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      Enhanced acrylic gauge with five eccentric circles for optimizing CT angiography spatial resolution via Taguchi’s methodology

      research-article
      a , b , c , a , d , a , e , a , a , *
      Technology and Health Care
      IOS Press
      Eccentric circles gauge, spatial resolution, Taguchi optimization, MDD

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          Abstract

          BACKGROUND:

          Cerebral examination via CTA is always the first choice for patients with unexpected brain injury or different types of brain lesions to detect ruptured hemangiomas, vascular infarcts, or other brain tissue lesions.

          OBJECTIVE:

          This study innovated the acrylic gauge with five eccentric circles for computed tomography angiography (CTA) analysis to optimize the spatial resolution via Taguchi’s methodology.

          METHODS:

          The customized gauge was revised from the V-shaped slit gauge and transferred into five eccentric circles’ slit gauge. The gauge was assembled with another six acrylic layers to simulate the human head. Taguchi’s L18 orthogonal array was adopted to optimize the spatial resolution of CTA imaging quality. In doing so, six essential factors of CTA are kVp, mAs, spiral rotation pitch, FOV, rotation time of the CT and reconstruction filter, and each factor has either two or three levels to organize into eighteen combinations to simulate the full factor combination of 486 (21 × 35 = 486) times according to Taguchi’s recommendation. Three well-trained radiologists ranked the gauge’s 18 CTA scanned imaging qualities according to contrast, sharpness, and spatial resolution and derived the unique fish-bone-plot of six factors for further analysis. The optimal factor combination of CTA was proven by follow-up verification and ANOVA to obtain this study’s dominant or minor factor.

          RESULTS:

          The optimal factor combination of CTA was A2 (120 kVp), B3 (200 mAs), C1 (Pitch 0.6), D2 (FOV 220 mm2), E1 (rotation time 0.33 s), and F3 (Brain sharp, UC). Furthermore, deriving a quantified MDD (minimum detectable difference) to imply the spatial resolution of CTA, a semiauto profile analysis program run in MATLAB and OriginPro was recommended to evaluate the MDD and to suppress the manual error in calculation. Eventually, the derived MDDs of the conventional and optimal factor combinations of CTA were 2.35 and 2.26 mm, respectively, in this study.

          CONCLUSION:

          Taguchi’s methodology was found applicable for quantifying the CTA imaging quality in practical applications.

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          Most cited references22

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          The statistical analysis of data from small groups.

          The authors elaborate the complications and the opportunities inherent in the statistical analysis of small-group data. They begin by discussing nonindependence of group members' scores and then consider standard methods for the analysis of small-group data and determine that these methods do not take into account this nonindependence. A new method is proposed that uses multilevel modeling and allows for negative nonindependence and mutual influence. Finally, the complications of interactions, different group sizes, and differential effects are considered. The authors strongly urge that the analysis model of data from small-group studies should mirror the psychological processes that generate those data.
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            • Abstract: not found
            • Article: not found
            Is Open Access

            ExpDes: An R Package for ANOVA and Experimental Designs

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              • Abstract: found
              • Article: not found

              150 Micron Spatial Resolution using Photon Counting Detector CT Technology: Technical Performance and First Patient Images

              Objective To quantitatively assess two new scan modes on a photon-counting detector (PCD) CT system, each designed to maximize spatial resolution, and to qualitatively demonstrate potential clinical impact using patient data. Materials and Methods This HIPAA-compliant study was approved by our institutional review board. Two high-spatial-resolution scan modes ( Sharp and UHR ) were evaluated using phantoms to quantify spatial resolution and image noise, and results were compared to the standard mode ( Macro ). Patients were scanned using a conventional energy-integrating-detector (EID) scanner and the PCD scanner using the same radiation dose. In first patient images, anatomic details were qualitatively evaluated to demonstrate potential clinical impact. Results Sharp and UHR modes had a 69% and 87% improvement in in-plane spatial resolution, respectively, compared to Macro mode (10% MTF values of 16.05, 17.69, and 9.48 lp/cm, respectively). The cut-off spatial frequency of the UHR mode (32.4 lp/cm) corresponded to a limiting spatial resolution of 150 microns. The full-width-at-half-maximum values of the section sensitivity profiles were 0.41, 0.44 and 0.67 mm for the thinnest image thickness for each mode (0.25, 0.25 and 0.5 mm, respectively). At the same in-plane spatial resolution, Sharp and UHR images had up to 25% lower noise than Macro images. Patient images acquired in Sharp mode demonstrated better delineation of fine anatomic structures compared to Macro mode images. Conclusions Phantom studies demonstrated superior resolution and noise properties for the Sharp and UHR modes relative to the standard Macro mode and patient images demonstrated the potential benefit of these scan modes for clinical practice.
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                Author and article information

                Journal
                Technol Health Care
                Technol Health Care
                THC
                Technology and Health Care
                IOS Press (Nieuwe Hemweg 6B, 1013 BG Amsterdam, The Netherlands )
                0928-7329
                1878-7401
                18 April 2024
                31 May 2024
                2024
                : 32
                : Suppl 1
                : 65-78
                Affiliations
                [a ]Department of Medical Imaging and Radiological Science, Central Taiwan University of Science and Technology , Taichung, Taiwan
                [b ]Department of Gastroenterology and Hepatology, Department of Internal Medicine, Taichung Armed Forces General Hospital, Taichung, Taiwan
                [c ]Division of Gastroenterology and Hepatology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
                [d ]Department of Clinical Pharmacy Taichung Armed Forces General Hospital, Taichung, Taiwan
                [e ]Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan
                Author notes
                [* ]Corresponding author: Bing-Ru Peng, Department of Medical Imaging and Radiological Science, Central Taiwan University of Science and Technology, Takun, Taichung 406, Taiwan. E-mail: 108653@ 123456ctust.edu.tw .
                Article
                THC248006
                10.3233/THC-248006
                11191523
                38669496
                d69faf5c-404a-4987-b82b-def75e1cc78c
                © 2024 – The authors. Published by IOS Press.

                This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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                eccentric circles gauge,spatial resolution,taguchi optimization,mdd

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