@conference {Pinter2015, title = {Performing radiation therapy research using the open-source SlicerRT toolkit}, booktitle = {World Congress on Medical Physics and Biomedical Engineering}, year = {2015}, month = {07/2015}, publisher = {Springer}, organization = {Springer}, address = {Toronto}, abstract = {

Radiation therapy (RT) is a common treatment option for a wide variety of cancer types. Despite significant improvements in this technique over the past years, software tools for research in RT are limited to either expensive, closed, proprietary applications or heterogeneous sets of open-source software packages with limited scope, reliability, and user support. Our SlicerRT toolkit aspires to overcome these limitations by providing an extensive set of RT research tools leveraging the advanced visualization and image analysis features of its base platform 3D Slicer.

The SlicerRT toolkit comprises of a set of 3D Slicer extensions: SlicerRT core, Matlab Bridge, Multi-dimensional Data, and Gel Dosimetry. The SlicerRT core extension contains 26 modules, many of which provide common RT tools used in most RT research scenarios. Matlab Bridge provides a convenient way for connecting the researchers{\textquoteright} existing MATLAB algorithms to the SlicerRT ecosystem. Multi-dimensional Data offers a feature set for handling multi-dimensional datasets, such as longitudinal studies or 4D data. Finally, Gel Dosimetry facilitates gel dosimetry analysis workflows through a streamlined, workflow-based end-user application. It serves as an example and proof of concept for such applications implementing advanced clinical or research workflows.

Using these open-source software tools makes it possible to conduct cutting edge RT research without parallel development efforts. It acts as a medium into which researchers can integrate their methods into, and which they can use to perform comparative validation, develop novel RT techniques, or transition advanced methods into routine clinical practice.

}, doi = {10.1007/978-3-319-19387-8_152}, author = {Csaba Pinter and Andras Lasso and An Wang and Gregory C Sharp and Kevin Alexander and David Jaffray and Gabor Fichtinger} } @article {Pinter2014, title = {Improvements in SlicerRT, the radiation therapy research toolkit for 3D Slicer}, year = {2014}, month = {03/2014}, pages = {79}, address = {Toronto, ON, Canada, March 24-25, 2014}, url = {http://www.imno.ca/sites/default/files/2014Proceedings.pdf}, author = {Csaba Pinter and Andras Lasso and An Wang and Gregory C Sharp and David Jaffray and Gabor Fichtinger} } @article {Pinter2013a, title = {SlicerRT {\textendash} Radiation therapy research toolkit for 3D Slicer}, year = {2013}, month = {02/2013}, address = {Toronto, ON, Canada}, author = {Csaba Pinter and Andras Lasso and An Wang and David Jaffray and Gabor Fichtinger} } @article {Pinter2013b, title = {SlicerRT sets new standard for radiation therapy research tools}, journal = {ECR Today 2013}, year = {2013}, month = {03/2013}, pages = {19}, edition = {Technology Focus}, author = {Csaba Pinter and Andras Lasso and An Wang and David Jaffray and Gabor Fichtinger} } @conference {Pinter2012c, title = {Application of the SlicerRT toolkit for image-guided radiation therapy research}, booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI 2012) - Image-Guidance and Multimodal Dose Planning in Radiation Therapy}, year = {2012}, month = {10/2012}, address = {Nice, France}, author = {Csaba Pinter and Andras Lasso and An Wang and David Jaffray and Gabor Fichtinger} } @article {Pinter2012b, title = {SlicerRT - Radiation therapy research toolkit for 3D Slicer}, volume = {39}, year = {2012}, month = {10/2012}, pages = {6332/7}, abstract = {

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.

}, 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} } @article {Pinter2012a, title = {SlicerRT {\textendash} Radiotherapy toolkit for 3D Slicer}, year = {2012}, month = {02/2012}, address = {Toronto, ON, Canada}, keywords = {Radiotherapy}, author = {Csaba Pinter and Andras Lasso and An Wang and Gabor Fichtinger} }