Literature DB >> 11825248

Server-based approach to web visualization of integrated 3-D medical image data.

A V Poliakov1, E Albright, D Corina, G Ojemann, R F Martin, J F Brinkley.   

Abstract

Although computer processing power and network bandwidth are rapidly increasing, the average desktop is still not able to rapidly process large datasets such as 3-D medical image volumes. We have therefore developed a server side approach to this problem, in which a high performance graphics server accepts commands from web clients to load, process and render 3-D image volumes and models. The renderings are saved as 2-D snapshots on the server, where they are uploaded and displayed on the client. User interactions with the graphic interface on the client side are translated into additional commands to manipulate the 3-D scene, after which the server re-renders the scene and sends a new image to the client. Example forms-based and Java-based clients are described for a brain mapping application, but the techniques should be applicable to multiple domains where 3-D medical image visualization is of interest.

Mesh:

Year:  2001        PMID: 11825248      PMCID: PMC2243432     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  3 in total

1.  Meeting clinician information needs by integrating access to the medical record and knowledge resources via the Web.

Authors:  P Tarczy-Hornoch; T S Kwan-Gett; L Fouche; J Hoath; S Fuller; K N Ibrahim; D S Ketchell; J P LoGerfo; H I Goldberg
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

2.  Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space.

Authors:  D L Collins; P Neelin; T M Peters; A C Evans
Journal:  J Comput Assist Tomogr       Date:  1994 Mar-Apr       Impact factor: 1.826

3.  Incorporating constraint-based shape models into an interactive system for functional brain mapping.

Authors:  K P Hinshaw; J F Brinkley
Journal:  Proc AMIA Symp       Date:  1998
  3 in total
  2 in total

1.  Server-based approach to web visualization of integrated three-dimensional brain imaging data.

Authors:  Andrew V Poliakov; Evan Albright; Kevin P Hinshaw; David P Corina; George Ojemann; Richard F Martin; James F Brinkley
Journal:  J Am Med Inform Assoc       Date:  2004-11-23       Impact factor: 4.497

2.  Five levels of PACS modularity: integrating 3D and other advanced visualization tools.

Authors:  Kenneth C Wang; Ross W Filice; James F Philbin; Eliot L Siegel; Paul G Nagy
Journal:  J Digit Imaging       Date:  2011-12       Impact factor: 4.056

  2 in total

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