Journal ArticleDOI
CERR: A computational environment for radiotherapy research
TLDR
CERR provides a powerful, convenient, and common framework which allows researchers to use common patient data sets, and compare and share research results.Abstract:
A software environment is described, called the computational environment for radiotherapy research (CERR, pronounced "sir"). CERR partially addresses four broad needs in treatment planning research: (a) it provides a convenient and powerful software environment to develop and prototype treatment planning concepts, (b) it serves as a software integration environment to combine treatment planning software written in multiple languages (MATLAB, FORTRAN, C/C++, JAVA, etc.), together with treatment plan information (computed tomography scans, outlined structures, dose distributions, digital films, etc.), (c) it provides the ability to extract treatment plans from disparate planning systems using the widely available AAPM/RTOG archiving mechanism, and (d) it provides a convenient and powerful tool for sharing and reproducing treatment planning research results. The functional components currently being distributed, including source code, include: (1) an import program which converts the widely available AAPM/RTOG treatment planning format into a MATLAB cell-array data object, facilitating manipulation; (2) viewers which display axial, coronal, and sagittal computed tomography images, structure contours, digital films, and isodose lines or dose colorwash, (3) a suite of contouring tools to edit and/or create anatomical structures, (4) dose-volume and dose-surface histogram calculation and display tools, and (5) various predefined commands. CERR allows the user to retrieve any AAPM/RTOG key word information about the treatment plan archive. The code is relatively self-describing, because it relies on MATLAB structure field name definitions based on the AAPM/RTOG standard. New structure field names can be added dynamically or permanently. New components of arbitrary data type can be stored and accessed without disturbing system operation. CERR has been applied to aid research in dose-volume-outcome modeling, Monte Carlo dose calculation, and treatment planning optimization. In summary, CERR provides a powerful, convenient, and common framework which allows researchers to use common patient data sets, and compare and share research results.read more
Citations
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Journal ArticleDOI
OpenKBP: The open-access knowledge-based planning grand challenge and dataset.
Aaron Babier,Binghao Zhang,Rafid Mahmood,Kevin L. Moore,Thomas G. Purdie,Thomas G. Purdie,Andrea McNiven,Andrea McNiven,Timothy C. Y. Chan +8 more
TL;DR: The most recent edition of the OpenKBP Grand Challenge as mentioned in this paper focused on predicting the dose of CT images of head-and-neck cancer patients with radiation therapy using knowledge-based planning.
Journal ArticleDOI
Does VMAT for treatment of NSCLC patients increase the risk of pneumonitis compared to IMRT ? - A planning study
TL;DR: Using IMRT as reference for the VMAT optimization it was possible to implement VMAT in the clinic with no increase in estimated risk of RP and toxicity is not expected to be a hindrance to using VMAT and will profit from the shorter delivery time with VMAT compared to IMRT.
Journal ArticleDOI
A collaboratory for radiation therapy treatment planning optimization research
Joseph O. Deasy,Eva K. Lee,Thomas Bortfeld,Mark Langer,K Zakarian,J Alaly,Yin Zhang,H. Liu,Radhe Mohan,R. Ahuja,Armin Pollack,James A. Purdy,Ronald L. Rardin +12 more
TL;DR: Software tools are presented to facilitate IMRTP research by computational scientists who may not have convenient access to radiotherapy treatment planning systems, and allow convenient access, visualization, programmable manipulation, and sharing of patient treatment planning data.
Journal ArticleDOI
The importance of evaluating the complete automated knowledge-based planning pipeline
TL;DR: It is found that state-of-the-art prediction methods when paired with different optimization algorithms, produce treatment plans with considerable variation in quality.
Journal ArticleDOI
Monte Carlo study on the sensitivity of prompt gamma imaging to proton range variations due to interfractional changes in prostate cancer patients.
S Schmid,Guillaume Landry,Christian Thieke,Frank Verhaegen,Ute Ganswindt,Claus Belka,Katia Parodi,Georgios Dedes +7 more
TL;DR: This work supports that prompt gamma imaging can offer a reliable indicator of range changes due to anatomical variations and tissue heterogeneity in scanning proton treatment of prostate cancer patients when considering prompt gamma emission profiles.
References
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Journal ArticleDOI
Extending Python with Fortran
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Journal Article
Extending python with Fortran
Paul F. Dubois,T.-Y. Yang +1 more
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