Application of Image Processing and Virtual Reality Technologies in Simulation of Laparoscopic Procedures

2015 ◽  
pp. 463-470 ◽  
Author(s):  
Jan Nikodem ◽  
Andrzej Wytyczak-Partyka ◽  
Ryszard Klempous
Keyword(s):  
Image Processing ◽  
Virtual Reality ◽  
Laparoscopic Procedures

scholarly journals Maze Terrain Authoring System in Immersive Virtual Reality for New Visual Realism

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 490
Author(s):  
Jinmo Kim
Keyword(s):  
Image Processing ◽  
Virtual Reality ◽  
Processing Algorithm ◽  
Immersive Virtual Reality ◽  
Authoring System ◽  
Image Processing Algorithm ◽  
Generation Algorithm ◽  
Complex Maze ◽  
System A ◽  
Visual Realism

This paper proposes a maze terrain authoring system with which a user can automatically calculate various and complex maze patterns to compose maze terrains in an easier and more intuitive structure. Using the maze terrain information calculated by using the proposed authoring system, a 3D maze terrain is generated quickly and effectively, and through this, the user’s visual realism in an immersive virtual reality is increased to provide a new presence. The proposed maze terrain authoring system consists of three core functions: a function that automatically generates a grid maze of various sizes and patterns based on a maze generation algorithm; a function that calculates a circular maze in an intuitive structure; and a function that transforms a sketch-based maze by using an image-processing algorithm. Through the authoring system consisting of these functions, various maze terrains from uniform mazes to irregular mazes can be generated effectively. This study produces maze terrains of various concepts directly by using maze information calculated through the authoring system. In addition, through experiments, this study analyzes the efficiency in an immersive virtual reality and the presence through visual realism. In this process, the suitability of the authoring system is also analyzed in combination with a survey.

scholarly journals Improved Image Processing Techniques for User Immersion Problem Alleviation in Virtual Reality Environments

2020 ◽  
Vol 2 (2) ◽  
pp. 77-84
Author(s):  
Dr. Dhaya R.
Keyword(s):  
Image Processing ◽  
Virtual Reality ◽  
Processing Speed ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Image Processing Techniques ◽  
Processing Techniques

The latest advertisements on the advancements of the virtual reality has paved way for diverse studies, in manifold fields that can benefit by utilizing the technologies of the virtual reality, not excluding the design, gaming and the simulated understanding. Yet whenever a virtual reality device conveys information in form of images with the assistance of the display that is positioned closer to the user’s eyes it faces problems like minimizing the speed of the process and degradation in the quality of images ending up in huge variations across the virtual realism and the realism causing user immersion problems. So to mitigate the immersion problems of the user because of the low quality of image and the minimization of processing speed in the virtual reality environments the paper puts forth an improved image processing technique to improvise the sharpness of the images in order to enhance quality of the images and heighten the processing speed.

scholarly journals 3D Video Image Processing Effect Optimization Method Based on Virtual Reality Technology

2022 ◽  
Vol 16 ◽  
pp. 385-390
Author(s):  
Zhihong He ◽  
Wenjie Jia ◽  
Erhua Sun ◽  
Huilong Sun
Keyword(s):  
Image Processing ◽  
Virtual Reality ◽  
Optimization Methods ◽  
Optimization Method ◽  
3D Video ◽  
Video Image ◽  
Virtual Reality Technology ◽  
Processing Effect ◽  
Image Edge ◽  
Video Image Processing

The existing optimization methods have the problem of image edge blur, which leads to a high degree of shadow residue. In order to address this problem, reduce the shadow residual degree, this paper designs a 3D video image processing effect optimization method supported by virtual reality technology. Coding was used to eliminate redundant data in video and eliminate image noise using median filtering. The virtual reality technology detects the image edge and determines the motion offset between the image frames. According to the motion parameters of the camera carrier obtained from the motion estimation, the feature point matching algorithm constructs the video image motion model, and uses the camera calibration technology to set the processing effect optimization mode. It is optimized by perspective projection transformation. Experimental results: the average shadow residual degree of the optimization method and the two existing optimization methods are 3.108%, 6.167% and 6.396% respectively, which proves that the optimization method combined with virtual reality technology has higher practical application value.

Design and Evaluation of a Portable Laparoscopic Training System Using Virtual Reality

2016 ◽  
Vol 11 (1) ◽  
Author(s):  
Mohsen Zahiri ◽  
Ryan Booton ◽  
Ka-Chun Siu ◽  
Carl A. Nelson
Keyword(s):  
Image Processing ◽  
Virtual Reality ◽  
Laparoscopic Surgery ◽  
Muscle Activity ◽  
Completion Time ◽  
Training System ◽  
Surgical Instruments ◽  
Task Completion ◽  
P Value ◽  
Training Time

The ubiquitous nature of laparoscopic surgery and the decreased training time available for surgeons are driving an increased need for effective training systems to help surgeons learn different procedures. A cost-effective and user-friendly simulator has been designed to imitate specific training tasks for laparoscopic surgery in virtual environments via image processing and computer vision. The capability of using various actual surgical instruments suited for these specific procedures gives heightened fidelity to the simulator. Image processing via matlab software provides real-time mapping of the graspers in the workspace to the virtual reality (VR) environment (vizard software). Two different tasks (peg transfer and needle passing) were designed to evaluate trainees and compare their performance with characteristics of expert surgeons. Pilot testing of the system was carried out with 11 subjects to validate the similarity of this device with an existing surgical box trainer. Task completion time and muscle activity have been used as metrics for evaluation. The decrease in completion time for all subjects suggests similarity of skills transfer for both simulators. In addition, the p-value of muscle activity showed no significant differences for most muscles in the peg transfer task when using either the VR or physical analog environment and no significant differences for about half of the muscles in the needle passing task. Based on the results, the new proposed VR simulator appears to be a viable alternative to help trainees gain laparoscopic skills.

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