scholarly journals "Introduction to 3 Dimensional Computer Graphics. (8). CG Representation of Human Images".

1992 ◽  
Vol 46 (8) ◽  
pp. 1012-1020
Author(s):  
Yasuhito Suenaga ◽  
Kenji Mase ◽  
Yasuhipo Watanabe
Author(s):  
J.R. McIntosh ◽  
D.L. Stemple ◽  
William Bishop ◽  
G.W. Hannaway

EM specimens often contain 3-dimensional information that is lost during micrography on a single photographic film. Two images of one specimen at appropriate orientations give a stereo view, but complex structures composed of multiple objects of graded density that superimpose in each projection are often difficult to decipher in stereo. Several analytical methods for 3-D reconstruction from multiple images of a serially tilted specimen are available, but they are all time-consuming and computationally intense.


Proceedings ◽  
2020 ◽  
Vol 49 (1) ◽  
pp. 69
Author(s):  
Taisei Mori ◽  
Yohei Ogino ◽  
Akihiro Matsuda ◽  
Yumiko Funabashi

In this paper, 3-axial knee joint torques given by compression sports tights were performed by numerical simulations using 3-dimensional computer graphics of a human model. Running motions of the human model were represented as the 3-dimensional computer graphics, and the running motions were determined by the motion capturing system of human subjects. Strain distribution on the surface of the 3-dimentional computer graphics of the human model was applied to the boundary conditions of the numerical simulations. An anisotropic hyperelastic model considering stress softening of fabric materials was implemented to reproduce the mechanical characteristics of the compression sports tights. Based on the strain-time relationships, knee joint torques in 3-dimentional coordinates given by the compression sports tights were calculated. As a result, the three types of knee joint torque generated by the compression sports tights in running motions were calculated. From the calculated results, the maximum value of flexion/extension, varus/valgus, and internal/external knee joint torques were given as 2.52, 0.59, and 0.31 Nm, respectively. The effect of compression sports tights on the knee joint was investigated.


2011 ◽  
Vol 69 (suppl_1) ◽  
pp. ons40-ons48 ◽  
Author(s):  
Taichi Kin ◽  
Masahiro Shin ◽  
Hiroshi Oyama ◽  
Kyousuke Kamada ◽  
Akira Kunimatsu ◽  
...  

Abstract BACKGROUND: Imaging technologies have evolved to meet the demand for improved presurgical simulations, particularly with the introduction of endoscopic surgery in the neurosurgical field. OBJECTIVE: To evaluate the effectiveness of a 3-dimensional interactive visualization method with a computer graphics model, which was created using hybrid rendering and multimodal fusion methods for neuroendoscopic surgery, and to assess whether the 2-dimensional interactive visualization method could effectively represent the microsurgical anatomical information necessary for endoscopic surgery compared with conventional 3-dimensional computer graphics models. METHODS: Ten patients scheduled for neuroendoscopic surgery for intraventricular lesions were included in the study. For the 3-dimensional interactive visualization method, a hybrid model of volume and surface rendering was created from magnetic resonance images combined with computed tomography and positron emission tomography. Preoperative radiographic images were fused with the normalized mutual information method. Visibility of anatomic structures was compared between the multifusion models and nonfusion models created from only heavy-T2-weighted images that rely solely on the surface rendering method. RESULTS: The average visibility score of the multifusion models was 97.5% (range, 95.6% to 100%), which was significantly higher than that for nonfusion models (35.9% to 64.1%; P = .002). The multifusion model represents an improved visualization method for preoperative virtual simulation for neuroendoscopic intraventricular surgery. CONCLUSION: Our 3-dimensional imaging method is superior to conventional methods and will greatly improve the safety and effectiveness of neuroendoscopic surgical procedures for complex intraventricular lesions.


2007 ◽  
Vol 07 (01) ◽  
pp. 37-53 ◽  
Author(s):  
OLGA SOURINA ◽  
ALEXEI SOURIN ◽  
HOWE TET SEN

Surgical training is one of the most promising areas in medicine where 3-D computer graphics and virtual reality techniques are emerging. Orthopedic surgery is a discipline requiring appreciation and understanding of complex 3-dimensional bony structures and their relationships to nerves, blood vessels and other vital structures. Learning these spatial skills requires a lengthy period and much practice. In this paper, we present a software simulator which was developed to aid in the understanding of the complex 3-dimensional relationships between bones and implants. The developed software cuts down the learning curve and allows for better and more precise surgery by letting the surgeon practice the surgery in a virtual environment before undertaking the actual procedure.


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