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Radiotherapy, Image-Guided

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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...
Humans Neural Networks, Computer Catheters, Indwelling Pattern Recognition, Automated Genital Neoplasms, Female Brachytherapy Radiotherapy, Image-Guided Algorithms Female Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Synthetic CT reconstruction using a deep spatial pyramid convolutional framework for MR-only breast radiotherapy.

Medical physics Aug 7, 2019
PURPOSE: The superior soft-tissue contrast achieved using magnetic resonance imaging (MRI) compared to x-ray computed tomography (CT) has led to the popularization of MRI-guided radiation therapy (MR-IGRT), especially in recent years with the advent ...
Breast Neoplasms Radiotherapy, Image-Guided Radiotherapy Planning, Computer-Assisted Humans Radiotherapy Dosage Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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MRI super-resolution reconstruction for MRI-guided adaptive radiotherapy using cascaded deep learning: In the presence of limited training data and unknown translation model.

Medical physics Aug 7, 2019
PURPOSE: Deep learning (DL)-based super-resolution (SR) reconstruction for magnetic resonance imaging (MRI) has recently been receiving attention due to the significant improvement in spatial resolution compared to conventional SR techniques. Challen...
Signal-To-Noise Ratio Radiotherapy, Image-Guided Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Respiration Deep Learning
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Image-Guided Robotic Radiosurgery for Treatment of Recurrent Grade II and III Meningiomas. A Single-Center Study.

World neurosurgery Jul 12, 2019
OBJECTIVE: Stereotactic radiosurgery (SRS) has been increasingly applied for malignant meningiomas as an alternative to conventionally fractioned radiation therapy. We performed a retrospective analysis of an institutional patient cohort with maligna...
Radiotherapy, Image-Guided Meningioma Meningeal Neoplasms Humans Prognosis Neoplasm Grading Retrospective Studies Neoplasm Recurrence, Local Aged, 80 and over Progression-Free Survival Middle Aged Adult Female Radiosurgery Treatment Outcome Male Aged Age Factors Robotics
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Incorporating imaging information from deep neural network layers into image guided radiation therapy (IGRT).

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jul 11, 2019
BACKGROUND AND PURPOSE: To investigate a novel markerless prostate localization strategy using a pre-trained deep learning model to interpret routine projection kilovoltage (kV) X-ray images in image-guided radiation therapy (IGRT).
Fiducial Markers Deep Learning Prostatic Neoplasms Patient Positioning Radiotherapy, Image-Guided Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Male
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Deep Convolution Neural Network (DCNN) Multiplane Approach to Synthetic CT Generation From MR images-Application in Brain Proton Therapy.

International journal of radiation oncology, biology, physics Jul 2, 2019
PURPOSE: The first aim of this work is to present a novel deep convolution neural network (DCNN) multiplane approach and compare it to single-plane prediction of synthetic computed tomography (sCT) by using the real computed tomography (CT) as ground...
Humans Neural Networks, Computer Algorithms Multimodal Imaging Glioblastoma Feasibility Studies Radiotherapy Planning, Computer-Assisted Head Tomography, X-Ray Computed Reproducibility of Results Brain Neoplasms Magnetic Resonance Imaging Radiotherapy, Image-Guided Technology, Radiologic Radiotherapy Dosage Air Skull Proton Therapy
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Automatic gas detection in prostate cancer patients during image-guided radiation therapy using a deep convolutional neural network.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jun 21, 2019
PURPOSE: The detection of intestinal/rectal gas is very important during image-guided radiation therapy (IGRT) of prostate cancer patients because intestinal/rectal gas increases the inter- and intra-fractional prostate motion. We propose a deep conv...
Humans Tomography, X-Ray Computed Male Deep Learning Gases Image Processing, Computer-Assisted Radiotherapy, Image-Guided Intestines Prostatic Neoplasms Automation
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A Deep Learning Model for Predicting Xerostomia Due to Radiation Therapy for Head and Neck Squamous Cell Carcinoma in the RTOG 0522 Clinical Trial.

International journal of radiation oncology, biology, physics Jun 13, 2019
PURPOSE: Xerostomia commonly occurs in patients who undergo head and neck radiation therapy and can seriously affect patients' quality of life. In this study, we developed a xerostomia prediction model with radiation treatment data using a 3-dimensio...
Radiotherapy, Image-Guided Laryngeal Neoplasms Pharyngeal Neoplasms Oropharyngeal Neoplasms Hypopharyngeal Neoplasms Submandibular Gland Xerostomia Area Under Curve Parotid Gland Radiotherapy Planning, Computer-Assisted Radiotherapy, Conformal Deep Learning ROC Curve Logistic Models Squamous Cell Carcinoma of Head and Neck Humans Retrospective Studies Tomography, X-Ray Computed
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Markerless Pancreatic Tumor Target Localization Enabled By Deep Learning.

International journal of radiation oncology, biology, physics Jun 13, 2019
PURPOSE: Deep learning is an emerging technique that allows us to capture imaging information beyond the visually recognizable level of a human being. Because of the anatomic characteristics and location, on-board target verification for radiation de...
Humans Organ Motion Neural Networks, Computer Datasets as Topic Deep Learning Pancreas Image Processing, Computer-Assisted Radiotherapy, Image-Guided Pancreatic Neoplasms Fiducial Markers Radiography
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Development and Validation of a Bayesian Network Method to Detect External Beam Radiation Therapy Physician Order Errors.

International journal of radiation oncology, biology, physics May 31, 2019
PURPOSE: To investigate a Bayesian network (BN)-based method to detect errors in external beam radiation therapy physician orders.
Radiotherapy Planning, Computer-Assisted Simulation Training Cohort Studies Radiotherapy Dosage Humans Datasets as Topic ROC Curve Organ Specificity False Negative Reactions Medical Errors Neural Networks, Computer Bayes Theorem Dose Fractionation, Radiation False Positive Reactions Radiotherapy Setup Errors Algorithms Radiologists Radiotherapy, Image-Guided Technology, Radiologic Neoplasms
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