A Knowledge-based Iterative Model Reconstruction Algorithm: Can Super-low-dose Cardiac CT Be Applicable in Clinical Settings?

Overview

Journal Acad Radiol

Specialty Radiology

Date 2013 Dec 17

PMID 24331272

Citations 23

Authors

Seitaro Oda

Daisuke Utsunomiya

Yoshinori Funama

Kazuhiro Katahira

Keiichi Honda

Shinichi Tokuyasu

Mani Vembar

Hideaki Yuki

Katsuo Noda

Shuichi Oshima

Yasuyuki Yamashita

Affiliations

Soon will be listed here.

Abstract

Rationale And Objectives: To investigate whether "full" iterative reconstruction, a knowledge-based iterative model reconstruction (IMR), enables radiation dose reduction by 80% at cardiac computed tomography (CT).

Materials And Methods: A total of 23 patients (15 men, eight women; mean age 64.3 ± 13.4 years) who underwent retrospectively electrocardiography-gated cardiac CT with dose modulation were evaluated. We compared full-dose (FD; 730 mAs) images reconstructed with filtered back projection (FBP) technique and the low-dose (LD; 146 mAs) images reconstructed with FBP and IMR techniques. Objective and subjective image quality parameters were compared among the three different CT images.

Results: There was no significant difference in the CT attenuation among the three reconstructions. The mean image noise of LD-IMR (18.3 ± 10.6 Hounsfield units [HU]) was significantly lowest among the three reconstructions (41.9 ± 15.3 HU for FD-FBP and 109.9 ± 42.6 HU for LD-FBP; P < .01). The contrast-to-noise ratio of LD-IMR was better than that of FD-FBP and LD-FBP (P < .01). Visual evaluation score was also highest for LD-IMR.

Conclusions: The IMR can provide improved image quality at super-low-dose cardiac CT with 20% of the standard tube current.

Citing Articles

Feasibility of four-dimensional similarity filter for radiation dose reduction in dynamic myocardial computed tomography perfusion imaging.

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The Feasibility of Contrast-to-Noise Ratio on Measurements to Evaluate CT Image Quality in Terms of Low-Contrast Detailed Detectability.

Alsleem H, Almohiy H Med Sci (Basel). 2020; 8(3).

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Comparison of computational to human observer detection for evaluation of CT low dose iterative reconstruction.

Eck B, Fahmi R, Brown K, Raihani N, Wilson D Proc SPIE Int Soc Opt Eng. 2020; 9037.

PMID: 32362709 PMC: 7194204. DOI: 10.1117/12.2043335.

Feasibility study of using one-tenth mSv radiation dose in young children chest CT with 80 kVp and model-based iterative reconstruction.

Sun J, Zhang Q, Hu D, Shen Y, Yang H, Chen C Sci Rep. 2019; 9(1):12481.

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Coronary CT Angiography with Knowledge-Based Iterative Model Reconstruction for Assessing Coronary Arteries and Non-Calcified Predominant Plaques.

Li T, Tang T, Yang L, Zhang X, Li X, Luo C Korean J Radiol. 2019; 20(5):729-738.

PMID: 30993924 PMC: 6470089. DOI: 10.3348/kjr.2018.0435.