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Work Presented at IMETI2022 - 11th International Multi-Conference on Engineering and Technology Innovation
Volume: 67 | Article ID: 040402
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Optimization of 3D Holographic Projection for a Medical Image System using Taguchi Method and Fuzzy Inference System
  DOI :  10.2352/J.ImagingSci.Technol.2023.67.4.040402  Published OnlineJuly 2023
Abstract
Abstract

Two dimensional projections of three dimensional (3D) objects are used to teach anatomy. These projections are relatively unrealistic, and medical students cannot easily and accurately grasp the position and shape of each anatomical structure. As a remedy, 3D holographic projections allow for 3D anatomical structures to be projected in space without the use of worn contraptions. This study designed a method for optimizing 3D holographic projections with respect to the quality characteristics of 3D imaging definition and stereoscopic quality. The Taguchi method was used to determine the factors that most greatly influenced these quality characteristics, and the Delphi method and fuzzy theory were used to quantify image quality. Among three main factors of material of the projection panel, thickness of the projection panel, and angle made by the projection panel with the horizontal plane, thickness was the most influential. The optimal combination of factors was acrylic material, a thickness of 1 mm, and an angle of 45. This paper’s method aids medical pedagogy and can be used by the holographic projection manufacturing industry to optimize 3D imaging definition and stereoscopic quality.

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Ming-Chung Chou, Tian-Hsiang Huang, Jinn-Tsong Tsai, Yen-Ming J. Chen, Kao-Shing Hwang, Wei-Tai Huang, Wen-Hsien Ho, "Optimization of 3D Holographic Projection for a Medical Image System using Taguchi Method and Fuzzy Inference Systemin Journal of Imaging Science and Technology,  2023,  pp 1 - 7,  https://doi.org/10.2352/J.ImagingSci.Technol.2023.67.4.040402

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Copyright © Society for Imaging Science and Technology 2023
  Article timeline 
  • received August 2022
  • accepted December 2022
  • PublishedJuly 2023

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