AIMC Journal:
Medical physics

Showing 241 to 250 of 732 articles

Dead detector element detection in flat panels using convolutional neural networks.

Medical physics Nov 29, 2022
BACKGROUND: Independent testing of image quality metrics is important to provide an unbiased determination of medical imaging performance. Due to the underreporting by vendors of dead detector elements, which are elements that do not function but may...
Neural Networks, Computer Mammography X-Rays Algorithms
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Technical note: Phantom-based training framework for convolutional neural network CT noise reduction.

Medical physics Nov 26, 2022
BACKGROUND: Deep artificial neural networks such as convolutional neural networks (CNNs) have been shown to be effective models for reducing noise in CT images while preserving anatomic details. A practical bottleneck for developing CNN-based denoisi...
Humans Neural Networks, Computer Tomography Scanners, X-Ray Computed Signal-To-Noise Ratio Tomography, X-Ray Computed Phantoms, Imaging Image Processing, Computer-Assisted
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Deep learning-based internal gross target volume definition in 4D CT images of lung cancer patients.

Medical physics Nov 25, 2022
BACKGROUND: Contouring of internal gross target volume (iGTV) is an essential part of treatment planning in radiotherapy to mitigate the impact of intra-fractional target motion. However, it is usually time-consuming and easily subjected to intra-obs...
Radiotherapy Planning, Computer-Assisted Tumor Burden Four-Dimensional Computed Tomography Image Processing, Computer-Assisted Lung Neoplasms Humans Deep Learning
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Explainability and controllability of patient-specific deep learning with attention-based augmentation for markerless image-guided radiotherapy.

Medical physics Nov 24, 2022
BACKGROUND: We reported the concept of patient-specific deep learning (DL) for real-time markerless tumor segmentation in image-guided radiotherapy (IGRT). The method was aimed to control the attention of convolutional neural networks (CNNs) by artif...
Image Processing, Computer-Assisted Lung Neoplasms Radiotherapy, Image-Guided Retrospective Studies Deep Learning Humans Neural Networks, Computer
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Posterior estimation using deep learning: a simulation study of compartmental modeling in dynamic positron emission tomography.

Medical physics Nov 18, 2022
BACKGROUND: In medical imaging, images are usually treated as deterministic, while their uncertainties are largely underexplored.
Bayes Theorem Positron-Emission Tomography Computer Simulation Deep Learning Neural Networks, Computer
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Seq2Morph: A deep learning deformable image registration algorithm for longitudinal imaging studies and adaptive radiotherapy.

Medical physics Nov 10, 2022
PURPOSE: To simultaneously register all the longitudinal images acquired in a radiotherapy course for analyzing patients' anatomy changes for adaptive radiotherapy (ART).
Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted Humans Algorithms Radiotherapy Planning, Computer-Assisted
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Patient-specific transfer learning for auto-segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi-centric evaluation.

Medical physics Nov 7, 2022
BACKGROUND: Online adaptive radiation therapy (RT) using hybrid magnetic resonance linear accelerators (MR-Linacs) can administer a tailored radiation dose at each treatment fraction. Daily MR imaging followed by organ and target segmentation adjustm...
Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Male Prostatic Neoplasms Organs at Risk Artificial Intelligence Image Processing, Computer-Assisted Machine Learning Humans
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Multi-scale, domain knowledge-guided attention + random forest: a two-stage deep learning-based multi-scale guided attention models to diagnose idiopathic pulmonary fibrosis from computed tomography images.

Medical physics Nov 5, 2022
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive, irreversible, and usually fatal lung disease of unknown reasons, generally affecting the elderly population. Early diagnosis of IPF is crucial for triaging patients' treatment planning...
Retrospective Studies Tomography, X-Ray Computed Humans Idiopathic Pulmonary Fibrosis Random Forest Lung Diseases, Interstitial Aged Deep Learning
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Technical note: A method to synthesize magnetic resonance images in different patient rotation angles with deep learning for gantry-free radiotherapy.

Medical physics Oct 18, 2022
BACKGROUND: Recently, patient rotating devices for gantry-free radiotherapy, a new approach to implement external beam radiotherapy, have been introduced. When a patient is rotated in the horizontal position, gravity causes anatomic deformation. For ...
Male Deep Learning Rotation Radiotherapy Planning, Computer-Assisted Humans Image Processing, Computer-Assisted Patient Positioning Magnetic Resonance Imaging Computer Simulation
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Efficient dose-volume histogram-based pretreatment patient-specific quality assurance methodology with combined deep learning and machine learning models for volumetric modulated arc radiotherapy.

Medical physics Oct 17, 2022
BACKGROUND: Weak correlation between gamma passing rates and dose differences in target volumes and organs at risk (OARs) has been reported in several studies. Evaluation on the differences between planned dose-volume histogram (DVH) and reconstructe...
Deep Learning Organs at Risk Humans Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Machine Learning Radiotherapy, Intensity-Modulated
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