Paper
12 March 2014 Towards enabling ultrasound guidance in cervical cancer high-dose-rate brachytherapy
Adrian Wong, Samira Sojoudia, Marc Gaudet, Wan Wan Yap, Silvia D. Chang, Purang Abolmaesumi, Christina Aquino-Parsons, Mehdi Moradi
Author Affiliations +
Abstract
MRI and Computed Tomography (CT) are used in image-based solutions for guiding High Dose Rate (HDR) brachytherapy treatment of cervical cancer. MRI is costly and CT exposes the patients to ionizing radiation. Ultrasound, on the other hand, is affordable and safe. The long-term goal of our work is to enable the use of multiparametric ultrasound imaging in image-guided HDR for cervical cancer. In this paper, we report the development of enabling technology for ultrasound guidance and tissue typing. We report a system to obtain the 3D freehand transabdominal ultrasound RF signals and B-mode images of the uterus, and a method for registration of ultrasound to MRI. MRI and 3D ultrasound images of the female pelvis were registered by contouring the uterus in the two modalities, creating a surface model, followed by rigid and B-spline deformable registration. The resulting transformation was used to map the location of the tumor from the T2-weighted MRI to ultrasound images and to determine cancerous and normal areas in ultrasound. B-mode images show a contrast for cancer vs. normal tissue. Our study shows the potential and the challenges of ultrasound imaging in guiding cervical cancer treatments.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Adrian Wong, Samira Sojoudia, Marc Gaudet, Wan Wan Yap, Silvia D. Chang, Purang Abolmaesumi, Christina Aquino-Parsons, and Mehdi Moradi "Towards enabling ultrasound guidance in cervical cancer high-dose-rate brachytherapy", Proc. SPIE 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, 90361Q (12 March 2014); https://doi.org/10.1117/12.2044235
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KEYWORDS
Magnetic resonance imaging

Ultrasonography

Uterus

Tumors

Image registration

Cervical cancer

3D modeling

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