Literature DB >> 23357405

RADStation3G: a platform for cardiovascular image analysis integrating PACS, 3D+t visualization and grid computing.

F Perez1, J Huguet, R Aguilar, L Lara, I Larrabide, M C Villa-Uriol, J López, J M Macho, A Rigo, J Rosselló, S Vera, E Vivas, J Fernàndez, A Arbona, A F Frangi, J Herrero Jover, M A González Ballester.   

Abstract

RADStation3G is a software platform for cardiovascular image analysis and surgery planning. It provides image visualization and management in 2D, 3D and 3D+t; data storage (images or operational results) in a PACS (using DICOM); and exploitation of patients' data such as images and pathologies. Further, it provides support for computationally expensive processes with grid technology. In this article we first introduce the platform and present a comparison with existing systems, according to the platform's modules (for cardiology, angiology, PACS archived enriched searching and grid computing), and then RADStation3G is described in detail.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2013        PMID: 23357405     DOI: 10.1016/j.cmpb.2012.12.002

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


  2 in total

1.  Extending PACS Functionality: Towards Facilitating the Conversion of Clinical Necessities into Research-Derived Applications.

Authors:  Fernando Yepes-Calderon; Frisca Wihardja; Edward Melamed; Min Song; Giustino Paladini; Natasha Lepore; Marvin Nelson; Stephan Erberich; Stefan Bluml; J Gordon McComb
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-01-26

2.  PACS administrators' and radiologists' perspective on the importance of features for PACS selection.

Authors:  Vivek Joshi; Vamsi R Narra; Kailash Joshi; Kyootai Lee; David Melson
Journal:  J Digit Imaging       Date:  2014-08       Impact factor: 4.056

  2 in total

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