Cargando…

Ultra-low-dose chest computed tomography for interstitial lung disease using model-based iterative reconstruction with or without the lung setting

The aim of this study was to assess the effects of reconstruction on the image quality and quantitative analysis for interstitial lung disease (ILD) using filtered back projection (FBP) and model-based iterative reconstruction (MBIR) with the lung setting and the conventional setting on ultra-low-do...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hata, Akinori, Yanagawa, Masahiro, Honda, Osamu, Miyata, Tomo, Tomiyama, Noriyuki
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Wolters Kluwer Health 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708979/ https://www.ncbi.nlm.nih.gov/pubmed/31145365 http://dx.doi.org/10.1097/MD.0000000000015936

Ejemplares similares

Subjective and objective comparisons of image quality between ultra-high-resolution CT and conventional area detector CT in phantoms and cadaveric human lungs
por: Yanagawa, Masahiro, et al.
Publicado: (2018)

Detectability of pulmonary ossifications in fibrotic lung on ultra-high-resolution CT using 2048 matrix size and 0.25-mm slice thickness
por: Hata, Akinori, et al.
Publicado: (2021)

Influence of field of view size on image quality: ultra-high-resolution CT vs. conventional high-resolution CT
por: Miyata, Tomo, et al.
Publicado: (2020)

The effect of the reconstruction algorithm for the pulmonary nodule detection under the metal artifact caused by a pacemaker
por: Kikuchi, Noriko, et al.
Publicado: (2020)

The evaluation of the reduction of radiation dose via deep learning-based reconstruction for cadaveric human lung CT images
por: Miyata, Tomo, et al.
Publicado: (2022)

Radiological prediction of tumor invasiveness of lung adenocarcinoma on thin-section CT
por: Yanagawa, Masahiro, et al.
Publicado: (2017)

Iterative reconstruction for quantitative computed tomography analysis of emphysema: consistent results using different tube currents
por: Yamashiro, Tsuneo, et al.
Publicado: (2015)

Application of deep learning (3-dimensional convolutional neural network) for the prediction of pathological invasiveness in lung adenocarcinoma: A preliminary study
por: Yanagawa, Masahiro, et al.
Publicado: (2019)

Interstitial lung abnormalities in patients with stage I non-small cell lung cancer are associated with shorter overall survival: the Boston lung cancer study
por: Hida, Tomoyuki, et al.
Publicado: (2021)

The Impact of Iterative Reconstruction in Low-Dose Computed Tomography on the Evaluation of Diffuse Interstitial Lung Disease
por: Lim, Hyun-ju, et al.
Publicado: (2016)

Ultra-High-Resolution Computed Tomography of the Lung: Image Quality of a Prototype Scanner
por: Kakinuma, Ryutaro, et al.
Publicado: (2015)

Quantitative volumetry of ground-glass nodules on high-spatial-resolution CT with 0.25-mm section thickness and 1024 matrix: Phantom and clinical studies
por: Yoshida, Yuriko, et al.
Publicado: (2021)

Correction: Ultra-High-Resolution Computed Tomography of the Lung: Image Quality of a Prototype Scanner
por: Kakinuma, Ryutaro, et al.
Publicado: (2015)

CT-based radiomics analysis for differentiation between thymoma and thymic carcinoma
por: Ohira, Ryosuke, et al.
Publicado: (2022)

Progression of traction bronchiectasis/bronchiolectasis in interstitial lung abnormalities is associated with increased all-cause mortality: Age Gene/Environment Susceptibility-Reykjavik Study
por: Hino, Takuya, et al.
Publicado: (2021)

Dynamic Chest X-Ray Using a Flat-Panel Detector System: Technique and Applications
por: Hata, Akinori, et al.
Publicado: (2021)

CT of the chest with model-based, fully iterative reconstruction: comparison with adaptive statistical iterative reconstruction
por: Ichikawa, Yasutaka, et al.
Publicado: (2013)

Quantum Iterative Reconstruction for Low-Dose Ultra-High-Resolution Photon-Counting Detector CT of the Lung
por: Sartoretti, Thomas, et al.
Publicado: (2022)

Adaptive Iterative Dose Reduction Using Three Dimensional Processing (AIDR3D) Improves Chest CT Image Quality and Reduces Radiation Exposure
por: Yamashiro, Tsuneo, et al.
Publicado: (2014)

Automatic Quantification of Interstitial Lung Disease From Chest Computed Tomography in Systemic Sclerosis
por: Carvalho, Alysson Roncally S., et al.
Publicado: (2020)

Chest Computed Tomography Images in Neonatal Bronchial Pneumonia under the Adaptive Statistical Iterative Reconstruction Algorithm
por: Sun, Ying, et al.
Publicado: (2021)

Improved visualization of the chorda tympani nerve using ultra‐high-resolution computed tomography
por: Fujiwara, Masahiro, et al.
Publicado: (2021)

Effect of Hybrid Kernel and Iterative Reconstruction on Objective and Subjective Analysis of Lung Nodule Calcification in Low-Dose Chest CT
por: Hong, Seul Gi, et al.
Publicado: (2018)

Ultra Low Dose CT Pulmonary Angiography with Iterative Reconstruction
por: Sauter, Andreas, et al.
Publicado: (2016)

Deep-learning algorithm to detect fibrosing interstitial lung disease on chest radiographs
por: Nishikiori, Hirotaka, et al.
Publicado: (2023)

Antisynthetase Syndrome-Associated Interstitial Lung Disease: Monitoring of Immunosuppressive Treatment Effects by Chest Computed Tomography
por: Korsten, Peter, et al.
Publicado: (2021)

Image quality evaluation for CARE kV technique combined with iterative reconstruction for chest computed tomography scanning
por: Yang, Bin, et al.
Publicado: (2017)

Usefulness of Three-Dimensional Iodine Mapping Quantified by Dual-Energy CT for Differentiating Thymic Epithelial Tumors
por: Doi, Shuhei, et al.
Publicado: (2023)

Image Quality in Children with Low-Radiation Chest CT Using Adaptive Statistical Iterative Reconstruction and Model-Based Iterative Reconstruction
por: Sun, Jihang, et al.
Publicado: (2014)

Spectrum of Pulmonary Fibrosis from Interstitial Lung Abnormality to Usual Interstitial Pneumonia: Importance of Identification and Quantification of Traction Bronchiectasis in Patient Management
por: Hino, Takuya, et al.
Publicado: (2021)

An Effective CUDA Parallelization of Projection in Iterative Tomography Reconstruction
por: Xie, Lizhe, et al.
Publicado: (2015)

Adaptive Statistical Iterative Reconstruction-Applied Ultra-Low-Dose CT with Radiography-Comparable Radiation Dose: Usefulness for Lung Nodule Detection
por: Yoon, Hyun Jung, et al.
Publicado: (2015)

The impact of deep learning reconstruction in low dose computed tomography on the evaluation of interstitial lung disease
por: Kim, Chu hyun, et al.
Publicado: (2023)

Dual-source computed tomography of the lung with spectral shaping and advanced iterative reconstruction: potential for maximum radiation dose reduction
por: Wetzl, Matthias, et al.
Publicado: (2020)

Simple method for detecting idiopathic interstitial pneumonias by measuring vertical lung length on chest X-ray
por: Karayama, Masato, et al.
Publicado: (2021)

Influence of Lung Reconstruction Algorithms on Interstitial Lung Pattern Recognition on CT
por: Klaus, Jeremias B., et al.
Publicado: (2022)

Chest computed tomography to evaluate lymphocytic interstitial pneumonia
por: Barreto, Miriam Menna, et al.
Publicado: (2020)

Early Detection of the Acute Exacerbation of Interstitial Pneumonia after the Surgical Resection of Lung Cancer by Planned Chest Computed Tomography
por: Oyama, Kunihiro, et al.
Publicado: (2017)

Computed Tomography of the Chest to Screen for Interstitial Lung Disease in Patients With Systemic Sclerosis at Expert Scleroderma Centers in the United States
por: Bernstein, Elana J., et al.
Publicado: (2022)

Importance of chest HRCT in the diagnostic evaluation of fibrosing interstitial lung diseases
por: Torres, Pedro Paulo Teixeira e Silva, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_51lsai4r2eko5uncq5a6mh86re