Jennifer Andrea
Graduate student (Masters)
School of Computing
Queen's University
Jennifer Andrea received her Bachelor of Computing (Hons) with a specialization in Biomedical Computing from Queen's University in June, 2014 and Master's in the School of Computing in 2016.
Andrea, Jennifer; Pinter, Csaba; Fichtinger, Gabor
Measuring radiation treatment plan similarity in the cloud Conference
World Congress on Medical Physics and Biomedical Engineering, vol. 51, Springer Springer, Toronto, Canada, 2015, ISSN: 1680-0737.
@conference{Andrea2015b,
title = {Measuring radiation treatment plan similarity in the cloud},
author = {Jennifer Andrea and Csaba Pinter and Gabor Fichtinger},
url = {http://link.springer.com/book/10.1007/978-3-319-19387-8
https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Andrea2015b_0.pdf},
doi = {10.1007/978-3-319-19387-8_105},
issn = {1680-0737},
year = {2015},
date = {2015-07-01},
urldate = {2015-07-01},
booktitle = {World Congress on Medical Physics and Biomedical Engineering},
volume = {51},
pages = {432-435},
publisher = {Springer},
address = {Toronto, Canada},
organization = {Springer},
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pubstate = {published},
tppubtype = {conference}
}
Alexander, Kevin; Pinter, Csaba; Andrea, Jennifer; Fichtinger, Gabor; Schreiner, John
3D Slicer Gel Dosimetry Analysis: Validation of the Calibration Process Conference
World Congress on Medical Physics and Biomedical Engineering, June 7-12, 2015, Toronto, Canada, vol. 51, Springer International Publishing Springer International Publishing, 2015.
@conference{Alexander2015,
title = {3D Slicer Gel Dosimetry Analysis: Validation of the Calibration Process},
author = {Kevin Alexander and Csaba Pinter and Jennifer Andrea and Gabor Fichtinger and John Schreiner},
url = {http://link.springer.com/chapter/10.1007%2F978-3-319-19387-8_128
https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Alexander2015.pdf},
doi = {10.1007/978-3-319-19387-8_128},
year = {2015},
date = {2015-06-01},
urldate = {2015-06-01},
booktitle = {World Congress on Medical Physics and Biomedical Engineering, June 7-12, 2015, Toronto, Canada},
volume = {51},
pages = {521-524},
publisher = {Springer International Publishing},
organization = {Springer International Publishing},
abstract = {<p>An extension tailored to dose data processing and analysis has been developed in the open source imaging application 3D Slicer to aid in routine clinical use of gel dosim-etry. This extension allows for registration, calibration, and comparison of 3D gel dosimeter data (imaged using an optical CT scanner) to treatment planning data. In this work, we present the accuracy and reproducibility of the gel dosimeter calibration component of the 3D Slicer extension. We examine the consistency of the calibration curves for a range of electron beam irradiations, and the inter-user variability of the gel dosimeter calibration process.</p>},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
<p>An extension tailored to dose data processing and analysis has been developed in the open source imaging application 3D Slicer to aid in routine clinical use of gel dosim-etry. This extension allows for registration, calibration, and comparison of 3D gel dosimeter data (imaged using an optical CT scanner) to treatment planning data. In this work, we present the accuracy and reproducibility of the gel dosimeter calibration component of the 3D Slicer extension. We examine the consistency of the calibration curves for a range of electron beam irradiations, and the inter-user variability of the gel dosimeter calibration process.</p>
Andrea, Jennifer; Pinter, Csaba; Fichtinger, Gabor
Cloud computing of anatomical similarity Conference
13th Imaging Network Ontario Symposium (ImNO 2015), London, Canada, 2015.
@conference{Andrea2015a,
title = {Cloud computing of anatomical similarity},
author = {Jennifer Andrea and Csaba Pinter and Gabor Fichtinger},
url = {http://www.imno.ca/sites/default/files/IMNO-Conference-Program-Final.pdf
https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Andrea2015a-poster.pptx
https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Andrea2015a-poster.pptx},
year = {2015},
date = {2015-03-01},
urldate = {2015-03-01},
booktitle = {13th Imaging Network Ontario Symposium (ImNO 2015)},
pages = {35},
address = {London, Canada},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Alexander, Kevin M; Pinter, Csaba; Andrea, Jennifer; Fichtinger, Gabor; Schreiner, L John
3D slicer gel dosimetry analysis: validation of the calibration process Journal Article
In: pp. 521-524, 2015.
@article{fichtinger2015e,
title = {3D slicer gel dosimetry analysis: validation of the calibration process},
author = {Kevin M Alexander and Csaba Pinter and Jennifer Andrea and Gabor Fichtinger and L John Schreiner},
url = {https://link.springer.com/chapter/10.1007/978-3-319-19387-8_128},
year = {2015},
date = {2015-01-01},
pages = {521-524},
publisher = {Springer International Publishing},
abstract = {An extension tailored to dose data processing and analysis has been developed in the open source imaging application 3D Slicer to aid in routine clinical use of gel dosimetry. This extension allows for registration, calibration, and comparison of 3D gel dosimeter data (imaged using an optical CT scanner) to treatment planning data. In this work, we present the accuracy and reproducibility of the gel dosimeter calibration component of the 3D Slicer extension. We examine the consistency of the calibration curves for a range of electron beam irradiations, and the inter-user variability of the gel dosimeter calibration process.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
An extension tailored to dose data processing and analysis has been developed in the open source imaging application 3D Slicer to aid in routine clinical use of gel dosimetry. This extension allows for registration, calibration, and comparison of 3D gel dosimeter data (imaged using an optical CT scanner) to treatment planning data. In this work, we present the accuracy and reproducibility of the gel dosimeter calibration component of the 3D Slicer extension. We examine the consistency of the calibration curves for a range of electron beam irradiations, and the inter-user variability of the gel dosimeter calibration process.
Andrea, Jennifer; Welch, Mattea; Pinter, Csaba; Alexander, Kevin; Schreiner, John; Fichtinger, Gabor
Slicelet implementation for gel dosimetry analysis Conference
12th Imaging Network Ontario Symposium (ImNO 2014), Toronto, Canada, 2014.
@conference{Andrea2014a,
title = {Slicelet implementation for gel dosimetry analysis},
author = {Jennifer Andrea and Mattea Welch and Csaba Pinter and Kevin Alexander and John Schreiner and Gabor Fichtinger},
url = {http://www.imno.ca/sites/default/files/2014Proceedings.pdf
https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Andrea2014a.pdf},
year = {2014},
date = {2014-03-01},
urldate = {2014-03-01},
booktitle = {12th Imaging Network Ontario Symposium (ImNO 2014)},
pages = {63},
address = {Toronto, Canada},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Alexander, Kevin; Pinter, Csaba; Andrea, Jennifer; Fichtinger, Gabor; Schreiner, John
Implementation of an efficient workflow process for gel dosimetry using 3D Slicer Conference
IC3DDose, 2014.
@conference{Alexander2014,
title = {Implementation of an efficient workflow process for gel dosimetry using 3D Slicer},
author = {Kevin Alexander and Csaba Pinter and Jennifer Andrea and Gabor Fichtinger and John Schreiner},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Alexander2014.pdf},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
booktitle = {IC3DDose},
abstract = {<p>One challenge in gel dosimetry is the manipulation and analysis of complex data sets from different systems. In this paper, we describe a simple and fast gel dosimetry analysis tool for radiation therapy dose deliveries. Using the open source medical imaging software 3D Slicer, an extension was designed and implemented for the purpose of importing treatment planning system dose, CT imaging from simulation and at treatment, and optical CT gel dosimeter data. The extension also allows for calibration of gel dosimeter data, registration, and comparison of 3D dose distributions. The development of an open source gel dosimetry processing environment may help adoption of gels in the clinic.</p>},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
<p>One challenge in gel dosimetry is the manipulation and analysis of complex data sets from different systems. In this paper, we describe a simple and fast gel dosimetry analysis tool for radiation therapy dose deliveries. Using the open source medical imaging software 3D Slicer, an extension was designed and implemented for the purpose of importing treatment planning system dose, CT imaging from simulation and at treatment, and optical CT gel dosimeter data. The extension also allows for calibration of gel dosimeter data, registration, and comparison of 3D dose distributions. The development of an open source gel dosimetry processing environment may help adoption of gels in the clinic.</p>
Welch, Mattea; Andrea, Jennifer; Ungi, Tamas; Fichtinger, Gabor
Freehand ultrasound calibration: phantom versus tracked pointer Conference
SPIE, Lake Buena Vista, Florida, United States, 2013.
@conference{Welch2013b,
title = {Freehand ultrasound calibration: phantom versus tracked pointer},
author = {Mattea Welch and Jennifer Andrea and Tamas Ungi and Gabor Fichtinger},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Welch2013b.pdf},
year = {2013},
date = {2013-02-01},
urldate = {2013-02-01},
booktitle = {SPIE},
address = {Lake Buena Vista, Florida, United States},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}