6-DOF Haptic Interface for Neurosurgical Simulation System

1999 ◽  
Author(s):  
Takeo Asano ◽  
Hiroshi Matsuzaki ◽  
Akito Saito ◽  
Yukihiko Furuhashi ◽  
Yuichiro Akatsuka ◽  
...  

Abstract Practical use of medical simulation system with virtual reality technology is expected because of the learning of the operation procedure. We have therefore developed a neurosurgical simulation system for minimally invasive surgery. Our system is composed of PC and one or two haptic interfaces. Operator can pick up the region of interest to specify the disease portion from DICOM format image data, then three-dimensional model have made by volume and surface rendering with this data. In the next step, system estimates and indicates on CRT the minimally invasive path from the head surface to the disease target that was picked up beforehand by this system which retains healthy human’s three-dimensional atlas data. Finally, the operator can perform a virtual surgery operation by the haptic interface that has been connected to PC, and can cut off an exact or approximate portion of the disease. The operator can feel the resistance from this virtual object. This operation process can be recorded for medical doctors to review later.


2005 ◽  
Vol 119 (9) ◽  
pp. 693-698 ◽  
Author(s):  
Beom-Cho Jun ◽  
Sun-Wha Song ◽  
Ju-Eun Cho ◽  
Chan-Soon Park ◽  
Dong-Hee Lee ◽  
...  

The aim of this study was to investigate the usefulness of a three-dimensional (3D) reconstruction of computed tomography (CT) images in determining the anatomy and topographic relationship between various important structures. Using 40 ears from 20 patients with various otological diseases, a 3D reconstruction based on the image data from spiral high-resolution CT was performed by segmentation, volume-rendering and surface-rendering algorithms on a personal computer. The 3D display of the middle and inner ear structures was demonstrated in detail. Computer-assisted measurements, many of which could not be easily measured in vivo, of the reconstructed structures provided accurate anatomic details that improved the surgeon’s understanding of spatial relationships. A 3D reconstruction of temporal bone CT might be useful for education and increasing understanding of the anatomical structures of the temporal bone. However, it will be necessary to confirm the correlation between the 3D reconstructed images and histological sections through a validation study.



2013 ◽  
Vol 343 ◽  
pp. 135-139 ◽  
Author(s):  
Xiao Qi Lu ◽  
Cheng Li Wang ◽  
Yu Gu ◽  
Dong Zheng Jia

Virtual Endoscopy is a new non-invasive inspection method, it gets the body's two-dimensional slice data by CT, MRI and collects volume data to generate three-dimensional model of the various organs of the body, then three-dimensional model generates visual display, glimpses the roaming function. This article imitates camera model by visualization toolkit, using flexible keyboard and mouse to control the virtual camera to roam in the trachea, having achieved the visualization of virtual endoscopy. Virtual endoscopy has broad application prospects in the realization of the virtual medical diagnostic virtual therapy and virtual teaching.



2010 ◽  
Vol 2010 ◽  
pp. 1-10 ◽  
Author(s):  
Peishan Dai ◽  
Boliang Wang ◽  
Chunbo Bao ◽  
Ying Ju

Computer simulation of the biomechanical and biological heat transfer in ophthalmology greatly relies on having a reliable computer model of the human eye. This paper proposes a novel method on the construction of a geometric model of the human eye based on tissue slice images. Slice images were obtained from an in vitro Chinese human eye through an embryo specimen processing methods. A level set algorithm was used to extract contour points of eye tissues while a principle component analysis was used to detect the central axis of the image. The two-dimensional contour was rotated around the central axis to obtain a three-dimensional model of the human eye. Refined geometric models of the cornea, sclera, iris, lens, vitreous, and other eye tissues were then constructed with their position and ratio relationships kept intact. A preliminary study of eye tissue deformation in eye virtual surgery was simulated by a mass-spring model based on the computer models developed.



Author(s):  
Biljana S. Jović ◽  
Anđela D. Mitić

Abstract This research provides an exploration of a biomimetic approach in the process of designing a candelabra model using linear shaped leaves of a Bell flower. The design process described in this research contains two steps: biological and geometrical. In the first biological step, a proper model for the creation of an urban element was found from nature in a Bell flower (Campanula persicifolia L.). The upper leaves of the selected plant, which are small with a linear spear and sharpening at the top, were chosen for the modeling process. The second step included applying two geometrical methods, i.e., Voronoi diagrams and Delaunay triangulation. A geometrical leaf form of the selected plant species and the modeling process were obtained using aparametric modeling software, Blender. Using different Blender plug-ins and modifiers, Delaunay triangulation and Voronoi diagram were implemented by marking the starting points on the leaf form in the image data source, adjusting the Delaunay triangulation parameters, and creating Voronoi diagrams in which the Voronoi points were located at the shortest distance from the edges of the Voronoi polygon. Consequently, a three dimensional model of a candelabra was developed through this study.



2012 ◽  
Vol 26 (12) ◽  
pp. 3655-3662 ◽  
Author(s):  
Anant S. Vemuri ◽  
Jungle Chi-Hsiang Wu ◽  
Kai-Che Liu ◽  
Hurng-Sheng Wu


2011 ◽  
Vol 341-342 ◽  
pp. 152-157
Author(s):  
Chen Liang ◽  
Nan Jiang ◽  
Ya Wen Yu

Three-dimensional visualization of medical imaging technology uses two-dimensional medical image sequences to reconstruct three-dimensional model, providing the physician with intuitive, comprehensive, accurate information about the focus and normal tissues, is currently a hot research field of medicine. This essay makes a comparison between the two currently popular algorithms – surface rendering algorithm and volume rendering algorithm, with its focus on the introduction of MC algorithm, meanwhile achieves the integration of three types of improved MC algorithm, completes a high-precision, high-efficiency surface rendering process based on .MFC and OpenGL technologies.



Author(s):  
Kevin J. Renze

Factual evidence from locomotive event data recorders (EDR), locomotive image data recorders, accident site surveys, witness marks, rail equipment, track structure, photographs, video cameras, AEI readers, hot wheel or hot bearing detectors, wayside signal bungalows, train consist documents, and radio communication is integrated, validated, and visualized in a three-dimensional model environment. The goal is to build a physics-based, data-driven model of train position as a function of time to enhance the documentation, investigation, understanding, and analysis of in-service train derailments. Methods to construct, validate, and interrogate time-accurate, interactive visualizations of train movements for partial and complete train consists are discussed and demonstrated. In-service freight train derailments that occurred in Hoxie, Arkansas (offset frontal collision between opposing freight trains), Casselton, North Dakota (unit grain train derailment with car fouling opposing mainline track and subsequent crude oil unit train head-on collision), and Graettinger, Iowa (unit ethanol train derailment) are used to illustrate the accident reconstruction method. Similar vehicle path reconstructions for recent highway, aviation, and marine investigations are also presented.



2021 ◽  
Vol 13 (17) ◽  
pp. 3417
Author(s):  
Yibo He ◽  
Zhenqi Hu ◽  
Kan Wu ◽  
Rui Wang

Repairing point cloud holes has become an important problem in the research of 3D laser point cloud data, which ensures the integrity and improves the precision of point cloud data. However, for the point cloud data with non-characteristic holes, the boundary data of point cloud holes cannot be used for repairing. Therefore, this paper introduces photogrammetry technology and analyzes the density of the image point cloud data with the highest precision. The 3D laser point cloud data are first formed into hole data with sharp features. The image data are calculated into six density image point cloud data. Next, the barycenterization Bursa model is used to fine-register the two types of data and to delete the overlapping regions. Then, the cross-section is used to evaluate the precision of the combined point cloud data to get the optimal density. A three-dimensional model is constructed for this data and the original point cloud data, respectively and the surface area method and the deviation method are used to compare them. The experimental results show that the ratio of the areas is less than 0.5%, and the maximum standard deviation is 0.0036 m and the minimum is 0.0015 m.



Healthcare ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 137
Author(s):  
I-Chen Wu ◽  
Yi-Chun Lin ◽  
Huey-Wen Yien ◽  
Fuh-Yuan Shih

Making emergency evacuation plans for disaster prevention is always a high priority for hospital administrators to ensure the safety of patients and employees. This study employs the outpatient chemotherapy area of a cancer medical center as an example, and its area involves professional medical care and relatively complex human group behaviors. Hence, it is necessary to simulate evacuations in advance to formulate a special evacuation plan. To achieve this task, a constraint-based simulation system is developed with three major processes: defining spatial and activity constraints, agent-based modeling, and optimizing resource allocation. The spatial boundaries are converted from a three-dimensional model in the Building Information Modeling (BIM) to conduct a visualized simulation. Based on the spatial boundaries, the activities of the agents are set to obey the process specified by work studies. Finally, the Monte Carlo method is employed to simulate the stochastic rescue behaviors of nurses during disasters to determine the fittest resource allocation with the shortest evacuation time for different numbers of patients. The results reveal that the proposed system can output a suggested list of resource allocations and visualized results for administrators when making evacuation plans such that all the people in the area can be safely evacuated.



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