Image-to-Mesh Conversion Tool (I2MTool) for Image-Driven Simulations
Description/Abstract/Artist Statement
Grid Generation is a critical component for many (bio-)engineering and science applications. The goal of my research project is to improve upon the current Image-to-Mesh Conversion tool (I2MTool), created by the Center for Real-time Computing (CRTC), for image-driven visualization. The I2MTool could be proven beneficial in a spectrum of disciplines that spans from Nuclear Femtography and Multiscale Materials and Structures Modeling to Finite Element (FE) analysis for NASA’s Computational Fluid Dynamics (CFD) 2030 Vision and Vision 2040 for Integrated Computational Structures Modeling.
My project involves the development of visualization techniques to make models in simulations look and react more realistically, which will impact basic research in nuclear physics, aeronautic simulations and health care applications. In this poster, I will present my recent work on the CBC3D Slicer extension and the I2Mtool. CBC3D is one of CRTC’s 3D image-driven grid generation software used in Medical Image Computing applications. The CBC3D module has been implemented as an extension within the 3D Slicer package for visualization and image analysis from Harvard Medical School. The CBC3D 3D Slicer extension can generate high quality tetrahedral meshes from brain labeled images. Some features that will be added to the Image-to-Mesh Conversion tool (I2MTool) are: (i) a feature to display a multi-material (or tissue) labeled mesh, (ii) a loading bar to increase the tool’s user-friendliness, and (iii) a feature that will allow the user to cut a cross-section of a mesh to view its interior.
Faculty Advisor/Mentor
Nikos P. Chrisochoides
Presentation Type
Poster
Disciplines
Computer Sciences
Session Title
Poster Session
Location
Learning Commons @ Perry Library, Northwest Atrium
Start Date
2-2-2019 8:00 AM
End Date
2-2-2019 12:30 PM
Image-to-Mesh Conversion Tool (I2MTool) for Image-Driven Simulations
Learning Commons @ Perry Library, Northwest Atrium
Grid Generation is a critical component for many (bio-)engineering and science applications. The goal of my research project is to improve upon the current Image-to-Mesh Conversion tool (I2MTool), created by the Center for Real-time Computing (CRTC), for image-driven visualization. The I2MTool could be proven beneficial in a spectrum of disciplines that spans from Nuclear Femtography and Multiscale Materials and Structures Modeling to Finite Element (FE) analysis for NASA’s Computational Fluid Dynamics (CFD) 2030 Vision and Vision 2040 for Integrated Computational Structures Modeling.
My project involves the development of visualization techniques to make models in simulations look and react more realistically, which will impact basic research in nuclear physics, aeronautic simulations and health care applications. In this poster, I will present my recent work on the CBC3D Slicer extension and the I2Mtool. CBC3D is one of CRTC’s 3D image-driven grid generation software used in Medical Image Computing applications. The CBC3D module has been implemented as an extension within the 3D Slicer package for visualization and image analysis from Harvard Medical School. The CBC3D 3D Slicer extension can generate high quality tetrahedral meshes from brain labeled images. Some features that will be added to the Image-to-Mesh Conversion tool (I2MTool) are: (i) a feature to display a multi-material (or tissue) labeled mesh, (ii) a loading bar to increase the tool’s user-friendliness, and (iii) a feature that will allow the user to cut a cross-section of a mesh to view its interior.