AIMC Journal:
Medical physics

Showing 641 to 650 of 759 articles

High quality imaging from sparsely sampled computed tomography data with deep learning and wavelet transform in various domains.

Medical physics Nov 28, 2018
PURPOSE: Sparsely sampled computed tomography (CT) has been attracting attention as a technique that can reduce the high radiation dose of conventional CT. In general, iterative reconstruction techniques have been applied to sparsely sampled CT to re...
Wavelet Analysis Quality Control Radiation Dosage Deep Learning Image Processing, Computer-Assisted Humans Lung Tomography, X-Ray Computed
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A feasibility study on an automated method to generate patient-specific dose distributions for radiotherapy using deep learning.

Medical physics Nov 23, 2018
PURPOSE: To develop a method for predicting optimal dose distributions, given the planning image and segmented anatomy, by applying deep learning techniques to a database of previously optimized and approved Intensity-modulated radiation therapy trea...
Humans Neural Networks, Computer Deep Learning Radiotherapy Dosage Automation Feasibility Studies Radiation Dosage Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated
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Deep learning in medical imaging and radiation therapy.

Medical physics Nov 20, 2018
The goals of this review paper on deep learning (DL) in medical imaging and radiation therapy are to (a) summarize what has been achieved to date; (b) identify common and unique challenges, and strategies that researchers have taken to address these ...
Signal-To-Noise Ratio Diagnostic Imaging Humans Radiotherapy Artifacts Deep Learning Image Processing, Computer-Assisted
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Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks.

Medical physics Nov 8, 2018
PURPOSE: Precise segmentation of bladder walls and tumor regions is an essential step toward noninvasive identification of tumor stage and grade, which is critical for treatment decision and prognosis of patients with bladder cancer (BC). However, th...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Middle Aged Urinary Bladder Neoplasms Neural Networks, Computer Female Aged, 80 and over Adult Humans Aged
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A machine learning texture model for classifying lung cancer subtypes using preliminary bronchoscopic findings.

Medical physics Nov 8, 2018
PURPOSE: Bronchoscopy is useful in lung cancer detection, but cannot be used to differentiate cancer types. A computer-aided diagnosis (CAD) system was proposed to distinguish malignant cancer types to achieve objective diagnoses.
Machine Learning Female Aged Humans Lung Neoplasms Male Bronchoscopy Image Interpretation, Computer-Assisted Middle Aged Aged, 80 and over Adult
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Statistical learning in computed tomography image estimation.

Medical physics Nov 8, 2018
PURPOSE: There is increasing interest in computed tomography (CT) image estimations from magnetic resonance (MR) images. The estimated CT images can be utilized for attenuation correction, patient positioning, and dose planning in diagnostic and radi...
Magnetic Resonance Imaging Tomography, X-Ray Computed Humans Image Processing, Computer-Assisted Machine Learning
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CT sinogram-consistency learning for metal-induced beam hardening correction.

Medical physics Nov 8, 2018
PURPOSE: This paper proposes a sinogram-consistency learning method to deal with beam hardening-related artifacts in polychromatic computerized tomography (CT). The presence of highly attenuating materials in the scan field causes an inconsistent sin...
Humans Machine Learning Image Processing, Computer-Assisted Pelvis Artifacts Tomography, X-Ray Computed Metals
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A novel MRI segmentation method using CNN-based correction network for MRI-guided adaptive radiotherapy.

Medical physics Oct 28, 2018
PURPOSE: The purpose of this study was to expedite the contouring process for MRI-guided adaptive radiotherapy (MR-IGART), a convolutional neural network (CNN) deep-learning (DL) model is proposed to accurately segment the liver, kidneys, stomach, bo...
Magnetic Resonance Imaging Humans Retrospective Studies Kidney Transplantation Radiotherapy, Image-Guided Neural Networks, Computer Image Processing, Computer-Assisted
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Feasibility of photon beam profile deconvolution using a neural network.

Medical physics Oct 25, 2018
PURPOSE: Ionization chambers are the detectors of choice for photon beam profile scanning. However, they introduce significant volume averaging effect (VAE) that can artificially broaden the penumbra width by 2-3 mm. The purpose of this study was to ...
Radiometry Photons Neural Networks, Computer Feasibility Studies
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ScatterNet: A convolutional neural network for cone-beam CT intensity correction.

Medical physics Oct 8, 2018
PURPOSE: To demonstrate a proof-of-concept for fast cone-beam CT (CBCT) intensity correction in projection space by the use of deep learning.
Neural Networks, Computer Cone-Beam Computed Tomography Image Processing, Computer-Assisted Radiometry
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