Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations
Sign Up to like & getrecommendations! Published in 2021 at "European Radiology"
DOI: 10.1007/s00330-021-07952-4
Abstract: To investigate the image quality and perception of a sinogram-based deep learning image reconstruction (DLIR) algorithm for single-energy abdominal CT compared to standard-of-care strength of ASIR-V. In this retrospective study, 50 patients (62% F; 56.74… read more here.
Keywords: image; image quality; learning image; deep learning ... See more keywords
Deep learning image reconstruction for improvement of image quality of abdominal computed tomography: comparison with hybrid iterative reconstruction
Sign Up to like & getrecommendations! Published in 2021 at "Japanese Journal of Radiology"
DOI: 10.1007/s11604-021-01089-6
Abstract: Purpose To evaluate the usefulness of the deep learning image reconstruction (DLIR) to enhance the image quality of abdominal CT, compared to iterative reconstruction technique. Method Pre and post-contrast abdominal CT images in 50 patients… read more here.
Keywords: reconstruction; image; image quality; contrast ... See more keywords
Radiation dose reduction using deep learning-based image reconstruction for a low-dose chest computed tomography protocol: a phantom study
Sign Up to like & getrecommendations! Published in 2023 at "Quantitative Imaging in Medicine and Surgery"
DOI: 10.21037/qims-22-618
Abstract: Background The aim of this study was to compare the dose reduction potential and image quality of deep learning-based image reconstruction (DLIR) with those of filtered back-projection (FBP) and iterative reconstruction (IR) and to determine… read more here.
Keywords: computed tomography; dlir; reconstruction; reduction ... See more keywords
Impact of deep learning-based image reconstruction on image quality and lesion visibility in renal computed tomography at different doses
Sign Up to like & getrecommendations! Published in 2023 at "Quantitative Imaging in Medicine and Surgery"
DOI: 10.21037/qims-22-852
Abstract: Background Numerous computed tomography (CT) image reconstruction algorithms have been developed to improve image quality, and high-quality renal CT images are crucial to clinical diagnosis. This study evaluated the image quality and lesion visibility of… read more here.
Keywords: image quality; dlir; lesion; reconstruction ... See more keywords
Emphysema Quantification Using Ultra-Low-Dose Chest CT: Efficacy of Deep Learning-Based Image Reconstruction
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DOI: 10.3390/medicina58070939
Abstract: Background and Objectives: Although reducing the radiation dose level is important during diagnostic computed tomography (CT) applications, effective image quality enhancement strategies are crucial to compensate for the degradation that is caused by a dose… read more here.
Keywords: standard dose; ultra low; dose; dlir ... See more keywords