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
Feedback Attention to Enhance Unsupervised Deep Learning Image Registration in 3D Echocardiography
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2025.3530501
Abstract: Cardiac motion estimation is important for assessing the contractile health of the heart, and performing this in 3D can provide advantages due to the complex 3D geometry and motions of the heart. Deep learning image… read more here.
Keywords: registration; attention; image registration; dlir ... See more keywords
Deep learning image reconstruction and adaptive statistical iterative reconstruction on coronary artery calcium scoring in high risk population for coronary heart disease
Sign Up to like & getrecommendations! Published in 2025 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-025-03049-w
Abstract: Deep learning image reconstruction (DLIR) technology effectively improves the image quality while maintaining spatial resolution. The impact of DLIR on the quantification of coronary artery calcium (CAC) is still unclear. The purpose of this study… read more here.
Keywords: deep learning; coronary artery; image; risk ... See more keywords
Assessment of deep learning image reconstruction (DLIR) on image quality in pediatric cardiac CT datasets type of manuscript: Original research
Sign Up to like & getrecommendations! Published in 2024 at "PLOS ONE"
DOI: 10.1371/journal.pone.0300090
Abstract: Bakground To evaluate the quantitative and qualitative image quality using deep learning image reconstruction (DLIR) of pediatric cardiac computed tomography (CT) compared with conventional image reconstruction methods. Methods Between January 2020 and December 2022, 109… read more here.
Keywords: pediatric cardiac; image; reconstruction; dlir ... 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
Effect of deep learning image reconstruction with high-definition standard scan mode on image quality of coronary stents and arteries
Sign Up to like & getrecommendations! Published in 2024 at "Quantitative Imaging in Medicine and Surgery"
DOI: 10.21037/qims-23-1064
Abstract: Background The high-definition standard (HD-standard) scan mode has been proven to display stents better than the standard (STND) scan mode but with more image noise. Deep learning image reconstruction (DLIR) is capable of reducing image… read more here.
Keywords: scan mode; image; mode; dlir ... See more keywords
Emphysema Quantification Using Ultra-Low-Dose Chest CT: Efficacy of Deep Learning-Based Image Reconstruction
Sign Up to like & getrecommendations! Published in 2022 at "Medicina"
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