOM-conform integration of Digital Pathology into existing clinical information systems imposes new problems requiring specific solutions concerning the huge amount of data as well as the special structure of the data to be managed, transferred, and stored. We implemented a testbed to realize and evaluate the workflow of digitized slides from acquisition to archiving. The experiences led to the draft of a DICOM-conform information model that accounted for extensions, definitions, and technical requirements necessary to integrate digital pathology in a hospital-wide DICOM environment. Slides were digitized, compressed, and could be viewed remotely. Real-time transfer of the huge amount of data was optimized using streaming techniques. Compared to a recent discussion in the DICOM Working Group for Digital Pathology (WG26) our experiences led to a preference of a JPEG2000/JPIP-based streaming of the whole slide image. The results showed that digital pathology is feasible but strong efforts by users and vendors are still necessary to integrate Digital Pathology into existing information systems.

Mesh:

Year:  2007        PMID: 17618703     DOI: 10.1016/j.cmpb.2007.05.010

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  8 in total

1.  [Pathowiki. A free expert database for pathology].

Authors:  M Rossner; F Rossner; R Zwönitzer; T Süss; H Hofmann; A Roessner; T Kalinski
Journal:  Pathologe       Date:  2012-03       Impact factor: 1.011

2.  Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data.

Authors:  David A Gutman; Jake Cobb; Dhananjaya Somanna; Yuna Park; Fusheng Wang; Tahsin Kurc; Joel H Saltz; Daniel J Brat; Lee A D Cooper
Journal:  J Am Med Inform Assoc       Date:  2013-07-25       Impact factor: 4.497

3.  Distributed computing in image analysis using open source frameworks and application to image sharpness assessment of histological whole slide images.

Authors:  Norman Zerbe; Peter Hufnagl; Karsten Schlüns
Journal:  Diagn Pathol       Date:  2011-03-30       Impact factor: 2.644

4.  Image standards in tissue-based diagnosis (diagnostic surgical pathology).

Authors:  Klaus Kayser; Jürgen Görtler; Torsten Goldmann; Ekkehard Vollmer; Peter Hufnagl; Gian Kayser
Journal:  Diagn Pathol       Date:  2008-04-18       Impact factor: 2.644

Review 5.  Pathology imaging informatics for quantitative analysis of whole-slide images.

Authors:  Sonal Kothari; John H Phan; Todd H Stokes; May D Wang
Journal:  J Am Med Inform Assoc       Date:  2013-08-19       Impact factor: 4.497

6.  Linking whole-slide microscope images with DICOM by using JPEG2000 interactive protocol.

Authors:  Vilppu J Tuominen; Jorma Isola
Journal:  J Digit Imaging       Date:  2009-05-05       Impact factor: 4.056

7.  Dicoogle, a PACS featuring profiled content based image retrieval.

Authors:  Frederico Valente; Carlos Costa; Augusto Silva
Journal:  PLoS One       Date:  2013-05-06       Impact factor: 3.240

8.  Circulating Tumor Cells: What Is in It for the Patient? A Vision towards the Future.

Authors:  Anja van de Stolpe; Jaap M J den Toonder
Journal:  Cancers (Basel)       Date:  2014-05-28       Impact factor: 6.639

  8 in total

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