Literature DB >> 28602907

An efficient architecture to support digital pathology in standard medical imaging repositories.

Tiago Marques Godinho1, Rui Lebre2, Luís Bastião Silva3, Carlos Costa4.   

Abstract

In the past decade, digital pathology and whole-slide imaging (WSI) have been gaining momentum with the proliferation of digital scanners from different manufacturers. The literature reports significant advantages associated with the adoption of digital images in pathology, namely, improvements in diagnostic accuracy and better support for telepathology. Moreover, it also offers new clinical and research applications. However, numerous barriers have been slowing the adoption of WSI, among which the most important are performance issues associated with storage and distribution of huge volumes of data, and lack of interoperability with other hospital information systems, most notably Picture Archive and Communications Systems (PACS) based on the DICOM standard. This article proposes an architecture of a Web Pathology PACS fully compliant with DICOM standard communications and data formats. The solution includes a PACS Archive responsible for storing whole-slide imaging data in DICOM WSI format and offers a communication interface based on the most recent DICOM Web services. The second component is a zero-footprint viewer that runs in any web-browser. It consumes data using the PACS archive standard web services. Moreover, it features a tiling engine especially suited to deal with the WSI image pyramids. These components were designed with special focus on efficiency and usability. The performance of our system was assessed through a comparative analysis of the state-of-the-art solutions. The results demonstrate that it is possible to have a very competitive solution based on standard workflows.
Copyright © 2017 Elsevier Inc. All rights reserved.

Keywords:  DICOM; PACS; Pathology; Viewer; Web; Whole-slide imaging

Mesh:

Year:  2017        PMID: 28602907     DOI: 10.1016/j.jbi.2017.06.009

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  6 in total

1.  Bringing Open Data to Whole Slide Imaging.

Authors:  Sébastien Besson; Roger Leigh; Melissa Linkert; Chris Allan; Jean-Marie Burel; Mark Carroll; David Gault; Riad Gozim; Simon Li; Dominik Lindner; Josh Moore; Will Moore; Petr Walczysko; Frances Wong; Jason R Swedlow
Journal:  Digit Pathol (2019)       Date:  2019-07-03

2.  Implementing the DICOM Standard for Digital Pathology.

Authors:  Markus D Herrmann; David A Clunie; Andriy Fedorov; Sean W Doyle; Steven Pieper; Veronica Klepeis; Long P Le; George L Mutter; David S Milstone; Thomas J Schultz; Ron Kikinis; Gopal K Kotecha; David H Hwang; Katherine P Andriole; A John Iafrate; James A Brink; Giles W Boland; Keith J Dreyer; Mark Michalski; Jeffrey A Golden; David N Louis; Jochen K Lennerz
Journal:  J Pathol Inform       Date:  2018-11-02

3.  LibMI: An Open Source Library for Efficient Histopathological Image Processing.

Authors:  Yuxin Dong; Pargorn Puttapirat; Jingyi Deng; Xiangrong Zhang; Chen Li
Journal:  J Pathol Inform       Date:  2020-08-21

Review 4.  The Role of Pathology-Based Methods in Qualitative and Quantitative Approaches to Cancer Immunotherapy.

Authors:  Olga Kuczkiewicz-Siemion; Kamil Sokół; Beata Puton; Aneta Borkowska; Anna Szumera-Ciećkiewicz
Journal:  Cancers (Basel)       Date:  2022-08-08       Impact factor: 6.575

5.  The Use of Screencasts with Embedded Whole-Slide Scans and Hyperlinks to Teach Anatomic Pathology in a Supervised Digital Environment.

Authors:  Mary Wong; Joseph Frye; Stacey Kim; Alberto M Marchevsky
Journal:  J Pathol Inform       Date:  2018-11-14

6.  Dual-Personality DICOM-TIFF for Whole Slide Images: A Migration Technique for Legacy Software.

Authors:  David A Clunie
Journal:  J Pathol Inform       Date:  2019-04-03
  6 in total

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