AIMC Topic: Radiation Dosage

Clear Filters Showing 361 to 370 of 547 articles

Preserving image texture while reducing radiation dose with a deep learning image reconstruction algorithm in chest CT: A phantom study.

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) Jan 11, 2021
PURPOSE: To assess whether a deep learning image reconstruction algorithm (TrueFidelity) can preserve the image texture of conventional filtered back projection (FBP) at reduced dose levels attained by ASIR-V in chest CT.
Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Algorithms Tomography, X-Ray Computed Deep Learning
View on PubMed DOI

Effect of CT reconstruction settings on the performance of a deep learning based lung nodule CAD system.

European journal of radiology Jan 8, 2021
PURPOSE: To study the effect of different reconstruction parameter settings on the performance of a commercially available deep learning based pulmonary nodule CAD system.
Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Deep Learning Lung Neoplasms Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Sensitivity and Specificity Lung
View on PubMed DOI

Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques.

European radiology Jan 7, 2021
OBJECTIVE: To compare the image quality between the vendor-agnostic and vendor-specific algorithms on ultralow-dose chest CT.
Radiation Dosage Thorax Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Algorithms
View on PubMed DOI

Deep learning trained algorithm maintains the quality of half-dose contrast-enhanced liver computed tomography images: Comparison with hybrid iterative reconstruction: Study for the application of deep learning noise reduction technology in low dose.

European journal of radiology Jan 5, 2021
PURPOSE: This study compares the image and diagnostic qualities of a DEep Learning Trained Algorithm (DELTA) for half-dose contrast-enhanced liver computed tomography (CT) with those of a commercial hybrid iterative reconstruction (HIR) method used f...
Deep Learning Liver Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Technology Humans Tomography, X-Ray Computed Algorithms Adult
View on PubMed DOI

Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT.

European radiology Jan 3, 2021
OBJECTIVES: We evaluated lower dose (LD) hepatic dynamic ultra-high-resolution computed tomography (U-HRCT) images reconstructed with deep learning reconstruction (DLR), hybrid iterative reconstruction (hybrid-IR), or model-based IR (MBIR) in compari...
Humans Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Drug Tapering Algorithms Tomography, X-Ray Computed Deep Learning
View on PubMed DOI

Data-driven dose calculation algorithm based on deep U-Net.

Physics in medicine and biology Dec 22, 2020
Accurate and efficient dose calculation is an important prerequisite to ensure the success of radiation therapy. However, all the dose calculation algorithms commonly used in current clinical practice have to compromise between calculation accuracy a...
Humans Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Dosage Reproducibility of Results Neoplasms Deep Learning
View on PubMed DOI

Low-dose CT image and projection dataset.

Medical physics Dec 16, 2020
PURPOSE: To describe a large, publicly available dataset comprising computed tomography (CT) projection data from patient exams, both at routine clinical doses and simulated lower doses.
Tomography, X-Ray Computed Image Processing, Computer-Assisted Radiation Dosage Thorax Tomography Scanners, X-Ray Computed Humans Artificial Intelligence Algorithms
View on PubMed DOI

Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy.

Physics in medicine and biology Dec 12, 2020
To study radiotherapy-related adverse effects, detailed dose information (3D distribution) is needed for accurate dose-effect modeling. For childhood cancer survivors who underwent radiotherapy in the pre-CT era, only 2D radiographs were acquired, th...
Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Dosage Neoplasms Child Humans Machine Learning Tomography, X-Ray Computed Female Male
View on PubMed DOI

A study of using a deep learning image reconstruction to improve the image quality of extremely low-dose contrast-enhanced abdominal CT for patients with hepatic lesions.

The British journal of radiology Dec 11, 2020
OBJECTIVE: To investigate the feasibility of using deep learning image reconstruction (DLIR) to significantly reduce radiation dose and improve image quality in contrast-enhanced abdominal CT.
Aged, 80 and over Radiation Dosage Adult Radiographic Image Enhancement Male Humans Reproducibility of Results Contrast Media Middle Aged Prospective Studies Aged Liver Deep Learning Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Liver Neoplasms Female
View on PubMed DOI

Deep Learning CT Image Reconstruction in Clinical Practice.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Dec 10, 2020
BACKGROUND:  Computed tomography (CT) is a central modality in modern radiology contributing to diagnostic medicine in almost every medical subspecialty, but particularly in emergency services. To solve the inverse problem of reconstructing anatomica...
Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Humans Radiation Dosage Reproducibility of Results Algorithms Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals