@article {Alexander2018,
	title = {Streamlined open-source gel dosimetry analysis in 3D slicer},
	journal = {Biomedical Physics \& Engineering Express},
	volume = {4},
	number = {4},
	year = {2018},
	month = {07/2018},
	pages = {045041},
	abstract = {<p>Three dimensional dosimetry is being used in an increasingly wide variety of clinical applications as more gel and radiochromic plastic dosimeters become available. However, accessible 3D dosimetry analysis tools have not kept pace. 3D dosimetry data analysis is time consuming and laborious, creating a barrier to entry for busy clinical environments. To help in the adoption of 3D dosimetry, we have produced a streamlined, open-source dosimetry analysis system by developing a custom extension in 3D Slicer, called the Gel Dosimetry Analysis slicelet, which enables rapid and accurate data analysis. To assist those interested in adopting 3D dosimetry in their clinic or those unfamiliar with what is involved in a 3D dosimeter experiment, we first present the workflow of a typical gel dosimetry experiment. This is followed by the results of experiments used to validate, step-wise, each component of our software. Overall, our software has made a full 3D gel dosimeter analysis roughly 20 times faster than previous analysis systems.</p>
},
	keywords = {3d dosimetry, gel dosimetry, Radiation therapy},
	doi = {https://doi.org/10.1088/2057-1976/aad0cf},
	url = {http://stacks.iop.org/2057-1976/4/i=4/a=045041},
	author = {Kevin Alexander and Csaba Pinter and Gabor Fichtinger and Tim Olding and L. John Schreiner}
}
@article {Pinter2012b,
	title = {SlicerRT - Radiation therapy research toolkit for 3D Slicer},
	volume = {39},
	year = {2012},
	month = {10/2012},
	pages = {6332/7},
	abstract = {<p>Purpose: Interest in adaptive radiation therapy research is constantly growing, but software tools available for researchers are mostly either expensive, closed proprietary applications or free open-source packages with limited scope, extensibility, reliability, or user support. To address these limitations, we propose SlicerRT, a customizable, free, open-source radiation therapy research toolkit. SlicerRT aspires to be an open-source toolkit for RT research, providing fast computations, convenient workflows for researchers, and a general image-guided therapy infrastructure to assist clinical translation of experimental therapeutic approaches. It is a medium into which RT researchers can integrate their methods and algorithms, and conduct comparative testing. Methods: SlicerRT was implemented as an extension for the widely used 3D Slicer medical image visualization and analysis application platform. SlicerRT provides functionality specifically designed for radiation therapy research, in addition to the powerful tools that 3D Slicer offers for visualization, registration, segmentation, and data management. The feature set of SlicerRT was defined through consensus discussions with a large pool of RT researchers, including both radiation oncologists and medical physicists. The development processes used were similar to those of 3D Slicer to ensure software quality. Standardized mechanisms of 3D Slicer were applied for documentation, distribution, and user support. The testing and validation environment was configured to automatically launch a regression test upon each software change and to perform comparison with ground truth results provided by other RT applications. Results: Modules have been created for importing and loading DICOM-RT data, computing and displaying dose volume histograms, creating accumulated dose volumes, comparing dose volumes, visualizing isodose lines and surfaces. The effectiveness of using 3D Slicer with the proposed SlicerRT extension for radiation therapy research was demonstrated on multiple use cases.</p>
},
	keywords = {3D Slicer, DICOM-RT, dose comparison, dose volume histogram, Radiation therapy},
	doi = {http://dx.doi.org/10.1118/1.4754659},
	author = {Csaba Pinter and Andras Lasso and An Wang and David Jaffray and Gabor Fichtinger}
}
