{"id":2400,"date":"2024-03-30T22:37:05","date_gmt":"2024-03-30T22:37:05","guid":{"rendered":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/nicole-kitner\/"},"modified":"2024-03-30T22:37:05","modified_gmt":"2024-03-30T22:37:05","slug":"nicole-kitner","status":"publish","type":"qsc_member","link":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/nicole-kitner\/","title":{"rendered":"Nicole Kitner"},"content":{"rendered":"
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Nicole Kitner<\/h1>\n<\/div>\n
Masters Student<\/div>\n
School of Computing<\/div>\n
Queen’s University<\/div>\n
Member from 2021<\/em> to present<\/em><\/div>\n
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Kitner, Nicole; Rodgers, Jessica R; Ungi, Tamas; Korzeniowski, Martin; Olding, Timothy; Mousavi, Parvin; Fichtinger, Gabor<\/p>

Multi-catheter modelling in reconstructed 3D transrectal ultrasound images from prostate brachytherapy<\/a> Journal Article<\/span> <\/p>

In: <\/span>vol. 12466, <\/span>pp. 126-135, <\/span>2023<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@article{fichtinger2023b,
\r\ntitle = {Multi-catheter modelling in reconstructed 3D transrectal ultrasound images from prostate brachytherapy},
\r\nauthor = {Nicole Kitner and Jessica R Rodgers and Tamas Ungi and Martin Korzeniowski and Timothy Olding and Parvin Mousavi and Gabor Fichtinger},
\r\nurl = {https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/12466\/124660I\/Multi-catheter-modelling-in-reconstructed-3D-transrectal-ultrasound-images-from\/10.1117\/12.2654019.short},
\r\nyear  = {2023},
\r\ndate = {2023-01-01},
\r\nvolume = {12466},
\r\npages = {126-135},
\r\npublisher = {SPIE},
\r\nabstract = {High-dose-rate brachytherapy is an accepted standard-of-care treatment for prostate cancer. In this procedure, catheters are inserted using three-dimensional (3D) transrectal ultrasound image-guidance. Their positions are manually segmented for treatment planning and delivery. The transverse ultrasound sweep, which is subject to tip and depth error for catheter localization, is a commonly used ultrasound imaging option available for image acquisition. We propose a two-step pipeline that uses a deep-learning network and curve fitting to automatically localize and model catheters in transversely reconstructed 3D ultrasound images. In the first step, a 3D U-Net was trained to automatically segment all catheters in a 3D ultrasound image. Following this step, curve fitting was implemented to detect the shapes of individual catheters using polynomial fitting. Of the 343 catheters (from 20 patients) in the testing data, the \u2026},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
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High-dose-rate brachytherapy is an accepted standard-of-care treatment for prostate cancer. In this procedure, catheters are inserted using three-dimensional (3D) transrectal ultrasound image-guidance. Their positions are manually segmented for treatment planning and delivery. The transverse ultrasound sweep, which is subject to tip and depth error for catheter localization, is a commonly used ultrasound imaging option available for image acquisition. We propose a two-step pipeline that uses a deep-learning network and curve fitting to automatically localize and model catheters in transversely reconstructed 3D ultrasound images. In the first step, a 3D U-Net was trained to automatically segment all catheters in a 3D ultrasound image. Following this step, curve fitting was implemented to detect the shapes of individual catheters using polynomial fitting. Of the 343 catheters (from 20 patients) in the testing data, the \u2026<\/div>
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