AIMC Topic: Brachytherapy

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A new multimodal, image-guided, robot-assisted, interstitial brachytherapy for the treatment of head and neck tumors-A preliminary study.

The international journal of medical robotics + computer assisted surgery : MRCAS Jul 6, 2020
BACKGROUND: Interstitial brachytherapy (BT) is becoming an accepted treatment option for head and neck cancer patients for whom surgery poses high risks. Multimodal, image-guided, robotic surgery has the potential to allow precise seed implantation i...
Tomography, X-Ray Computed Head and Neck Neoplasms Robotics Brachytherapy Humans Retrospective Studies
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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.
Male Urinary Bladder Deep Learning Humans Cohort Studies Prostate Image Processing, Computer-Assisted Neural Networks, Computer Entropy Pelvis Prostatic Neoplasms Seminal Vesicles Retrospective Studies Urethra Rectum Brachytherapy Magnetic Resonance Imaging, Interventional Radiosurgery
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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...
Ultrasonography Imaging, Three-Dimensional Magnetic Resonance Imaging Prostatic Neoplasms Humans Male Radiotherapy, Image-Guided Rectum Supervised Machine Learning Brachytherapy
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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...
Brachytherapy Radiotherapy Dosage Monte Carlo Method Urinary Bladder Colon, Sigmoid Organs at Risk Radiotherapy Planning, Computer-Assisted Iridium Radioisotopes Female Uterine Cervical Neoplasms Male Prostate Rectum Deep Learning Prostatic Neoplasms Humans Neural Networks, Computer Retrospective Studies
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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 ...
Brachytherapy Radiotherapy Dosage Radiometry Prostatic Neoplasms Rectum Workflow Radiation Dosage Postoperative Period Iodine Radioisotopes Aged Radiotherapy Planning, Computer-Assisted Humans Male Middle Aged Machine Learning Time Factors
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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 ...
Male Deep Learning Ultrasonography Prostatic Neoplasms Prostate Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Brachytherapy
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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...
Brachytherapy Neoplasm Seeding Ultrasonography Imaging, Three-Dimensional Prostatic Neoplasms Humans Algorithms Neural Networks, Computer Male
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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...
Genital Neoplasms, Female Humans Brachytherapy Tomography, X-Ray Computed Female Deep Learning Imaging, Three-Dimensional
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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...
Brachytherapy Neural Networks, Computer Monte Carlo Method Computer Simulation Particle Accelerators
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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...
Catheters, Indwelling Pattern Recognition, Automated Genital Neoplasms, Female Humans Female Brachytherapy Neural Networks, Computer Image Processing, Computer-Assisted Radiotherapy, Image-Guided Algorithms Magnetic Resonance Imaging
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