scholarly journals Effect of Automatic Extraction Accuracy by Different Image Reconstruction Methods Using a Three-dimensional Image Analysis System for Pulmonary Segmentectomy Preoperative CT Angiography

2021 ◽  
Vol 77 (11) ◽  
pp. 1309-1316
Author(s):  
Chiaki Suzuki ◽  
Jin Nakano ◽  
Kosuke Matsubara
Keyword(s):  
Image Analysis ◽  
Image Reconstruction ◽  
Ct Angiography ◽  
Three Dimensional ◽  
Automatic Extraction ◽  
Image Analysis System ◽  
Dimensional Image ◽  
Reconstruction Methods ◽  
Preoperative Ct ◽  
Analysis System

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

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.

Research on the Application of Assisted Image Analysis System in the Fusion of Landscape Architecture and Landscape Painting Theory

2013 ◽  
Vol 791-793 ◽  
pp. 2018-2022
Author(s):  
Song Xia Zou
Keyword(s):  
Image Analysis ◽  
Computer Technology ◽  
Landscape Architecture ◽  
Three Dimensional ◽  
Landscape Painting ◽  
Image Analysis System ◽  
Three Dimensional Modeling ◽  
Dimensional Modeling ◽  
Graphic Image ◽  
Analysis System

With the development of computer technology, art designs are more and more rely on graphic image processing and three-dimensional modeling, especially in landscape designs. How to use assisted image analysis system scientifically is one of hot research topics in the field currently. This article first analyzes the meaning of integration of landscape architecture and landscape painting theory. According to this, it analyzes the application and principle of image analysis auxiliary systems of the integration of landscape architecture and landscape painting theory through the case. It further analyzes the development prospect of image analysis support system and puts forward constructive comment which provides a scientific basic for the researches in this field on some extent.

scholarly journals Augmented Reality Research of Measuring X-Ray Dental Film Alveolar Bone Based on Computer Image Analysis System

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Chunfeng Wang ◽  
Caigang Peng ◽  
Yepo Hou ◽  
Minmin Chen
Keyword(s):  
Image Analysis ◽  
Augmented Reality ◽  
Computer Image ◽  
Alveolar Bone ◽  
Three Dimensional ◽  
Image Analysis System ◽  
Computer Image Analysis ◽  
X Ray ◽  
Depth Measurement ◽  
Analysis System

The important application of computer imaging technology in the medical field is a necessary auxiliary method for clinical diagnosis and treatment. At present, many people are affected by various factors and have various problems caused by the dental cellular bone. Traditional treatment methods are complex and long, which can cause damage to body tissues. Based on this problem, this paper takes the augmented reality measurement of X-ray dental film as the research object. Based on the in-depth measurement algorithm of the computer image analysis system, two three-dimensional reconstruction methods based on the center of gravity and the matching of the front and side positions are proposed. These two methods only need two X-rays of the front and side of the dental film, the three-dimensional parameters are obtained through calculation and analysis of each spine in the X-ray film, and these parameters are used to fit the dental alveolar bone model. The experimental results prove that the computer-based image analysis system has a great effect on the measurement of X-ray dental film alveolar bone. The positive correlation coefficient reaches 0.87. Compared with the cerebral infarction caused by other methods, the proportion of people with dental film alveolar bone injury is about 15%; after treatment, the functional recovery rate reaches more than 80%. Studies have found that there is a great difference in the age of the population that needs to be treated for dental slices and alveolar bone. The grade of patients is generally under 20 and over 60. This shows that the measurement of X-ray dental film alveolar bone based on computer image analysis system can play an important role in protecting people's oral health.

The Study of Three-Dimensional Analysis Techniques and Automatic Classification Systems for Wear Particles

1999 ◽  
Vol 121 (1) ◽  
pp. 169-176 ◽  
Author(s):  
Z. Peng ◽  
T. B. Kirk
Keyword(s):  
Image Analysis ◽  
Wear Debris ◽  
Three Dimensional ◽  
Wear Particle ◽  
Automatic Classification ◽  
Classification Systems ◽  
Image Analysis System ◽  
Wear Particles ◽  
Machine Condition ◽  
Analysis System

Although the morphology of wear debris generated in a machine has a direct relationship to wear processes and machine condition, studying wear particles for machine condition monitoring has not been widely applied in Industry as it is time consuming and requires certain expertise of analysts. To overcome these obstacles, automatic wear particle analysis and identification systems need to be developed. In this paper, laser scanning confocal microscopy has been used to obtain three-dimensional images of metallic wear particles. An analysis system has been developed and applied to study the boundary morphology and surface topography of the wear debris. After conducting the image analysis procedure and selecting critical criteria from dozens of available parameters, neural networks and grey systems have been investigated to classify unknown patterns using the numerical descriptors. It is demonstrated that the combination of the image analysis system and automatic classification systems has provided an automatic package for wear particle study which may be applied to industrial applications in the future.

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