Thin-slice brain CT with iterative model reconstruction algorithm for small lacunar lesions detection: Image quality and diagnostic accuracy evaluation

This study was aimed to evaluate the image quality and lacunar lesion detection of thin-slice brain computed tomography (CT) images with different reconstruction algorithms, including filtered back projection (FBP), hybrid iterative reconstruction (HIR), and iterative model reconstruction (IMR) by c...

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Bibliographic Details

Published in:	Medicine (Baltimore) Vol. 96; no. 51; p. e9412
Main Authors:	Liu, Xiaoyi, Chen, Lei, Qi, Weiwei, Jiang, Yan, Liu, Ying, Zhang, Miao, Hong, Nan
Format:	Journal Article
Language:	English
Published:	United States The Authors. Published by Wolters Kluwer Health, Inc. All rights reserved 01.12.2017 Wolters Kluwer Health
Subjects:	Algorithms Brain - diagnostic imaging Brain - pathology Female Humans Magnetic Resonance Imaging Male Middle Aged Neuroimaging - methods Quality Improvement Study Radiation Dosage Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed - methods
ISSN:	0025-7974, 1536-5964, 1536-5964
Online Access:	Get full text
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