The Method of Pose Judgment of Potential Motion Damage in 3D Image Analysis

Objective. This work aimed to study the posture judgment method of 3D image analysis of potential motion damage. Methods. The motion damage collection was implemented by the 3D image analysis method, and 3D image data were adopted to identify the motion damage data. Moreover, 3D image acquisition technology was adopted to analyze the model of potential motion damage and analyze the simulation judgment result of potential motion damage. Specifically, it included simulation parameters, motion damage posture collection effect, damage detection speed at the collection point, damage accuracy, and damage degree. Results. (1) The analysis of the damage monitoring speed at multiple collection points of the athletes in the sports environment confirmed that the range of changes in different time periods was different, and the changes showed a fast to slow to fast trend. (2) The 3D image analysis had high accuracy in analyzing the posture of potential motion damage, which rationalized the evolution of injuries. (3) The degree of motion damage under a 3D image changed from rising to gradual, which was in line with the theoretical results (all p < 0.05). Conclusion. 3D image analysis can collect a high degree of small-sample-size data, then perform specific analysis, judgment, and summary, and finally, obtain objective and reasonable data. It greatly reduced the risk of potential motion damage for athletes and also improved the efficiency of injury recognition. Moreover, it reduced the chances of blind prevention and error prevention by athletes, thereby avoiding waste of resources. The simulation test confirmed the advantages of 3D image data collection in the sports environment, and it was solved that the current athletes cannot accurately and timely judge the potential motion damage. It also met the instability needs of the movement personnel of the acquisition system in the changing sports environment and provided a reliable guarantee for the safety and health of the sport personnel.

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3D Image Analysis for Evaluating Internal Deformation / Fracture Characteristics of Materials

IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics ◽

10.1109/iecon.2006.347950 ◽

2006 ◽

Author(s):

Mitsuru Nakazawa ◽

Yoshimitsu Aoki ◽

Yuji Kawai ◽

Masakazu Kobayashi ◽

Hiroyuki Toda

Keyword(s):

Image Analysis ◽

3D Image ◽

Fracture Characteristics ◽

3D Image Analysis ◽

Internal Deformation

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High Resolution Micro CT Imaging and 3D Image Analysis of Paper Products

Proceedings of the 2nd International Congress on 3D Materials Science ◽

10.1007/978-3-319-48123-4_7 ◽

2014 ◽

pp. 41-46

Author(s):

Y. Sharma ◽

A. B. Phillion ◽

M. Martinez

Keyword(s):

Image Analysis ◽

High Resolution ◽

Ct Imaging ◽

Micro Ct ◽

3D Image ◽

3D Image Analysis

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3D Image analysis for evaluating internal deformation / fracture characteristics of materials

Electronics and Communications in Japan ◽

10.1002/ecj.10005 ◽

2008 ◽

Vol 91 (12) ◽

pp. 16-23

Author(s):

Mitsuru Nakazawa ◽

Yoshimitsu Aoki ◽

Hiroyuki Toda ◽

Masakazu Kobayashi

Keyword(s):

Image Analysis ◽

3D Image ◽

Fracture Characteristics ◽

3D Image Analysis ◽

Internal Deformation

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Renal Artery Perfusion Evaluation Before Transplantation via a 3-Dimensional Image Analysis System

International Surgery ◽

10.9738/intsurg-d-19-00001.1 ◽

2020 ◽

Vol 104 (3-4) ◽

pp. 188-193

Author(s):

Koichi Tomita ◽

Yuki Nakamura ◽

Takayoshi Yokoyama ◽

Naokazu Chiba ◽

Yu Kihara ◽

...

Keyword(s):

Image Analysis ◽

Kidney Transplantation ◽

Renal Artery ◽

Image Analysis System ◽

3D Image ◽

3 Dimensional ◽

3D Image Analysis ◽

Reconstruction Methods ◽

Analysis System ◽

Artery Perfusion

Background: The perfusion areas of renal arteries in renal transplantation are assessed via subjective observations during perfusion in a bench surgery; however, this evaluation method lacks reliability and objectivity. In this study, we aimed to evaluate the perfusion area of each main and side artery kidney graft using a 3-dimensional (3D) image analysis system. Methods: We enrolled 50 patients who had undergone living kidney transplantation with multiple renal artery grafting at our center between 2005 and 2017. All computed tomography images from donors were retrospectively analyzed using a 3D image analysis system. We then calculated the artery perfusion areas associated with the artery reconstruction method used. Results: The perfusion areas of side arteries, which were evaluated after surgery, were statistically different among cases employing different reconstruction methods (P < 0.001). The perfusion area of the ligated side arteries (volume, 10 mL; proportion, 6.1%) was smaller than that of the ligated side arteries where different reconstruction methods were used. Conclusion: A 3D image analysis system could provide an accurate visual representation of the vasculature prior to living donor transplantation. It could also enable calculation of perfusion area for each artery and preoperative prediction of the need for arterial reconstruction, thereby promoting safe kidney transplantation surgery.

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Multicenter Validation of Surgeon Assessment of Renal Preservation in Comparison to Measurement With 3D Image Analysis

Urology ◽

10.1016/j.urology.2015.06.014 ◽

2015 ◽

Vol 86 (3) ◽

pp. 534-538 ◽

Cited By ~ 13

Author(s):

Conrad M. Tobert ◽

Toshio Takagi ◽

Michael A. Liss ◽

Hak Lee ◽

Ithaar H. Derweesh ◽

...

Keyword(s):

Image Analysis ◽

3D Image ◽

3D Image Analysis ◽

Multicenter Validation

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3D Image Analysis and Artificial Intelligence for Bone Disease Classification

Journal of Medical Systems ◽

10.1007/s10916-009-9296-3 ◽

2009 ◽

Vol 34 (5) ◽

pp. 815-828 ◽

Cited By ~ 10

Author(s):

Abdurrahim Akgundogdu ◽

Rachid Jennane ◽

Gabriel Aufort ◽

Claude Laurent Benhamou ◽

Osman Nuri Ucan

Keyword(s):

Artificial Intelligence ◽

Image Analysis ◽

Bone Disease ◽

Disease Classification ◽

3D Image ◽

3D Image Analysis

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Shadow Stereo, Image Filtering, and Constraint Propagation

Images and Artefacts of the Ancient World ◽

10.5871/bacad/9780197262962.003.0003 ◽

2005 ◽

Cited By ~ 2

Author(s):

Michael Brady ◽

Xiao-Bo Pan ◽

Veit Schenk ◽

Melissa Terras ◽

Paul Robertson ◽

...

Keyword(s):

Image Analysis ◽

Three Dimensional ◽

Constraint Propagation ◽

Stereo Image ◽

3D Image ◽

3D Image Analysis ◽

Documentary Sources ◽

Wood Grain ◽

Stereo Algorithm ◽

Image Analysis Techniques

It is agreed that stilus tablets are very important documentary sources, however they are the most difficult to decipher. The difficulties in deciphering them is due to the rough surface of the tablets, the low brightness contrast of the incisions, the dense wood-grain lines, and the badly stained and pitted nature of the tablets. All of these posit a challenge for conventional two-dimensional (2D) image analysis. This chapter aims to provide a system that would aid the historian in interpreting stilus tablets by improving the legibility of the tablets. It provides novel ways of determining the texts incised on the tablets. One of these is the use of three-dimensional (3D) image analysis techniques. Such a technique is capable of detecting incisions, compared to the 2D image analysis, and is portable and inexpensive. Another method that can be used is the use of shadow stereo. This method employs low raking angle light close to the plane of the tablet at different elevations. The chapter also discusses the image formation process and the process of choosing elevations for each azimuth direction. The chapter also includes a discussion on realizing the shadow stereo algorithm.

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