Effects of Iterative Reconstruction Algorithms on Computer-assisted Detection (CAD) Software for Lung Nodules in Ultra-low-dose CT for Lung Cancer Screening

This study aimed to evaluate the effects of iterative reconstruction (IR) algorithms on computer-assisted detection (CAD) software for lung nodules in ultra-low-dose computed tomography (ULD-CT) for lung cancer screening. We selected 85 subjects who underwent both a low-dose CT (LD-CT) scan and an a...

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Bibliographic Details
Published in:	Academic radiology Vol. 24; no. 2; pp. 124 - 130
Main Authors:	Nomura, Yukihiro, Higaki, Toru, Fujita, Masayo, Miki, Soichiro, Awaya, Yoshikazu, Nakanishi, Toshio, Yoshikawa, Takeharu, Hayashi, Naoto, Awai, Kazuo
Format:	Journal Article
Language:	English
Published:	United States 01.02.2017
Subjects:	Aged Algorithms Cone-Beam Computed Tomography Early Detection of Cancer - methods Female Humans Lung Neoplasms - diagnostic imaging Male Middle Aged Multiple Pulmonary Nodules - diagnostic imaging Radiation Dosage Radiographic Image Interpretation, Computer-Assisted - methods Radionuclide Imaging Software Tomography, X-Ray Computed - methods Computer-assisted detection (CAD) iterative reconstruction ultra-low-dose CT lung nodule
ISSN:	1878-4046
Online Access:	Get more information
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