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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Vydáno v:Medicine (Baltimore) Ročník 96; číslo 51; s. e9412
Hlavní autoři: Liu, Xiaoyi, Chen, Lei, Qi, Weiwei, Jiang, Yan, Liu, Ying, Zhang, Miao, Hong, Nan
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States The Authors. Published by Wolters Kluwer Health, Inc. All rights reserved 01.12.2017
Wolters Kluwer Health
Témata:
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
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Popis
Shrnutí: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 comparison of routine slice images with FBP reconstruction. Sixty-one patients underwent noncontrast brain CT and images were reconstructed with a routine slice of 5.0 mm by FBP and thin slice of 1.0 mm by IMR, HIR, and FBP algorithms, respectively. Objective analyses included CT attenuation, noise, artifacts index of posterior cranial fossa, and contrast-to-noise ratio (CNR). Subjective analyses were performed according to overall image quality using a 5-point scale [1 (unacceptable) to 5 (excellent)]. In addition, lacunar lesion detection was compared in images with different reconstruction settings among 26 patients with lacunar lesions, with magnetic resonance imaging (MRI) as reference.Thin-slice IMR images enabled the lowest noise, artifacts index, and the best CNR. Both IMR and HIR thin-slice images enabled better scores in subjective image quality than routine slice FBP images. Moreover, both thin-slice IMR and HIR images enabled higher sensitivity and positive predictive value (PPV) in lesion detection of 35-mm lacunar lesions compared with routine slice FBP images.Thin-slice IMR images improve image quality, meanwhile yield better detection of small lacunar lesions in brain CT compared with routine slice FBP images.
Bibliografie:ObjectType-Article-1
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ISSN:0025-7974
1536-5964
1536-5964
DOI:10.1097/MD.0000000000009412