Nicole Kitner

@article{fichtinger2023b,

title = {Multi-catheter modelling in reconstructed 3D transrectal ultrasound images from prostate brachytherapy},

author = {Nicole Kitner and Jessica R Rodgers and Tamas Ungi and Martin Korzeniowski and Timothy Olding and Parvin Mousavi and Gabor Fichtinger},

url = {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},

year  = {2023},

date = {2023-01-01},

volume = {12466},

pages = {126-135},

publisher = {SPIE},

abstract = {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 …},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fichtinger2022o,

title = {49: Automated Catheter Tracking in 3D Ultrasound Images from High-Dose-Rate Prostate Brachytherapy Using Deep Learning and Feature Extraction},

author = {Nicole Kitner and Jessica R Rodgers and Tamas Ungi and Timothy Olding and Chandra Joshi and Parvin Mousavi and Gabor Fichtinger and Martin Korzeniowski},

url = {https://scholar.google.com/scholar?cluster=2766988044564319338&hl=en&oi=scholarr},

year  = {2022},

date = {2022-01-01},

journal = {Radiotherapy and Oncology},

volume = {174},

pages = {S23-S24},

publisher = {Elsevier},

abstract = {Purpose: Stereotactic body radiotherapy (SBRT) improves complete pain response for painful spinal metastases compared to conventional external beam radiotherapy (cEBRT). We report mature local control and reirradiation rates in a large cohort of patients treated with SBRT versus cEBRT enrolled previously in the Canadian Clinical Trials Group Symptom Control (SC). 24 Phase II/III trial. 

Materials and Methods: 137/229 (60%) patients randomized to 24 Gy in 2 SBRT fractions or 20 Gy in 5 cEBRT fractions were retrospectively reviewed. By including all treated spinal segments, we report on 66 patients (119 spine segments) treated with SBRT, and 71 patients (169 segments) treated with cEBRT. The primary outcomes were MR-based local control and reirradiation rates for each treated spine segment. 

Results: The median follow-up was 11.3 months (IQR: 5.3-27.7 months), and median OS in the SBRT and cEBRT …},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fichtinger2022p,

title = {Automatic catheter modelling in 3D transrectal ultrasound images from high-dose-rate prostate brachytherapy using a deep learning and feature extraction pipeline},

author = {Nicole Kitner and Jessica R Rodgers and Tamas Ungi and Martin Korzeniowski and Tim Olding and Chandra P Joshi and Parvin Mousavi and Gabor Fichtinger},

url = {https://scholar.google.com/scholar?cluster=1706675649324850852&hl=en&oi=scholarr},

year  = {2022},

date = {2022-01-01},

volume = {49},

issue = {8},

pages = {5662-5662},

publisher = {WILEY},

keywords = {},

pubstate = {published},

tppubtype = {article}

}