AIMC Topic: Radiation Dosage

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Deep learning-based segmentation for high-dose-rate brachytherapy in cervical cancer using 3D Prompt-ResUNet.

Physics in medicine and biology Sep 27, 2024
To develop and evaluate a 3D Prompt-ResUNet module that utilized the prompt-based model combined with 3D nnUNet for rapid and consistent autosegmentation of high-risk clinical target volume (HRCTV) and organ at risk (OAR) in high-dose-rate brachyther...
Brachytherapy Radiotherapy Dosage Uterine Cervical Neoplasms Humans Deep Learning Tomography, X-Ray Computed Imaging, Three-Dimensional Female Radiotherapy Planning, Computer-Assisted Image Processing, Computer-Assisted Radiation Dosage Organs at Risk
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Radiation dose reduction in pediatric computed tomography (CT) using deep convolutional neural network denoising.

Clinical radiology Sep 21, 2024
AIM: We evaluated the quality of noncontrast chest computed tomography (CT) for pediatric patients at two dose levels with and without denoising using a deep convolutional neural network (CNN).
Radiography, Thoracic Infant Tomography, X-Ray Computed Convolutional Neural Networks Child, Preschool Radiographic Image Interpretation, Computer-Assisted Humans Female Adolescent Child Neural Networks, Computer Radiation Dosage Male Retrospective Studies
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Advances in spatial resolution and radiation dose reduction using super-resolution deep learning-based reconstruction for abdominal computed tomography: A phantom study.

Academic radiology Sep 20, 2024
RATIONALE AND OBJECTIVES: This study evaluated the performance of super-resolution deep learning-based reconstruction (SR-DLR) and compared with it that of hybrid iterative reconstruction (HIR) and normal-resolution DLR (NR-DLR) for enhancing image q...
Signal-To-Noise Ratio Phantoms, Imaging Radiography, Abdominal Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Tomography, X-Ray Computed
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Deep learning reconstruction algorithm and high-concentration contrast medium: feasibility of a double-low protocol in coronary computed tomography angiography.

European radiology Sep 19, 2024
OBJECTIVE: To evaluate radiation dose and image quality of a double-low CCTA protocol reconstructed utilizing high-strength deep learning image reconstructions (DLIR-H) compared to standard adaptive statistical iterative reconstruction (ASiR-V) proto...
Prospective Studies Female Humans Algorithms Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Feasibility Studies Radiation Dosage Computed Tomography Angiography Deep Learning Contrast Media Coronary Angiography Aged Male Middle Aged
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Ultralow dose coronary calcium scoring CT at reduced tube voltage and current by using deep learning image reconstruction.

European journal of radiology Sep 19, 2024
OBJECTIVE: To explore the potential of the deep learning reconstruction (DLR) for ultralow dose calcium scoring CT (CSCT) with simultaneously reduced tube voltage and current.
Vascular Calcification Tomography, X-Ray Computed Female Aged Coronary Angiography Male Humans Coronary Artery Disease Radiographic Image Interpretation, Computer-Assisted Middle Aged Prospective Studies Radiation Dosage Deep Learning
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Deep Learning-Based Denoising Enables High-Quality, Fully Diagnostic Neuroradiological Trauma CT at 25% Radiation Dose.

Academic radiology Sep 18, 2024
RATIONALE AND OBJECTIVES: Traumatic neuroradiological emergencies necessitate rapid and accurate diagnosis, often relying on computed tomography (CT). However, the associated ionizing radiation poses long-term risks. Modern artificial intelligence re...
Male Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Aged Adult Sensitivity and Specificity Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Female
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Benchmarking deep learning-based low-dose CT image denoising algorithms.

Medical physics Sep 17, 2024
BACKGROUND: Long-lasting efforts have been made to reduce radiation dose and thus the potential radiation risk to the patient for computed tomography (CT) acquisitions without severe deterioration of image quality. To this end, various techniques hav...
Benchmarking Radiation Dosage Signal-To-Noise Ratio Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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Pulmonary nodule visualization and evaluation of AI-based detection at various ultra-low-dose levels using photon-counting detector CT.

Acta radiologica (Stockholm, Sweden : 1987) Sep 15, 2024
BACKGROUND: Radiation dose should be as low as reasonably achievable. With the invention of photon-counting detector computed tomography (PCD-CT), the radiation dose may be considerably reduced.
Lung Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Humans Artificial Intelligence Tomography, X-Ray Computed Radiation Dosage Phantoms, Imaging Photons
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A Novel Network for Low-Dose CT Denoising Based on Dual-Branch Structure and Multi-Scale Residual Attention.

Journal of imaging informatics in medicine Sep 11, 2024
Deep learning-based denoising of low-dose medical CT images has received great attention both from academic researchers and physicians in recent years, and has shown important application value in clinical practice. In this work, a novel two-branch a...
Humans Radiation Dosage Deep Learning Algorithms Image Processing, Computer-Assisted Signal-To-Noise Ratio Tomography, X-Ray Computed
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Deep learning-based techniques for estimating high-quality full-dose positron emission tomography images from low-dose scans: a systematic review.

BMC medical imaging Sep 11, 2024
This systematic review aimed to evaluate the potential of deep learning algorithms for converting low-dose Positron Emission Tomography (PET) images to full-dose PET images in different body regions. A total of 55 articles published between 2017 and ...
Deep Learning Image Processing, Computer-Assisted Positron-Emission Tomography Radiation Dosage Humans
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