AIMC Journal:
Medical physics

Showing 201 to 210 of 732 articles

A hybrid model- and deep learning-based framework for functional lung image synthesis from multi-inflation CT and hyperpolarized gas MRI.

Medical physics Apr 1, 2023
BACKGROUND: Hyperpolarized gas MRI is a functional lung imaging modality capable of visualizing regional lung ventilation with exceptional detail within a single breath. However, this modality requires specialized equipment and exogenous contrast, wh...
Humans Tomography, X-Ray Computed Magnetic Resonance Imaging Pulmonary Ventilation Lung Deep Learning
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Automatic segmentation of neurovascular bundle on mri using deep learning based topological modulated network.

Medical physics Mar 25, 2023
PURPOSE: Radiation damage on neurovascular bundles (NVBs) may be the cause of sexual dysfunction after radiotherapy for prostate cancer. However, it is challenging to delineate NVBs as organ-at-risks from planning CTs during radiotherapy. Recently, t...
Prostatic Neoplasms Humans Image Processing, Computer-Assisted Male Magnetic Resonance Imaging Quality of Life Deep Learning
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Deep learning-based fast volumetric imaging using kV and MV projection images for lung cancer radiotherapy: A feasibility study.

Medical physics Mar 24, 2023
PURPOSE: The long acquisition time of CBCT discourages repeat verification imaging, therefore increasing treatment uncertainty. In this study, we present a fast volumetric imaging method for lung cancer radiation therapy using an orthogonal 2D kV/MV ...
Cone-Beam Computed Tomography Lung Neoplasms Humans Lung Deep Learning Feasibility Studies Phantoms, Imaging
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A pair of deep learning auto-contouring models for prostate cancer patients injected with a radio-transparent versus radiopaque hydrogel spacer.

Medical physics Mar 24, 2023
BACKGROUND: Absorbable hydrogel spacer injected between prostate and rectum is gaining popularity for rectal sparing. The spacer alters patient anatomy and thus requires new auto-contouring models.
Prostate Deep Learning Humans Radiotherapy Planning, Computer-Assisted Prostatic Neoplasms Male Hydrogels
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Rapid estimation of patient-specific organ doses using a deep learning network.

Medical physics Mar 23, 2023
BACKGROUND: Patient-specific organ-dose estimation in diagnostic CT examinations can provide useful insights on individualized secondary cancer risks, protocol optimization, and patient management. Current dose estimation techniques mainly rely on ti...
Humans Tomography, X-Ray Computed Deep Learning Phantoms, Imaging Radiation Dosage Radiometry Monte Carlo Method
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A quality-checked and physics-constrained deep learning method to estimate material basis images from single-kV contrast-enhanced chest CT scans.

Medical physics Mar 23, 2023
BACKGROUND: Single-kV CT imaging is one of the primary imaging methods in radiology practices. However, it does not provide material basis images for some subtle lesion characterization tasks in clinical diagnosis.
Phantoms, Imaging Iodine Water Humans Neural Networks, Computer Tomography, X-Ray Computed Deep Learning
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Application of synthetic data in the training of artificial intelligence for automated quality assurance in magnetic resonance imaging.

Medical physics Mar 21, 2023
BACKGROUND: Magnetic resonance imaging scanner faults can be missed during routine quality assurance (QA) if they are subtle, intermittent, or the test being performed is insensitive to the type of fault. Coil element malfunction is a common fault wi...
Neural Networks, Computer Artificial Intelligence Humans Magnetic Resonance Imaging Signal-To-Noise Ratio
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Development and multi-institutional validation of a convolutional neural network to detect vertebral body mis-alignments in 2D x-ray setup images.

Medical physics Mar 21, 2023
BACKGROUND: Misalignment to the incorrect vertebral body remains a rare but serious patient safety risk in image-guided radiotherapy (IGRT).
Vertebral Body Neural Networks, Computer Retrospective Studies Deep Learning X-Rays Humans
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Combining physics-based models with deep learning image synthesis and uncertainty in intraoperative cone-beam CT of the brain.

Medical physics Mar 21, 2023
BACKGROUND: Image-guided neurosurgery requires high localization and registration accuracy to enable effective treatment and avoid complications. However, accurate neuronavigation based on preoperative magnetic resonance (MR) or computed tomography (...
Humans Algorithms Image Processing, Computer-Assisted Uncertainty Pilot Projects Cone-Beam Computed Tomography Brain Deep Learning
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Deep learning based brain MRI registration driven by local-signed-distance fields of segmentation maps.

Medical physics Mar 19, 2023
BACKGROUND: Deep learning based unsupervised registration utilizes the intensity information to align images. To avoid the influence of intensity variation and improve the registration accuracy, unsupervised and weakly-supervised registration are com...
Magnetic Resonance Imaging Neuroimaging Brain Deep Learning
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