GPU-Accelerated Enhanced Marching Cubes 33 for Fast 3D Reconstruction of Large Bone Defect CT Images

Daniel Jie Yuan Chin, Ahmad Sufril Azlan Mohamed, Khairul Anuar Shariff, Kunio Ishikawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the advancement in three-dimensional technologies, three-dimensional reconstruction of medical images serves as reliable assistance for doctors and surgeons in evaluating and diagnosing bone defects. Amongst the existing reconstruction methods, the Marching Cubes algorithm is highly popular in the surface rendering research study. There are many improvements made over the Marching Cubes algorithm, but due to the relatively small image datasets used during evaluation, it is difficult to judge the effectiveness of the improvements on large image datasets and the reconstructed models may not be viewable in lower-end specs digital devices like tablets and smartphones. Thus, an enhancement over the extended Marching Cubes 33 with graphics processing unit acceleration to improve the reconstruction accuracy, execution time, and model portability for large image datasets is proposed in this study. The obtained results show that the proposed enhancement successfully increased the accuracy by 5.29%, decreased the execution time by 11.16%, and decreased the number of vertices and faces by 73.72%. This shows that it is possible to view bone defect models with a high similarity percentage on lower-end spec digital devices and print them out with a three-dimensional printer.

Original languageEnglish
Title of host publicationAdvances in Visual Informatics - 7th International Visual Informatics Conference, IVIC 2021, Proceedings
EditorsHalimah Badioze Zaman, Alan F. Smeaton, Timothy K. Shih, Sergio Velastin, Tada Terutoshi, Bo Nørregaard Jørgensen, Hazleen Aris, Nazrita Ibrahim
PublisherSpringer Science and Business Media Deutschland GmbH
Pages374-384
Number of pages11
ISBN (Print)9783030902346
DOIs
Publication statusPublished - 2021
Event7th International Conference on Advances in Visual Informatics, IVIC 2021 - Kajang, Malaysia
Duration: Nov 23 2021Nov 25 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13051 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Advances in Visual Informatics, IVIC 2021
Country/TerritoryMalaysia
CityKajang
Period11/23/2111/25/21

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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