AIMC Topic: Radiation Dosage

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Iterative reconstruction and deep learning algorithms for enabling low-dose computed tomography in midfacial trauma.

Oral surgery, oral medicine, oral pathology and oral radiology Dec 8, 2020
OBJECTIVES: The objective of this study was to quantitatively assess the image quality of Advanced Modeled Iterative Reconstruction (ADMIRE) and the PixelShine (PS) deep learning algorithm for the optimization of low-dose computed tomography protocol...
Humans Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Algorithms Tomography, X-Ray Computed Deep Learning
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Artificial intelligence in image reconstruction: The change is here.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Nov 24, 2020
Innovations in CT have been impressive among imaging and medical technologies in both the hardware and software domain. The range and speed of CT scanning improved from the introduction of multidetector-row CT scanners with wide-array detectors and f...
Artificial Intelligence Algorithms Radiation Dosage Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted
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Improving Image Quality and Reducing Radiation Dose for Pediatric CT by Using Deep Learning Reconstruction.

Radiology Nov 17, 2020
Background CT deep learning reconstruction (DLR) algorithms have been developed to remove image noise. How the DLR affects image quality and radiation dose reduction has yet to be fully investigated. Purpose To investigate a DLR algorithm's dose redu...
Humans Retrospective Studies Common Bile Duct Azygos Vein Radiation Dosage Adolescent Hepatic Veins Child, Preschool Adult Mesenteric Artery, Superior Child Male Radiographic Image Interpretation, Computer-Assisted Deep Learning Quality Improvement Tomography, X-Ray Computed Pediatrics Female Young Adult
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Automated size-specific dose estimates using deep learning image processing.

Medical image analysis Nov 12, 2020
An automated vendor-independent system for dose monitoring in computed tomography (CT) medical examinations involving ionizing radiation is presented in this paper. The system provides precise size-specific dose estimates (SSDE) following the America...
Radiation Dosage Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Retrospective Studies
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Deep learning reconstruction of equilibrium phase CT images in obese patients.

European journal of radiology Oct 28, 2020
PURPOSE: To compare abdominal equilibrium phase (EP) CT images of obese and non-obese patients to identify the reconstruction method that preserves the diagnostic value of images obtained in obese patients.
Radiographic Image Interpretation, Computer-Assisted Humans Radiation Dosage Algorithms Tomography, X-Ray Computed Deep Learning Obesity
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[Not Available].

Zeitschrift fur medizinische Physik Oct 20, 2020
BACKGROUND: Currently there is an ever increasing interest in Lu-177 targeted radionuclide therapies, which target neuro-endocrine and prostate tumours. For a patient-specific treatment, an individual dosimetry based on SPECT/CT imaging is necessary....
Single Photon Emission Computed Tomography Computed Tomography Neural Networks, Computer Male Kidney Humans Radiotherapy Dosage Prostatic Neoplasms Monte Carlo Method Radiotherapy Planning, Computer-Assisted Radiometry Radiation Dosage
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CT iterative vs deep learning reconstruction: comparison of noise and sharpness.

European radiology Oct 15, 2020
OBJECTIVES: To compare image noise and sharpness of vessels, liver, and muscle in lower extremity CT angiography between "adaptive statistical iterative reconstruction-V" (ASIR-V) and deep learning reconstruction "TrueFidelity" (TFI).
Male Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Humans Algorithms Tomography, X-Ray Computed Aged
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Combination of Deep Learning-Based Denoising and Iterative Reconstruction for Ultra-Low-Dose CT of the Chest: Image Quality and Lung-RADS Evaluation.

AJR. American journal of roentgenology Oct 14, 2020
The objective of our study was to assess the effect of the combination of deep learning-based denoising (DLD) and iterative reconstruction (IR) on image quality and Lung Imaging Reporting and Data System (Lung-RADS) evaluation on chest ultra-low-dos...
Radiography, Thoracic Humans Middle Aged Aged Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Deep Learning Adult Male Lung Neoplasms Artifacts Radiation Dosage Tomography, X-Ray Computed Female
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Deep learning-based image reconstruction for brain CT: improved image quality compared with adaptive statistical iterative reconstruction-Veo (ASIR-V).

Neuroradiology Oct 10, 2020
PURPOSE: To compare the image quality of brain computed tomography (CT) images reconstructed with deep learning-based image reconstruction (DLIR) and adaptive statistical iterative reconstruction-Veo (ASIR-V).
Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Algorithms Brain Tomography, X-Ray Computed Humans
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Noise reduction with cross-tracer and cross-protocol deep transfer learning for low-dose PET.

Physics in medicine and biology Sep 14, 2020
Previous studies have demonstrated the feasibility of reducing noise with deep learning-based methods for low-dose fluorodeoxyglucose (FDG) positron emission tomography (PET). This work aimed to investigate the feasibility of noise reduction for trac...
Signal-To-Noise Ratio Positron-Emission Tomography Image Enhancement Radiation Dosage Humans Deep Learning
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