Image Quality Evaluation in Dual-Energy CT of the Chest, Abdomen, and Pelvis in Obese Patients With Deep Learning Image Reconstruction-Reference-Cited by-同舟云学术

Image Quality Evaluation in Dual-Energy CT of the Chest, Abdomen, and Pelvis in Obese Patients With Deep Learning Image Reconstruction

Published:2022-04-27 Issue:4 Volume:46 Page:604-611
ISSN:1532-3145
Container-title:Journal of Computer Assisted Tomography
language:en
Short-container-title:J Comput Assist Tomogr

Author:

Fair Eric,Profio Mark,Kulkarni Naveen,Laviolette Peter S.,Barnes Bret,Bobholz Samuel,Levenhagen Maureen,Ausman Robin,Griffin Michael O.,Duvnjak Petar,Zorn Adam P.,Foley W. Dennis

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology, Nuclear Medicine and imaging

Reference21 articles.

1. Deep learning reconstruction at CT: phantom study of the image characteristics;Acad Radiol,2020

2. Image quality assessment of abdominal CT by use of new deep learning image reconstruction: initial experience;AJR Am J Roentgenol,2020

3. Making your AI smarter: continuous learning artificial intelligence for radiology;Radiology,2020

4. Image quality and lesion detection on deep learning reconstruction and iterative reconstruction of submillisievert chest and abdominal CT;AJR Am J Roentgenol,2020

5. Feasibility of thin-slice abdominal CT in overweight patients using a vendor neutral image-based denoising algorithm: assessment of image noise, contrast, and quality;PLoS One,2019

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