Literature DB >> 26628613

MEDXVIEWER: PROVIDING A WEB-ENABLED WORKSTATION ENVIRONMENT FOR COLLABORATIVE AND REMOTE MEDICAL IMAGING VIEWING, PERCEPTION STUDIES AND READER TRAINING.

P T Looney1, K C Young2, M D Halling-Brown3.   

Abstract

MedXViewer (Medical eXtensible Viewer) has been developed to address the need for workstation-independent, picture archiving and communication system (PACS)-less viewing and interaction with anonymised medical images. The aim of this paper is to describe the design and features of MedXViewer as well as to introduce the new features available in the latest release (version 1.2). MedXViewer currently supports digital mammography and tomosynthesis. The flexible software design used to develop MedXViewer allows it to be easily extended to support other imaging modalities. Regions of interest can be drawn by a user, and any associated information about a mark, an image or a study can be added. The questions and settings can be easily configured depending on the need of the research allowing both ROC and FROC studies to be performed. Complex tree-like questions can be asked where a given answer presents the user to new questions. The hanging protocol can be specified for each study. Panning, windowing, zooming and moving through slices are all available while modality-specific features can be easily enabled, e.g. quadrant zooming in digital mammography and tomosynthesis studies. MedXViewer can integrate with a web-based image database OPTIMAM Medical Image Database allowing results and images to be stored centrally. The software can, alternatively, run without a network connection where the images and results can be encrypted and stored locally on a machine or external drive. MedXViewer has been used for running remote paper-less observer studies and is capable of providing a training infrastructure and coordinating remote collaborative viewing sessions.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Mesh:

Year:  2015        PMID: 26628613     DOI: 10.1093/rpd/ncv482

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  7 in total

1.  OPTIMAM Mammography Image Database: A Large-Scale Resource of Mammography Images and Clinical Data.

Authors:  Mark D Halling-Brown; Lucy M Warren; Dominic Ward; Emma Lewis; Alistair Mackenzie; Matthew G Wallis; Louise S Wilkinson; Rosalind M Given-Wilson; Rita McAvinchey; Kenneth C Young
Journal:  Radiol Artif Intell       Date:  2020-11-25

2.  Development of a Reference Image Collection Library for Histopathology Image Processing, Analysis and Decision Support Systems Research.

Authors:  Spiros Kostopoulos; Panagiota Ravazoula; Pantelis Asvestas; Ioannis Kalatzis; George Xenogiannopoulos; Dionisis Cavouras; Dimitris Glotsos
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

3.  Nursing Analysis Based on Medical Imaging Technology before and after Coronary Angiography in Cardiovascular Medicine.

Authors:  Qin Li; Yangyang Yuan; Guangyu Song; Yonghua Liu
Journal:  Appl Bionics Biomech       Date:  2022-04-15       Impact factor: 1.664

4.  Evaluating the effectiveness of abbreviated breast MRI (abMRI) interpretation training for mammogram readers: a multi-centre study assessing diagnostic performance, using an enriched dataset.

Authors:  Lyn I Jones; Andrea Marshall; Premkumar Elangovan; Rebecca Geach; Sadie McKeown-Keegan; Sarah Vinnicombe; Sam A Harding; Sian Taylor-Phillips; Mark Halling-Brown; Christopher Foy; Elizabeth O'Flynn; Hesam Ghiasvand; Claire Hulme; Janet A Dunn
Journal:  Breast Cancer Res       Date:  2022-07-30       Impact factor: 8.408

5.  Virtual clinical trial to compare cancer detection using combinations of 2D mammography, digital breast tomosynthesis and synthetic 2D imaging.

Authors:  Alistair Mackenzie; Emma L Thomson; Melissa Mitchell; Premkumar Elangovan; Chantal van Ongeval; Lesley Cockmartin; Lucy M Warren; Louise S Wilkinson; Matthew G Wallis; Rosalind M Given-Wilson; David R Dance; Kenneth C Young
Journal:  Eur Radiol       Date:  2021-07-30       Impact factor: 5.315

Review 6.  An Evaluation of HTML5 and WebGL for Medical Imaging Applications.

Authors:  Qiusha Min; Zhifeng Wang; Neng Liu
Journal:  J Healthc Eng       Date:  2018-08-29       Impact factor: 2.682

7.  Web-Based Technology for Remote Viewing of Radiological Images: App Validation.

Authors:  Qiusha Min; Xin Wang; Bo Huang; Liangzhou Xu
Journal:  J Med Internet Res       Date:  2020-09-25       Impact factor: 5.428

  7 in total

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