Optimizing cardiac CT angiography minimum detectable difference via Taguchi’s dynamic algorithm, a V-shaped line gauge, and three PMMA phantoms

Author:

Pan Lung-Fa12,Chen Yi-Hua1,Wang Chun-Chieh13,Peng Bing-Ru14,Kittipayak Samrit5,Pan Lung-Kwang1

Affiliation:

1. Department of Medical Imaging and Radiological Science, Central Taiwan University of Science and Technology, Takun, Taichung, Taiwan

2. Department of Cardiology, Taichung Armed Forces General Hospital, Taichung, Taiwan

3. Puli Branch, Taichung Veterans General Hospital, Nantou, Taiwan

4. Department of Radiology, Taichung Armed Forces General Hospital, Taichung, Taiwan

5. Department of Radiological Technology, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand

Abstract

BACKGROUND: Radiologists widely use the minimum detectable difference (MDD) concept for inspecting the imaging quality and quantify the spatial resolution of scans. OBJECTIVE: This study adopted Taguchi’s dynamic algorithm to optimize the MDD of cardiac CT angiography (CTA) using a V-shaped line gauge and three PMMA phantoms (50, 70, and 90 kg). METHODS: The phantoms were customized in compliance with the ICRU-48 report, whereas the V-shaped line gauge was indigenous to solidify the cardiac CTA scan image quality by two adjacent peaks along the V-shaped slit. Accordingly, the six factors A-F assigned in this study were A (kVp), B (mAs), C (CT pitch), D (FOV), E (iDose), and F (reconstruction filter). Since each factor could have two or three levels, eighteen groups of factor combinations were organized according to Taguchi’s dynamic algorithm. Three welltrained radiologists ranked the CTA scan images three times for three different phantoms. Thus, 27 (3 × 3 × 3) ranked scores were summed and averaged to imply the integrated performance of one specific group, and eventually, 18 groups of CTA scan images were analyzed. The unique signal-to-noise ratio (S/N, dB) and sensitivity in the dynamic algorithm were calculated to reveal the true contribution of assigned factors and clarify the situation in routine CTA diagnosis. RESULTS: Minimizing the cross-interactions among factors, the optimal factor combination was found to be as follows: A (100 kVp), B (600 mAs), C (pitch 0.200 mm), D (FOV 280 mm), E (iDose 5), and F (filter XCA). The respective MDD values were 2.15, 2.32, and 1.87 mm for 50, 70, and 90 kg phantoms, respectively. The MDD of the 90 kg phantom had the most precise spatial resolution, while that of the 70 kg phantom was the worst. CONCLUSION: The Taguchi static and dynamic optimization algorithms were compared, and the latter’s superiority was substantiated.

Publisher

IOS Press

Subject

Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics

Reference17 articles.

1. Optimization of the imaging quality of 64-slice CT acquisition protocol using Taguchi analysis: A phantom study;Pan;Bio-Medical Materials and Engineering,2015

2. The optimization of the single photon emission computed tomography image quality via taguchi analysis: A feasibility study of a V-shaped phantom;Kittipayak;J. Medical Imaging and Health Informatics,2017

3. Taguchi method-based optimization of the minimum detectable difference of a cardiac X-ray imaging system using a precise line pair gauge;Pan;JMMB,2019

4. Optimizing the minimum detectable difference of computed tomography scanned images via the Taguchi analysis: A feasibility study with an indigenous hepatic phantom and a line group gauge;Peng;JMMB,2019

5. Integration of Taguchi analysis with phantom and innovative gauges: Optimization of the CT scan protocol for peripheral arterial occlusive disease (PAOD) syndrome;Lee;JMMB,2020

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