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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
| ASCII Text | x | ||
| Mirek Fatyga, William C. Sleeman, Baoshe Zhang, "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/August, 2012. | |||
| BibTex | x | ||
| @article{ 10.1109/MCSE.2011.75, author = {Mirek Fatyga and William C. Sleeman and Baoshe Zhang}, title = {Designing and Implementing a Computing Framework for Image-Guided Radiation Therapy Research}, journal ={Computing in Science and Engineering}, volume = {14}, number = {4}, issn = {1521-9615}, year = {2012}, pages = {57-68}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2011.75}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computing in Science and Engineering TI - Designing and Implementing a Computing Framework for Image-Guided Radiation Therapy Research IS - 4 SN - 1521-9615 SP57 EP68 EPD - 57-68 A1 - Mirek Fatyga, A1 - William C. Sleeman, A1 - Baoshe Zhang, PY - 2012 KW - Biomedical applications of radiation KW - Computational modeling KW - Biomedical image processing KW - Software engineering KW - Programming KW - Three dimensional displays KW - Scientific computing KW - Object oriented programming KW - reusable libraries KW - Biomedical applications of radiation KW - Computational modeling KW - Biomedical image processing KW - Software engineering KW - Programming KW - Three dimensional displays KW - Scientific computing KW - Object oriented programming KW - scientific computing KW - object-oriented programming KW - design concepts KW - data abstraction KW - data mapping KW - software architecture VL - 14 JA - Computing in Science and Engineering ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2011.75
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.
1. J. Deasy, A. Blanco, and V. Blanc, “CERR: A Computational Environment for Radiotherapy Research,” Medical Physics, vol. 30, no. 5, 2003, pp. 979-985.
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:
Mirek Fatyga, William C. Sleeman, Baoshe Zhang, "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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