AI Medical Compendium Journal:
Journal of applied clinical medical physics

Showing 51 to 60 of 159 articles

Deep learning segmentation of organs-at-risk with integration into clinical workflow for pediatric brain radiotherapy.

Journal of applied clinical medical physics Feb 19, 2024
PURPOSE: Radiation therapy (RT) of pediatric brain cancer is known to be associated with long-term neurocognitive deficits. Although target and organs-at-risk (OARs) are contoured as part of treatment planning, other structures linked to cognitive fu...
Organs at Risk Radiotherapy Planning, Computer-Assisted Image Processing, Computer-Assisted Workflow Humans Brain Infant Adolescent Deep Learning Child, Preschool Child Young Adult Adult Brain Neoplasms
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Technical note: Minimizing CIED artifacts on a 0.35 T MRI-Linac using deep learning.

Journal of applied clinical medical physics Feb 18, 2024
BACKGROUND: Artifacts from implantable cardioverter defibrillators (ICDs) are a challenge to magnetic resonance imaging (MRI)-guided radiotherapy (MRgRT).
Humans Artifacts Radiotherapy, Image-Guided Defibrillators, Implantable Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Automated size-specific dose estimates framework in thoracic CT using convolutional neural network based on U-Net model.

Journal of applied clinical medical physics Jan 31, 2024
PURPOSE: This study aimed to develop an automated method that uses a convolutional neural network (CNN) for calculating size-specific dose estimates (SSDEs) based on the corrected effective diameter (D ) in thoracic computed tomography (CT).
Humans Linear Models Radiation Dosage Neural Networks, Computer Algorithms Tomography, X-Ray Computed Adult
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A quantitative evaluation of the deep learning model of segmentation and measurement of cervical spine MRI in healthy adults.

Journal of applied clinical medical physics Jan 25, 2024
PURPOSE: To evaluate the 3D U-Net model for automatic segmentation and measurement of cervical spine structures using magnetic resonance (MR) images of healthy adults.
Humans Retrospective Studies Magnetic Resonance Imaging Cervical Vertebrae Spinal Cord Adult Deep Learning
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A deep learning approach to remove contrast from contrast-enhanced CT for proton dose calculation.

Journal of applied clinical medical physics Jan 25, 2024
PURPOSE: Non-Contrast Enhanced CT (NCECT) is normally required for proton dose calculation while Contrast Enhanced CT (CECT) is often scanned for tumor and organ delineation. Possible tissue motion between these two CTs raises dosimetry uncertainties...
Proton Therapy Humans Radiometry Protons Imaging, Three-Dimensional Image Processing, Computer-Assisted Tomography, X-Ray Computed Radiotherapy Planning, Computer-Assisted Deep Learning
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Gross failure rates and failure modes for a commercial AI-based auto-segmentation algorithm in head and neck cancer patients.

Journal of applied clinical medical physics Jan 23, 2024
PURPOSE: Artificial intelligence (AI) based commercial software can be used to automatically delineate organs at risk (OAR), with potential for efficiency savings in the radiotherapy treatment planning pathway, and reduction of inter- and intra-obser...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Head and Neck Neoplasms Organs at Risk Humans Artificial Intelligence Software Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted
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CT image denoising methods for image quality improvement and radiation dose reduction.

Journal of applied clinical medical physics Jan 19, 2024
With the ever-increasing use of computed tomography (CT), concerns about its radiation dose have become a significant public issue. To address the need for radiation dose reduction, CT denoising methods have been widely investigated and applied in lo...
Radiation Dosage Signal-To-Noise Ratio Drug Tapering Radiographic Image Interpretation, Computer-Assisted Quality Improvement Humans Artificial Intelligence Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Impact of deep learning-based multiorgan segmentation methods on patient-specific internal dosimetry in PET/CT imaging: A comparative study.

Journal of applied clinical medical physics Jan 12, 2024
PURPOSE: Accurate and fast multiorgan segmentation is essential in image-based internal dosimetry in nuclear medicine. While conventional manual PET image segmentation is widely used, it suffers from both being time-consuming as well as subject to hu...
Image Processing, Computer-Assisted Positron Emission Tomography Computed Tomography Radiometry Humans Tomography, X-Ray Computed Deep Learning
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Evaluating the Hounsfield unit assignment and dose differences between CT-based standard and deep learning-based synthetic CT images for MRI-only radiation therapy of the head and neck.

Journal of applied clinical medical physics Dec 21, 2023
BACKGROUND: Magnetic resonance image only (MRI-only) simulation for head and neck (H&N) radiotherapy (RT) could allow for single-image modality planning with excellent soft tissue contrast. In the MRI-only simulation workflow, synthetic computed tomo...
Radiotherapy Planning, Computer-Assisted Humans Tomography, X-Ray Computed Radiotherapy Dosage Retrospective Studies Deep Learning Magnetic Resonance Imaging
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Automated detection and segmentation of pleural effusion on ultrasound images using an Attention U-net.

Journal of applied clinical medical physics Dec 13, 2023
BACKGROUND: Ultrasonic for detecting and evaluating pleural effusion is an essential part of the Extended Focused Assessment with Sonography in Trauma (E-FAST) in emergencies. Our study aimed to develop an Artificial Intelligence (AI) diagnostic mode...
Pleural Effusion Humans ROC Curve Artificial Intelligence Area Under Curve Ultrasonography
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