scholarly journals Clinical Research of Orthopedic Trauma Based on Computer 3D Image Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Feng Zhao ◽  
Jun Fang ◽  
Da Li ◽  
Qingnan Hong ◽  
Ruijin You ◽  
...  
Keyword(s):  
Image Analysis ◽  
Clinical Research ◽  
Intelligent System ◽  
Diagnosis And Treatment ◽  
Image Point ◽  
Phase Extraction ◽  
Orthopedic Trauma ◽  
3D Image ◽  
3D Image Analysis ◽  
Background Image

In order to improve the clinical research effect of orthopedic trauma, this paper applies computer 3D image analysis technology to the clinical research of orthopedic trauma and proposes the BOS technology based on FFT phase extraction. The background image in this technique is a “cosine blob” background image. Moreover, this technology uses the FFT phase extraction method to process this background image to extract the image point displacement. The BOS technology based on FFT phase extraction does not need to select a diagnostic window. Finally, this paper combines computer 3D image analysis technology to build an intelligent system. According to the experimental research results, the clinical analysis system of orthopedic trauma based on computer 3D image analysis proposed in this paper can play an important role in the clinical diagnosis and treatment of orthopedic trauma and improve the diagnosis and treatment effect of orthopedic trauma.

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

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

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.

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

Urology ◽  
2015 ◽  
Vol 86 (3) ◽  
pp. 534-538 ◽  
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

scholarly journals 3D Image Analysis and Artificial Intelligence for Bone Disease Classification

2009 ◽  
Vol 34 (5) ◽  
pp. 815-828 ◽  
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

Shadow Stereo, Image Filtering, and Constraint Propagation

2005 ◽  
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.

Exploration of Multiparameter Hematoma 3D Image Analysis for Predicting Outcome After Intracerebral Hemorrhage

2019 ◽  
Vol 32 (2) ◽  
pp. 539-549 ◽  
Author(s):  
Pascal Salazar ◽  
Mario Di Napoli ◽  
Mostafa Jafari ◽  
Alibay Jafarli ◽  
Wendy Ziai ◽  
...  
Keyword(s):  
Image Analysis ◽  
Intracerebral Hemorrhage ◽  
3D Image ◽  
3D Image Analysis ◽  
Predicting Outcome

Digital description of the ISO wrinkle replicas using 3D image analysis

2009 ◽  
Vol 10 (4) ◽  
pp. 539-545 ◽  
Author(s):  
Ajoo Yang ◽  
In Hwan Sul ◽  
Soon Young Yoon ◽  
Sungmin Kim ◽  
Chang Kyu Park
Keyword(s):  
Image Analysis ◽  
3D Image ◽  
3D Image Analysis
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