Model-Based Iterative Reconstruction Technique for Ultralow-Dose Computed Tomography of the Lung
Published 2012 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Model-Based Iterative Reconstruction Technique for Ultralow-Dose Computed Tomography of the Lung
Authors
Keywords
-
Journal
INVESTIGATIVE RADIOLOGY
Volume 47, Issue 8, Pages 482-489
Publisher
Ovid Technologies (Wolters Kluwer Health)
Online
2012-07-05
DOI
10.1097/rli.0b013e3182562a89
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Use of 3D Adaptive Raw-Data Filter in CT of the Lung: Effect on Radiation Dose Reduction
- (2013) Takeshi Kubo et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Coronary CT angiography: image quality, diagnostic accuracy, and potential for radiation dose reduction using a novel iterative image reconstruction technique—comparison with traditional filtered back projection
- (2011) Antonio Moscariello et al. EUROPEAN RADIOLOGY
- CT image quality improvement using adaptive iterative dose reduction with wide-volume acquisition on 320-detector CT
- (2011) Alban Gervaise et al. EUROPEAN RADIOLOGY
- Dose Reduction in Abdominal Computed Tomography
- (2011) Matthias S. May et al. INVESTIGATIVE RADIOLOGY
- Combination of a Low-Tube-Voltage Technique With Hybrid Iterative Reconstruction (iDose) Algorithm at Coronary Computed Tomographic Angiography
- (2011) Yoshinori Funama et al. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY
- Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
- (2011) NEW ENGLAND JOURNAL OF MEDICINE
- Adaptive Statistical Iterative Reconstruction Technique for Radiation Dose Reduction in Chest CT: A Pilot Study
- (2011) Sarabjeet Singh et al. RADIOLOGY
- UK Lung Screen (UKLS) nodule management protocol: modelling of a single screen randomised controlled trial of low-dose CT screening for lung cancer
- (2011) D. R. Baldwin et al. THORAX
- A Prospective Evaluation of Dose Reduction and Image Quality in Chest CT Using Adaptive Statistical Iterative Reconstruction
- (2010) Jonathon Leipsic et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Abdominal CT: Comparison of Low-Dose CT With Adaptive Statistical Iterative Reconstruction and Routine-Dose CT With Filtered Back Projection in 53 Patients
- (2010) Yoshiko Sagara et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Cancer Statistics, 2010
- (2010) A. Jemal et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Chest computed tomography using iterative reconstruction vs filtered back projection (Part 1): evaluation of image noise reduction in 32 patients
- (2010) François Pontana et al. EUROPEAN RADIOLOGY
- Chest computed tomography using iterative reconstruction vs filtered back projection (Part 2): image quality of low-dose CT examinations in 80 patients
- (2010) François Pontana et al. EUROPEAN RADIOLOGY
- Fast Model-Based X-Ray CT Reconstruction Using Spatially Nonhomogeneous ICD Optimization
- (2010) Zhou Yu et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Reducing Abdominal CT Radiation Dose With Adaptive Statistical Iterative Reconstruction Technique
- (2010) Priyanka Prakash et al. INVESTIGATIVE RADIOLOGY
- Radiation Dose Reduction With Chest Computed Tomography Using Adaptive Statistical Iterative Reconstruction Technique
- (2010) Priyanka Prakash et al. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY
- Diffuse Lung Disease: CT of the Chest with Adaptive Statistical Iterative Reconstruction Technique
- (2010) Priyanka Prakash et al. RADIOLOGY
- Abdominal CT: Comparison of Adaptive Statistical Iterative and Filtered Back Projection Reconstruction Techniques
- (2010) Sarabjeet Singh et al. RADIOLOGY
- The National Lung Screening Trial: Overview and Study Design
- (2010) RADIOLOGY
- Iterative Reconstruction Technique for Reducing Body Radiation Dose at CT: Feasibility Study
- (2009) Amy K. Hara et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- An outlook on x-ray CT research and development
- (2008) Ge Wang et al. MEDICAL PHYSICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search