AIMC Journal:
Medical physics

Showing 411 to 420 of 732 articles

Echocardiographic image multi-structure segmentation using Cardiac-SegNet.

Medical physics Apr 1, 2021
PURPOSE: Cardiac boundary segmentation of echocardiographic images is important for cardiac function assessment and disease diagnosis. However, it is challenging to segment cardiac ventricles due to the low contrast-to-noise ratio and speckle noise o...
Image Processing, Computer-Assisted Heart Neural Networks, Computer Echocardiography Humans Heart Ventricles
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An end-to-end-trainable iterative network architecture for accelerated radial multi-coil 2D cine MR image reconstruction.

Medical physics Apr 1, 2021
PURPOSE: Iterative convolutional neural networks (CNNs) which resemble unrolled learned iterative schemes have shown to consistently deliver state-of-the-art results for image reconstruction problems across different imaging modalities. However, beca...
Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Magnetic Resonance Imaging, Cine
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Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study.

Medical physics Mar 30, 2021
PURPOSE: The present study assessed the predictive value of peritumoral regions on three tumor tasks, and further explored the influence of peritumors with different sizes.
ROC Curve Retrospective Studies Deep Learning Humans Artificial Intelligence
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A Cascade-SEME network for COVID-19 detection in chest x-ray images.

Medical physics Mar 29, 2021
PURPOSE: The worldwide spread of the SARS-CoV-2 virus poses unprecedented challenges to medical resources and infection prevention and control measures around the world. In this case, a rapid and effective detection method for COVID-19 can not only r...
SARS-CoV-2 Humans COVID-19 Deep Learning X-Rays Neural Networks, Computer Algorithms
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In vivo evaluation of angulated needle-guide template for MRI-guided transperineal prostate biopsy.

Medical physics Mar 24, 2021
PURPOSE: Magnetic resonance imaging (MRI)-guided transperineal prostate biopsy has been practiced since the early 2000s. The technique often suffers from targeting error due to deviation of the needle as a result of physical interaction between the n...
Image-Guided Biopsy Swine Animals Humans Magnetic Resonance Imaging Prostate Male Needles Robotics Prostatic Neoplasms
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AAPM Task Group 264: The safe clinical implementation of MLC tracking in radiotherapy.

Medical physics Mar 23, 2021
The era of real-time radiotherapy is upon us. Robotic and gimbaled linac tracking are clinically established technologies with the clinical realization of couch tracking in development. Multileaf collimators (MLCs) are a standard equipment for most c...
Humans Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Robotics Radiation Oncology Particle Accelerators
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Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.

Medical physics Mar 16, 2021
PURPOSE: To develop a two-stage three-dimensional (3D) convolutional neural networks (CNNs) for fully automated volumetric segmentation of pancreas on computed tomography (CT) and to further evaluate its performance in the context of intra-reader and...
Reproducibility of Results Male Deep Learning Image Processing, Computer-Assisted Tomography, X-Ray Computed Female Humans Pancreas Radiation Dosage
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Radiation dose calculation in 3D heterogeneous media using artificial neural networks.

Medical physics Mar 16, 2021
PURPOSE: External beam radiotherapy (EBRT) treatment planning requires a fast and accurate method of calculating the dose delivered by a clinical treatment plan. However, existing methods of calculating dose distributions have limitations. Monte Carl...
Radiotherapy Planning, Computer-Assisted Radiation Dosage Monte Carlo Method Radiometry Humans Radiotherapy Dosage Neural Networks, Computer
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Abnormal lung quantification in chest CT images of COVID-19 patients with deep learning and its application to severity prediction.

Medical physics Mar 9, 2021
OBJECTIVE: Computed tomography (CT) provides rich diagnosis and severity information of COVID-19 in clinical practice. However, there is no computerized tool to automatically delineate COVID-19 infection regions in chest CT scans for quantitative ass...
Lung Deep Learning Image Interpretation, Computer-Assisted COVID-19 Tomography, X-Ray Computed Humans
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Automatic liver segmentation using 3D convolutional neural networks with a hybrid loss function.

Medical physics Mar 4, 2021
PURPOSE: Automatic liver segmentation from abdominal computed tomography (CT) images is a fundamental task in computer-assisted liver surgery programs. Many liver segmentation algorithms are very sensitive to fuzzy boundaries and heterogeneous pathol...
Liver Image Processing, Computer-Assisted Abdomen Neural Networks, Computer Algorithms Tomography, X-Ray Computed
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