Literature DB >> 12235333

Collaboration system for radiology workstations.

John Eng1, Jeffrey P Leal, Wei Shu, Guo Liang Yang.   

Abstract

Consultation between radiologists and referring physicians is part of routine medical practice. Nevertheless, a typical picture archiving and communication system contains no provision that will allow this critical interaction to occur on-line. The authors describe an image viewing system designed for real-time interactive consultation over the Internet. The system has two main components: an image viewer and a collaboration server. The image viewer connects to the collaboration server over an Internet-compatible network. Once the image viewer is connected, its display can be synchronized with that of another connected image viewer, so that radiologists can point out image findings and diagnoses in real time to remotely located physicians. The image viewer can retrieve images from any DICOM-compatible archive. In addition to standard image manipulation functions, the image viewer contains a new user interface for image annotation. Developed specifically for medical imaging, this user interface is activated by mouse actions instead of conventional on-screen controls, greatly improving the ease with which annotations can be created. The collaboration system is based on a simple yet flexible programming interface that can be readily generalized to other types of collaborative applications. The system was developed with the Java programming language because of Java's integrated support of Internet-compatible networking capabilities.

Entities:  

Mesh:

Year:  2002        PMID: 12235333     DOI: 10.1148/rg.e5

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  2 in total

Review 1.  Dealing with COVID-19: initial perspectives of a small radiology department.

Authors:  Shawn Shi Xian Kok; Mohammad Taufik Bin Mohamed Shah; Wei Kiong Cheong; Arthur Kim Chai Cheng; Li Hoon Sng; Parag Ratnakar Salkade; Steven Bak Siew Wong
Journal:  Singapore Med J       Date:  2020-03-31       Impact factor: 1.858

Review 2.  The Current State and Path Forward For Enterprise Image Viewing: HIMSS-SIIM Collaborative White Paper.

Authors:  Christopher J Roth; Louis M Lannum; Donald K Dennison; Alexander J Towbin
Journal:  J Digit Imaging       Date:  2016-10       Impact factor: 4.056

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.