4.4 Article

Application of deep learning image reconstruction in low-dose chest CT scan

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Radiology, Nuclear Medicine & Medical Imaging

Computed Tomography Screening for Early Lung Cancer, COPD and Cardiovascular Disease in Shanghai: Rationale and Design of a Population-based Comparative Study

Yihui Du et al.

Summary: This study aims to compare the screening performance of volume-based and diameter-based management of CT-detected lung nodules, in order to improve early detection of chronic obstructive pulmonary disease (COPD) and cardiovascular disease (CVD) while reducing unnecessary referrals through quantitative assessment of CT imaging biomarkers.

ACADEMIC RADIOLOGY (2021)

Article Radiology, Nuclear Medicine & Medical Imaging

Validation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise

Joo Hee Kim et al.

Summary: This study evaluated image quality and noise of LDCT scan images reconstructed with DLIR and compared with those of images reconstructed with ASiR-V 30%. Results showed that DLIR significantly reduced image noise while maintaining superior image quality, outperforming ASiR-V 30%.

KOREAN JOURNAL OF RADIOLOGY (2021)

Review Radiology, Nuclear Medicine & Medical Imaging

Possibility of Deep Learning in Medical Imaging Focusing Improvement of Computed Tomography Image Quality

Yuko Nakamura et al.

JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY (2020)

Article Radiology, Nuclear Medicine & Medical Imaging

Deep Learning Reconstruction at CT: Phantom Study of the Image Characteristics

Toru Higaki et al.

ACADEMIC RADIOLOGY (2020)

Article Radiology, Nuclear Medicine & Medical Imaging

Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT

Ramandeep Singh et al.

AMERICAN JOURNAL OF ROENTGENOLOGY (2020)

Article Radiology, Nuclear Medicine & Medical Imaging

Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study

Joel Greffier et al.

EUROPEAN RADIOLOGY (2020)

Article Radiology, Nuclear Medicine & Medical Imaging

Image Quality Assessment of Abdominal CT by Use of New Deep Learning Image Reconstruction: Initial Experience

Corey T. Jensen et al.

AMERICAN JOURNAL OF ROENTGENOLOGY (2020)

Article Cardiac & Cardiovascular Systems

Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy

Dominik C. Benz et al.

JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY (2020)

Article Radiology, Nuclear Medicine & Medical Imaging

Detection of Colorectal Hepatic Metastases Is Superior at Standard Radiation Dose CT versus Reduced Dose CT

Corey T. Jensen et al.

RADIOLOGY (2019)

Article Biochemistry & Molecular Biology

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

Diego Ardila et al.

NATURE MEDICINE (2019)

Review Radiology, Nuclear Medicine & Medical Imaging

Improvement of image quality at CT and MRI using deep learning

Toru Higaki et al.

JAPANESE JOURNAL OF RADIOLOGY (2019)

Review Radiology, Nuclear Medicine & Medical Imaging

Deep Learning Applications in Chest Radiography and Computed Tomography Current State of the Art

Sang Min Lee et al.

JOURNAL OF THORACIC IMAGING (2019)

Article Cardiac & Cardiovascular Systems

Head-to-head comparison of adaptive statistical and model-based iterative reconstruction algorithms for submillisievert coronary CT angiography

Dominik C. Benz et al.

EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING (2018)

Article Multidisciplinary Sciences

Towards automatic pulmonary nodule management in lung cancer screening with deep learning

Francesco Ciompi et al.

SCIENTIFIC REPORTS (2017)