AIMC Topic: Brachytherapy

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Machine Segmentation of Pelvic Anatomy in MRI-Assisted Radiosurgery (MARS) for Prostate Cancer Brachytherapy.

International journal of radiation oncology, biology, physics Jul 4, 2020
PURPOSE: To investigate machine segmentation of pelvic anatomy in magnetic resonance imaging (MRI)-assisted radiosurgery (MARS) for prostate cancer using prostate brachytherapy MRIs acquired with different pulse sequences and image contrasts.
Image Processing, Computer-Assisted Prostatic Neoplasms Prostate Pelvis Male Deep Learning Cohort Studies Entropy Urethra Magnetic Resonance Imaging, Interventional Seminal Vesicles Rectum Brachytherapy Radiosurgery Urinary Bladder Humans Neural Networks, Computer Retrospective Studies
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Label-driven magnetic resonance imaging (MRI)-transrectal ultrasound (TRUS) registration using weakly supervised learning for MRI-guided prostate radiotherapy.

Physics in medicine and biology Jun 26, 2020
Registration and fusion of magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) of the prostate can provide guidance for prostate brachytherapy. However, accurate registration remains a challenging task due to the lack of ground truth r...
Rectum Supervised Machine Learning Brachytherapy Radiotherapy, Image-Guided Ultrasonography Humans Imaging, Three-Dimensional Male Magnetic Resonance Imaging Prostatic Neoplasms
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RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy Via Deep Learning.

International journal of radiation oncology, biology, physics May 12, 2020
PURPOSE: Detailed and accurate absorbed dose calculations from radiation interactions with the human body can be obtained with the Monte Carlo (MC) method. However, the MC method can be slow for use in the time-sensitive clinical workflow. The aim of...
Deep Learning Prostatic Neoplasms Prostate Rectum Female Uterine Cervical Neoplasms Male Brachytherapy Radiotherapy Dosage Monte Carlo Method Urinary Bladder Colon, Sigmoid Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Neural Networks, Computer Retrospective Studies Iridium Radioisotopes
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Conventional vs machine learning-based treatment planning in prostate brachytherapy: Results of a Phase I randomized controlled trial.

Brachytherapy Apr 19, 2020
PURPOSE: The purpose of this study was to evaluate the noninferiority of Day 30 dosimetry between a machine learning-based treatment planning system for prostate low-dose-rate (LDR) brachytherapy and the conventional, manual planning technique. As a ...
Postoperative Period Brachytherapy Radiotherapy Dosage Radiometry Workflow Iodine Radioisotopes Radiotherapy Planning, Computer-Assisted Radiation Dosage Time Factors Prostatic Neoplasms Rectum Humans Machine Learning Aged Male Middle Aged
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Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.

Medical physics Apr 8, 2020
PURPOSE: Needle-based procedures for diagnosing and treating prostate cancer, such as biopsy and brachytherapy, have incorporated three-dimensional (3D) transrectal ultrasound (TRUS) imaging to improve needle guidance. Using these images effectively ...
Prostate Ultrasonography Brachytherapy Humans Imaging, Three-Dimensional Male Image Processing, Computer-Assisted Deep Learning Prostatic Neoplasms
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Automatic detection of brachytherapy seeds in 3D ultrasound images using a convolutional neural network.

Physics in medicine and biology Feb 5, 2020
A novel approach for automatic localization of brachytherapy seeds in 3D transrectal ultrasound (TRUS) images, using machine learning based algorithm, is presented. 3D radiofrequency ultrasound signals were collected from 13 patients using the linear...
Algorithms Male Ultrasonography Imaging, Three-Dimensional Prostatic Neoplasms Brachytherapy Neoplasm Seeding Humans Neural Networks, Computer
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Deep-learning assisted automatic digitization of interstitial needles in 3D CT image based high dose-rate brachytherapy of gynecological cancer.

Physics in medicine and biology Oct 23, 2019
Digitization of interstitial needles is a complicated and tedious process for the treatment planning of 3D CT image based interstitial high dose-rate brachytherapy (HDRBT) of gynecological cancer. We developed a deep-learning assisted auto-digitizati...
Humans Deep Learning Tomography, X-Ray Computed Imaging, Three-Dimensional Female Genital Neoplasms, Female Brachytherapy
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Generative adversarial networks (GAN) for compact beam source modelling in Monte Carlo simulations.

Physics in medicine and biology Oct 23, 2019
A method is proposed and evaluated to model large and inconvenient phase space files used in Monte Carlo simulations by a compact generative adversarial network (GAN). The GAN is trained based on a phase space dataset to create a neural network, call...
Monte Carlo Method Particle Accelerators Neural Networks, Computer Computer Simulation Brachytherapy
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Fully automatic catheter segmentation in MRI with 3D convolutional neural networks: application to MRI-guided gynecologic brachytherapy.

Physics in medicine and biology Aug 14, 2019
External-beam radiotherapy followed by high dose rate (HDR) brachytherapy is the standard-of-care for treating gynecologic cancers. The enhanced soft-tissue contrast provided by magnetic resonance imaging (MRI) makes it a valuable imaging modality fo...
Pattern Recognition, Automated Genital Neoplasms, Female Image Processing, Computer-Assisted Humans Brachytherapy Magnetic Resonance Imaging Neural Networks, Computer Catheters, Indwelling Radiotherapy, Image-Guided Algorithms Female
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Deep-learning-assisted automatic digitization of applicators in 3D CT image-based high-dose-rate brachytherapy of gynecological cancer.

Brachytherapy Jul 22, 2019
PURPOSE: Applicator digitization is one of the most critical steps in 3D high-dose-rate brachytherapy (HDRBT) treatment planning. Motivated by recent advances in deep-learning, we propose a deep-learning-assisted applicator digitization method for 3D...
Genital Neoplasms, Female Brachytherapy Radiotherapy, Computer-Assisted Humans Algorithms Tomography, X-Ray Computed Female Deep Learning Imaging, Three-Dimensional Feasibility Studies
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