Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Effects of Different Parameter Settings for 3D Data Smoothing and Mesh Simplification on Towards Near Real-Time 3D Reconstruction of High Resolution Bioceramic Bone Void Filling Medical Images

Version 1 : Received: 24 October 2021 / Approved: 25 October 2021 / Online: 25 October 2021 (15:34:27 CEST)

A peer-reviewed article of this Preprint also exists.

Chin, D.J.Y.; Mohamed, A.S.A.; Shariff, K.A.; Ab Wahab, M.N.; Ishikawa, K. Effects of Different Parameter Settings for 3D Data Smoothing and Mesh Simplification on Near Real-Time 3D Reconstruction of High Resolution Bioceramic Bone Void Filling Medical Images. Sensors 2021, 21, 7955. Chin, D.J.Y.; Mohamed, A.S.A.; Shariff, K.A.; Ab Wahab, M.N.; Ishikawa, K. Effects of Different Parameter Settings for 3D Data Smoothing and Mesh Simplification on Near Real-Time 3D Reconstruction of High Resolution Bioceramic Bone Void Filling Medical Images. Sensors 2021, 21, 7955.

Journal reference: Sensors 2021, 21, 7955
DOI: 10.3390/s21237955

Abstract

Three-dimensional reconstruction plays an important role in assisting doctors and surgeons in diagnosing bone defects’ healing progress. Common three-dimensional reconstruction methods include surface and volume rendering. As the focus is on the shape of the bone, volume rendering is omitted. Many improvements have been made on surface rendering methods like Marching Cubes and Marching Tetrahedra, but not many on working towards real-time or near real-time surface rendering for large medical images, and studying the effects of different parameter settings for the improvements. Hence, in this study, an attempt towards near real-time surface rendering for large medical images is made. Different parameter values are experimented on to study their effect on reconstruction accuracy, reconstruction and rendering time, and the number of vertices and faces. The proposed improvement involving three-dimensional data smoothing with convolution kernel Gaussian size 0.5 and mesh simplification reduction factor of 0.1, is the best parameter value combination for achieving a good balance between high reconstruction accuracy, low total execution time, and a low number of vertices and faces. It has successfully increased the reconstruction accuracy by 0.0235%, decreased the total execution time by 69.81%, and decreased the number of vertices and faces by 86.57% and 86.61% respectively.

Keywords

3D reconstruction; 3D data smoothing; mesh simplification; high resolution micro-CT images

Subject

MATHEMATICS & COMPUTER SCIENCE, Probability and Statistics

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