Radiation Dosage

Influence of Deep Learning Based Image Reconstruction on Quantitative Results of Coronary Artery Calcium Scoring.

Academic radiology Apr 6, 2024

RATIONALE AND OBJECTIVES: To assess the impact of deep learning-based imaging reconstruction (DLIR) on quantitative results of coronary artery calcium scoring (CACS) and to evaluate the potential of DLIR for radiation dose reduction in CACS.

Retrospective Studies Female Aged Male Humans Coronary Artery Disease Coronary Vessels Radiation Dosage Vascular Calcification Phantoms, Imaging Middle Aged Deep Learning Coronary Angiography Radiographic Image Interpretation, Computer-Assisted

View on PubMed DOI

Exploring the Low-Dose Limit for Focal Hepatic Lesion Detection with a Deep Learning-Based CT Reconstruction Algorithm: A Simulation Study on Patient Images.

Journal of imaging informatics in medicine Mar 19, 2024

This study aims to investigate the maximum achievable dose reduction for applying a new deep learning-based reconstruction algorithm, namely the artificial intelligence iterative reconstruction (AIIR), in computed tomography (CT) for hepatic lesion d...

Humans Retrospective Studies Tomography, X-Ray Computed Female Algorithms Computer Simulation Liver Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Middle Aged Deep Learning Liver Neoplasms Aged Image Processing, Computer-Assisted Aged, 80 and over Adult Male

View on PubMed DOI

Improved overall image quality in low-dose dual-energy computed tomography enterography using deep-learning image reconstruction.

Abdominal radiology (New York) Mar 14, 2024

OBJECTIVE: To demonstrate the clinical advantages of a deep-learning image reconstruction (DLIR) in low-dose dual-energy computed tomography enterography (DECTE) by comparing images with standard-dose adaptive iterative reconstruction-Veo (ASIR-V) im...

Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Radiography, Dual-Energy Scanned Projection Adult Male Middle Aged Deep Learning Humans Female Aged Aged, 80 and over Prospective Studies Tomography, X-Ray Computed

View on PubMed DOI

Detection of urinary tract stones on submillisievert abdominopelvic CT imaging with deep-learning image reconstruction algorithm (DLIR).

Abdominal radiology (New York) Mar 12, 2024

PURPOSE: Urolithiasis is a chronic condition that leads to repeated CT scans throughout the patient's life. The goal was to assess the diagnostic performance and image quality of submillisievert abdominopelvic computed tomography (CT) using deep lear...

Radiography, Abdominal Urolithiasis Urinary Calculi Aged Aged, 80 and over Adult Sensitivity and Specificity Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Algorithms Male Retrospective Studies Humans Middle Aged Tomography, X-Ray Computed Female

View on PubMed DOI

Gated cardiac CT in infants: What can we expect from deep learning image reconstruction algorithm?

Journal of cardiovascular computed tomography Mar 12, 2024

BACKGROUND: ECG-gated cardiac CT is now widely used in infants with congenital heart disease (CHD). Deep Learning Image Reconstruction (DLIR) could improve image quality while minimizing the radiation dose.

Radiation Exposure Cardiac-Gated Imaging Techniques Radiation Dosage Heart Defects, Congenital Phantoms, Imaging Computed Tomography Angiography Reproducibility of Results Infant Deep Learning Electrocardiography Age Factors Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans

View on PubMed DOI

Deep Learning Image Reconstruction for Transcatheter Aortic Valve Implantation Planning: Image Quality, Diagnostic Performance, Contrast volume and Radiation Dose Assessment.

Academic radiology Mar 11, 2024

RATIONALE AND OBJECTIVES: To assess image quality, contrast volume and radiation dose reduction potential and diagnostic performance with the use of high-strength deep learning image reconstruction (DLIR-H) in transcatheter aortic valve implantation ...

Humans Prospective Studies Male Deep Learning Contrast Media Aortic Valve Stenosis Coronary Angiography Tomography, X-Ray Computed Female Aged Aged, 80 and over Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Transcatheter Aortic Valve Replacement

View on PubMed DOI

A Hybrid Framework of Dual-Domain Signal Restoration and Multi-depth Feature Reinforcement for Low-Dose Lung CT Denoising.

Journal of imaging informatics in medicine Feb 29, 2024

Low-dose computer tomography (LDCT) has been widely used in medical diagnosis. Various denoising methods have been presented to remove noise in LDCT scans. However, existing methods cannot achieve satisfactory results due to the difficulties in (1) d...

Radiation Dosage Signal-To-Noise Ratio Algorithms Tomography, X-Ray Computed Lung Image Processing, Computer-Assisted Humans Neural Networks, Computer

View on PubMed DOI

Improving Image Quality and Nodule Characterization in Ultra-low-dose Lung CT with Deep Learning Image Reconstruction.

Academic radiology Feb 29, 2024

RATIONALE AND OBJECTIVE: To investigate the influence of the deep learning image reconstruction (DLIR) on the image quality and quantitative analysis of pulmonary nodules under ultra-low dose lung CT conditions.

Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Aged Humans Adult Prospective Studies Male Tomography, X-Ray Computed Middle Aged Female

View on PubMed DOI

A CT deep learning reconstruction algorithm: Image quality evaluation for brain protocol at decreasing dose indexes in comparison with FBP and statistical iterative reconstruction algorithms.

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) Feb 28, 2024

PURPOSE: To characterise the impact of Precise Image (PI) deep learning reconstruction algorithm on image quality, compared to filtered back-projection (FBP) and iDose iterative reconstruction for brain computed tomography (CT) phantom images.

Algorithms Phantoms, Imaging Brain Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage

View on PubMed DOI

Ultra-low dose chest CT with silver filter and deep learning reconstruction significantly reduces radiation dose and retains quantitative information in the investigation and monitoring of lymphangioleiomyomatosis (LAM).

European radiology Feb 22, 2024

PURPOSE: Frequent CT scans to quantify lung involvement in cystic lung disease increases radiation exposure. Beam shaping energy filters can optimize imaging properties at lower radiation dosages. The aim of this study is to investigate whether use o...

Radiation Dosage Radiography, Thoracic Lymphangioleiomyomatosis Deep Learning Lung Neoplasms Silver Radiographic Image Interpretation, Computer-Assisted Humans Female Adult Male Middle Aged Algorithms Prospective Studies Tomography, X-Ray Computed

View on PubMed DOI

AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Influence of Deep Learning Based Image Reconstruction on Quantitative Results of Coronary Artery Calcium Scoring.

Exploring the Low-Dose Limit for Focal Hepatic Lesion Detection with a Deep Learning-Based CT Reconstruction Algorithm: A Simulation Study on Patient Images.

Improved overall image quality in low-dose dual-energy computed tomography enterography using deep-learning image reconstruction.

Detection of urinary tract stones on submillisievert abdominopelvic CT imaging with deep-learning image reconstruction algorithm (DLIR).

Gated cardiac CT in infants: What can we expect from deep learning image reconstruction algorithm?

Deep Learning Image Reconstruction for Transcatheter Aortic Valve Implantation Planning: Image Quality, Diagnostic Performance, Contrast volume and Radiation Dose Assessment.

A Hybrid Framework of Dual-Domain Signal Restoration and Multi-depth Feature Reinforcement for Low-Dose Lung CT Denoising.

Improving Image Quality and Nodule Characterization in Ultra-low-dose Lung CT with Deep Learning Image Reconstruction.

A CT deep learning reconstruction algorithm: Image quality evaluation for brain protocol at decreasing dose indexes in comparison with FBP and statistical iterative reconstruction algorithms.

Ultra-low dose chest CT with silver filter and deep learning reconstruction significantly reduces radiation dose and retains quantitative information in the investigation and monitoring of lymphangioleiomyomatosis (LAM).

Popular Topics

Recent Journals