Literature DB >> 12573883

Concept of a PACS and imaging informatics-based server for radiation therapy.

Maria Y Y Law1, H K Huang.   

Abstract

Radiation Therapy (RT) is an image-based treatment. It requires images from projection X-rays, computed tomography, magnetic resonance, positron emission tomography, Linear Accelerator for tumor localization, treatment planning and verification of treatment plans. During the treatment process, patient's images are transmitted to every necessary station in the RT department. However, images of the same patient are generally scattered and there is no permanent home base for them due to the nature and traditional organization of the RT department. The advance in diagnostic picture archiving and communication system and the establishment of RT DICOM Standard provide an opportunity to define and design an RT server as a means to organize RT images and related data. This paper describes the RT workflow and the concept of the DICOM RT server. An example of RT treatment of nasopharyngeal carcinoma based on the RT server concept is given.

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Year:  2003        PMID: 12573883     DOI: 10.1016/s0895-6111(02)00046-0

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  3 in total

Review 1.  Medical imaging informatics simulators: a tutorial.

Authors:  H K Huang; Ruchi Deshpande; Jorge Documet; Anh H Le; Jasper Lee; Kevin Ma; Brent J Liu
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-09-14       Impact factor: 2.924

2.  A Framework for Sharing Radiation Dose Distribution Maps in the Electronic Medical Record for Improving Multidisciplinary Patient Management.

Authors:  Ricky R Savjani; Noriko Salamon; Jie Deng; Martin Ma; Steve Tenn; Nzhde Agazaryan; John Hegde; Tania Kaprealian
Journal:  Radiol Imaging Cancer       Date:  2021-03-12

3.  Knowledge-driven decision support for assessing dose distributions in radiation therapy of head and neck cancer.

Authors:  Ruchi R Deshpande; John DeMarco; James W Sayre; Brent J Liu
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-04-12       Impact factor: 2.924

  3 in total

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