Application of Geometric Modeling in Visualizing the Medical Image Dataset
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ORIGINAL RESEARCH
Application of Geometric Modeling in Visualizing the Medical Image Dataset Sinh Van Nguyen1 · Ha Manh Tran2 · Truong Son Le1 Received: 9 April 2020 / Accepted: 21 July 2020 © Springer Nature Singapore Pte Ltd 2020
Abstract Geometric modeling is a research based on computational geometry for processing the 3D objects in computer graphics or image processing. Rendering the graphical objects in medical applications is an interesting research that can help doctors have an exact decision in their diagnostic method. Application of geometric modeling in visualization of medical data is considered as a tool to support treatment. In the field of big data analysis and data science, the methods, tools and techniques are essential and important to analyze a massive amount of information and make data-driven decisions. These data are first analyzed and computed depending on the criteria and purpose of users. They are then visualized or simulated using visual elements like charts, graphs or maps to explore, understand their characteristics and data structure. Which method or solution is best for rendering and visualizing the analyzed data? That is still a question and even a challenge to the researchers. In this article, we apply geometric modeling to build a web-based application for visualizing a medical image dataset. This is an improved version of the selected paper in the previous work[1]. We first review several researches in the fields of computer graphics, images processing, geometric modeling and their applications; then we combine all of them and propose a method to develop our application for reconstructing the medical data objects. The input data are a Dicom (Digital Imaging and Communications in Medicine) dataset captured from CT (computed tomography) scanner or MRI (Magnetic Resonance Imaging). The output are 2D and 3D models that can be displayed and handled in different ways on the web interface. In comparison with other existing applications, our method shown the advantages of its using in practice. Keywords Medical image processing · Geometric modeling · 3D reconstruction · Graphical visualization · Data rendering
Introduction Visualization of data is an important step in data analysis, data processing, data mining or simplification of data. Depending on the context of research, type of input data, structure of data and algorithms, it can be applied in many scientific research fields such as database and data mining, computer graphics, image processing or data simulation, etc. This article is part of the topical collection “Future Data and Security Engineering 2019” guest edited by Tran Khanh Dang. * Sinh Van Nguyen [email protected] https://www.hcmiu.edu.vn 1
School of Computer Science and Engineering, International University-Vietnam National University of HCMC, Ho Chi Minh City, Vietnam
Hong Bang International University, Ho Chi Minh City, Vietnam
2
The development of information technology and Internet brings us tools and applications that can serve for data analysis effici
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