AIMC Journal:
Medical physics

Showing 341 to 350 of 732 articles

Application of machine learning classifiers to X-ray diffraction imaging with medically relevant phantoms.

Medical physics Dec 1, 2021
PURPOSE: Recent studies have demonstrated the ability to rapidly produce large field of view X-ray diffraction (XRD) images, which provide rich new data relevant to the understanding and analysis of disease. However, work has only just begun on devel...
Machine Learning Algorithms X-Ray Diffraction Phantoms, Imaging Support Vector Machine
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Deep-learning model observer for a low-contrast hepatic metastases localization task in computed tomography.

Medical physics Dec 1, 2021
PURPOSE: Conventional model observers (MO) in CT are often limited to a uniform background or varying background that is random and can be modeled in an analytical form. It is unclear if these conventional MOs can be readily generalized to predict hu...
Tomography, X-Ray Computed Deep Learning Humans Algorithms Observer Variation Radiation Dosage Phantoms, Imaging Liver Neoplasms Image Processing, Computer-Assisted
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Intentional deep overfit learning (IDOL): A novel deep learning strategy for adaptive radiation therapy.

Medical physics Nov 30, 2021
PURPOSE: Applications of deep learning (DL) are essential to realizing an effective adaptive radiotherapy (ART) workflow. Despite the promise demonstrated by DL approaches in several critical ART tasks, there remain unsolved challenges to achieve sat...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Humans Radiotherapy Dosage Deep Learning
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Deep learning-based ultrasonic dynamic video detection and segmentation of thyroid gland and its surrounding cervical soft tissues.

Medical physics Nov 29, 2021
BACKGROUND: The prevalence of thyroid diseases has been increasing year by year. In this study, we established and validated a deep learning method (Cascade region-based convolutional neural network, R-CNN) based on ultrasound videos for automatic de...
Ultrasonics Neural Networks, Computer Deep Learning Ultrasonography Humans Thyroid Gland Image Processing, Computer-Assisted
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Implementation and prospective clinical validation of AI-based planning and shimming techniques in cardiac MRI.

Medical physics Nov 23, 2021
PURPOSE: Cardiovascular magnetic resonance (CMR) is a vital diagnostic tool in the management of cardiovascular diseases. The advent of advanced CMR technologies combined with artificial intelligence (AI) has the potential to simplify imaging, reduce...
Humans Artificial Intelligence Reproducibility of Results Stroke Volume Prospective Studies Magnetic Resonance Imaging, Cine Magnetic Resonance Imaging Heart
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Automatic quadriceps and patellae segmentation of MRI with cascaded U -Net and SASSNet deep learning model.

Medical physics Nov 22, 2021
PURPOSE: Automatic muscle segmentation is critical for advancing our understanding of human physiology, biomechanics, and musculoskeletal pathologies, as it allows for timely exploration of large multi-dimensional image sets. Segmentation models are ...
Quadriceps Muscle Patella Image Processing, Computer-Assisted Magnetic Resonance Imaging Deep Learning Humans Adolescent Child
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Automatic liver tumor localization using deep learning-based liver boundary motion estimation and biomechanical modeling (DL-Bio).

Medical physics Nov 19, 2021
PURPOSE: Recently, two-dimensional-to-three-dimensional (2D-3D) deformable registration has been applied to deform liver tumor contours from prior reference images onto estimated cone-beam computed tomography (CBCT) target images to automate on-board...
Humans Algorithms Deep Learning Cone-Beam Computed Tomography Liver Neoplasms Image Processing, Computer-Assisted
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Low-dose CT reconstruction with Noise2Noise network and testing-time fine-tuning.

Medical physics Nov 17, 2021
PURPOSE: Deep learning-based image denoising and reconstruction methods demonstrated promising performance on low-dose CT imaging in recent years. However, most existing deep learning-based low-dose CT reconstruction methods require normal-dose image...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Algorithms Humans Research Design Phantoms, Imaging Neural Networks, Computer
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A deep learning-based method for detecting and classifying the ultrasound images of suspicious thyroid nodules.

Medical physics Nov 17, 2021
PURPOSE: The incidence of thyroid cancer has significantly increased in the last few decades. However, diagnosis of the thyroid nodules is labor and time intensive for radiologists and strongly depends on the personal experience of the radiologists. ...
Diagnosis, Computer-Assisted Deep Learning Humans Thyroid Nodule Thyroid Neoplasms Ultrasonography
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Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer.

Medical physics Nov 16, 2021
PURPOSE: Adaptive proton therapy (APT) of lung cancer patients requires frequent volumetric imaging of diagnostic quality. Cone-beam CT (CBCT) can provide these daily images, but x-ray scattering limits CBCT-image quality and hampers dose calculation...
Proton Therapy Image Processing, Computer-Assisted Lung Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Deep Learning Cone-Beam Computed Tomography Humans
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