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Designing and Implementing a Computing Framework for Image-Guided Radiation Therapy Research
July/August 2012 (vol. 14 no. 4)
pp. 57-68
William C. Sleeman, Virginia Commonwealth University
Baoshe Zhang, Virginia Commonwealth University
Mirek Fatyga, Virginia Commonwealth University
Research computing in radiation therapy is transitioning from small-scale computing to large software systems. Accelerator-mounted imaging devices collect multiple images at every treatment fraction, creating datasets of hundreds of images per patient. Compounding this challenge is the fact that software infrastructure upgrades are difficult to manage in academic environments, due to inadequate experience in large-scale software development.

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2. Digital Imaging and Communications in Medicine (DICOM) Standard, v. 2012-3, Nat'l Electrical Manufacturers Assoc. (NEMA), 11 Apr. 2012; http:/medical.nema.org.
3. B. Zhang et al., “An Integrated Software Environment for Image Guided Adaptive Radiation Therapy Research,” Medical Physics, vol. 37, no. 6, 2010, p. 3245.

Index Terms:
Biomedical applications of radiation,Computational modeling,Biomedical image processing,Software engineering,Programming,Three dimensional displays,Scientific computing,Object oriented programming,reusable libraries,Biomedical applications of radiation,Computational modeling,Biomedical image processing,Software engineering,Programming,Three dimensional displays,Scientific computing,Object oriented programming,scientific computing,object-oriented programming,design concepts,data abstraction,data mapping,software architecture
Citation:
William C. Sleeman, Baoshe Zhang, Mirek Fatyga, "Designing and Implementing a Computing Framework for Image-Guided Radiation Therapy Research," Computing in Science and Engineering, vol. 14, no. 4, pp. 57-68, July-Aug. 2012, doi:10.1109/MCSE.2011.75
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