scholarly journals Repositioning Technique Based on 3D Model Using a Building Shape Registration Algorithm

2022 ◽  
Vol 34 (x) ◽  
pp. 1
Author(s):  
Jihun Kang ◽  
Jaehee Lee ◽  
Hongsik Yun ◽  
Seungjun Lee
2020 ◽  
Vol 10 (2) ◽  
pp. 469-476
Author(s):  
Ying He

The physiological and pathological changes of organisms will have certain effects on the morphology of tissues and organs. Conversely, the morphological changes of tissues and organs can also reflect the physiological and pathological changes of organisms to some extent. The bio-tissue slice can provide people with two-dimensional information of the tissue structure on a certain section. In this paper, the image registration algorithm based on mutual information is used to register the slice images of different tissues, and then the image segmentation is used to improve the registration accuracy. The three-dimensional data of the organizational structure is obtained, and the three-dimensional image of the tissue is reconstructed by computer processing. The reconstruction of different tissue slices is used to prove that the algorithm is fast and accurate, and the reconstruction speed of the 3D model is improved, which is of great significance for shortening the diagnostic waiting time.


2020 ◽  
Author(s):  
Michal Kuchař ◽  
Petr Henyš ◽  
Pavel Rejtar ◽  
Petr Hájek

AbstractDiffeomorphic shape registration allows for the seamless geometric alignment of shapes. In this study, we demonstrated the use of a registration algorithm to automatically seed anthropological landmarks on the CT images of the pelvis. We found a high correlation between manually and automatically seeded landmarks. The registration algorithm makes it possible to achieve a high degree of automation with the potential to reduce operator errors in the seeding of anthropological landmarks. The results of this study represent a promising step forward in effectively defining the anthropological measures of the human skeleton.HighlightsThe clinical CT scan is a feasible alternative to skeletal collections and body donor programs.Pelvic morphology is complex, sexually dimorphic and is proven to being a good demonstration model for the performance analysis of registration algorithm for automatic landmark seeding.The landmark seeding using registration algorithm can save time and effort in anthropological analysis.


2016 ◽  
Vol 54 (12) ◽  
pp. 1343-1404
Author(s):  
LS Spitzhorn ◽  
MA Kawala ◽  
J Adjaye
Keyword(s):  

2020 ◽  
Vol 14 (3) ◽  
pp. 7296-7308
Author(s):  
Siti Nur Humaira Mazlan ◽  
Aini Zuhra Abdul Kadir ◽  
N. H. A. Ngadiman ◽  
M.R. Alkahari

Fused deposition modelling (FDM) is a process of joining materials based on material entrusion technique to produce objects from 3D model using layer-by-layer technique as opposed to subtractive manufacturing. However, many challenges arise in the FDM-printed part such as warping, first layer problem and elephant food that was led to an error in dimensional accuracy of the printed parts especially for the overhanging parts. Hence, in order to investigate the manufacturability of the FDM printed part, various geometrical and manufacturing features were developed using the benchmarking artifacts. Therefore, in this study, new benchmarking artifacts containing multiple overhang lengths were proposed. After the benchmarking artifacts were developed, each of the features were inspected using 3D laser scanner to measure the dimensional accuracy and tolerances. Based on 3D scanned parts, 80% of the fabricated parts were fabricated within ±0.5 mm of dimensional accuracy as compared with the CAD data. In addition, the multiple overhang lengths were also successfully fabricated with a very significant of filament sagging observed.


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