Literature DB >> 17534682

Using applet-servlet communication for optimizing window, level and crop for DICOM to JPEG conversion.

Aaron W C Kamauu1, Scott L DuVall, Richard H Wiggins, David E Avrin.   

Abstract

In the creation of interesting radiological cases in a digital teaching file, it is necessary to adjust the window and level settings of an image to effectively display the educational focus. The web-based applet described in this paper presents an effective solution for real-time window and level adjustments without leaving the picture archiving and communications system workstation. Optimized images are created, as user-defined parameters are passed between the applet and a servlet on the Health Insurance Portability and Accountability Act-compliant teaching file server.

Mesh:

Year:  2008        PMID: 17534682      PMCID: PMC3043843          DOI: 10.1007/s10278-007-9038-3

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  3 in total

Review 1.  Image file formats: past, present, and future.

Authors:  R H Wiggins; H C Davidson; H R Harnsberger; J R Lauman; P A Goede
Journal:  Radiographics       Date:  2001 May-Jun       Impact factor: 5.333

Review 2.  Radiological digital teaching file development: an overview.

Authors:  A F Scarsbrook; P T Foley; R W Perriss; R N J Graham
Journal:  Clin Radiol       Date:  2005-08       Impact factor: 2.350

3.  Informatics in radiology (infoRAD): Vendor-neutral case input into a server-based digital teaching file system.

Authors:  Aaron W C Kamauu; Scott L DuVall; Reid J Robison; Andrew P Liimatta; Richard H Wiggins; David E Avrin
Journal:  Radiographics       Date:  2006 Nov-Dec       Impact factor: 5.333

  3 in total
  3 in total

1.  Radiology Teaching Files: an Assessment of Their Role and Desired Features Based on a National Survey.

Authors:  Brittany Dashevsky; Mia Gorovoy; William J Weadock; Krishna Juluru
Journal:  J Digit Imaging       Date:  2015-08       Impact factor: 4.056

Review 2.  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

3.  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

  3 in total

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