AIMC Topic: Radiation Dosage

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Deep learning-based algorithms for low-dose CT imaging: A review.

European journal of radiology Feb 3, 2024
The computed tomography (CT) technique is extensively employed as an imaging modality in clinical settings. The radiation dose of CT, however, is significantly high, thereby raising concerns regarding the potential radiation damage it may cause. The ...
Radiation Dosage Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Humans Algorithms Prospective Studies Tomography, X-Ray Computed Deep Learning
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A physically constrained Monte Carlo-Neural Network coupling algorithm for BNCT dose calculation.

Medical physics Feb 1, 2024
BACKGROUND: In boron neutron capture therapy (BNCT)-a form of binary radiotherapy-the primary challenge in treatment planning systems for dose calculations arises from the time-consuming nature of the Monte Carlo (MC) method. Recent progress, includi...
Humans Neural Networks, Computer Radiotherapy Dosage Algorithms Monte Carlo Method Radiotherapy Planning, Computer-Assisted Boron Neutron Capture Therapy Radiation Dosage
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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).
Linear Models Humans Algorithms Radiation Dosage Neural Networks, Computer Tomography, X-Ray Computed Adult
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Improved image quality in CT pulmonary angiography using deep learning-based image reconstruction.

Scientific reports Jan 30, 2024
We investigated the effect of deep learning-based image reconstruction (DLIR) compared to iterative reconstruction on image quality in CT pulmonary angiography (CTPA) for suspected pulmonary embolism (PE). For 220 patients with suspected PE, CTPA stu...
Algorithms Radiation Dosage Tomography, X-Ray Computed Humans Angiography Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted
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Deep Learning-Based Reconstruction Improves the Image Quality of Low-Dose CT Colonography.

Academic radiology Jan 29, 2024
RATIONALE AND OBJECTIVES: To evaluate the image quality of low-dose CT colonography (CTC) using deep learning-based reconstruction (DLR) compared to iterative reconstruction (IR).
Female Radiation Dosage Humans Signal-To-Noise Ratio Adult Male Body Mass Index Colonography, Computed Tomographic Middle Aged Radiographic Image Interpretation, Computer-Assisted Deep Learning
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Improving image quality of triple-low-protocol renal artery CT angiography with deep-learning image reconstruction: a comparative study with standard-dose single-energy and dual-energy CT with adaptive statistical iterative reconstruction.

Clinical radiology Jan 23, 2024
AIM: To investigate the improvement in image quality of triple-low-protocol (low radiation, low contrast medium dose, low injection speed) renal artery computed tomography (CT) angiography (RACTA) using deep-learning image reconstruction (DLIR), in c...
Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Radiation Dosage Angiography Humans Deep Learning Computed Tomography Angiography Algorithms Image Processing, Computer-Assisted Renal Artery
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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...
Signal-To-Noise Ratio Drug Tapering Quality Improvement Radiation Dosage Humans Artificial Intelligence Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted
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Artificial intelligence-based image-domain material decomposition in single-energy computed tomography for head and neck cancer.

International journal of computer assisted radiology and surgery Jan 14, 2024
PURPOSE: While dual-energy computed tomography (DECT) images provide clinically useful information than single-energy CT (SECT), SECT remains the most widely used CT system globally, and only a few institutions can use DECT. This study aimed to estab...
Humans Radiation Dosage Radionuclide Imaging Artificial Intelligence Tomography, X-Ray Computed Head and Neck Neoplasms
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Deep-learning reconstruction with low-contrast media and low-kilovoltage peak for CT of the liver.

Clinical radiology Jan 6, 2024
AIM: To compare images using reduced CM, low-kVp scanning and DLR reconstruction with conventional images (no CM reduction, normal tube voltage, reconstructed with HBIR. To compare images using reduced contrast media (CM), low kilovoltage peak (kVp) ...
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Contrast Media Liver Algorithms Retrospective Studies Tomography, X-Ray Computed Humans Deep Learning Iodine
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Deep Learning-Based CT Noise Reduction for Perivascular Adipose Tissue Evaluation.

Academic radiology Jan 4, 2024
Humans Radiation Dosage Deep Learning Algorithms Adipose Tissue Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted
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