Volumetric data exploration using interval volume

Issei Fujishiro; Yuji Maeda; Hiroshi Sato; Yuriko Takeshima

doi:10.1109/2945.506226

Volumetric data exploration using interval volume

Issei Fujishiro, Yuji Maeda, Hiroshi Sato, Yuriko Takeshima

Research output: Contribution to journal › Article › peer-review

49 Citations (Scopus)

Abstract

A new type of geometric model called Interval volume for volumetric data exploration is presented. An interval volume represents a three-dimensional subvolume for which the associate scalar values lie within a user-specified interval, and provides one of the promising approaches to solid fitting, which is an extended concept of traditional surface fitting. A well known isosurfacing algorithm called Marching Cubes is extended to obtain a solid fitting algorithm, which extracts from a given volumetric data set a high resolution, polyhedral solid data structure of an interval volume. Branch-on-Need Octree is used as an auxiliary data structure to accelerate the extraction process. A variety of interval volume rendering methods and principal related operations, including measurements and focusing, are also presented. The effectiveness of measurement-coupled visualization capabilities of the presented approach is demonstrated by application to visualizing a four-dimensional simulated data from atomic collision research.

Original language	English
Pages (from-to)	144-155
Number of pages	12
Journal	IEEE Transactions on Visualization and Computer Graphics
Volume	2
Issue number	2
DOIs	https://doi.org/10.1109/2945.506226
Publication status	Published - 1996
Externally published	Yes

Keywords

Atomic collision
Isosurface
Isosurfacing
Marching cubes
Surface fitting
Volume rendering
Volume visualization

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Computer Graphics and Computer-Aided Design

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10.1109/2945.506226

Cite this

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title = "Volumetric data exploration using interval volume",

abstract = "A new type of geometric model called Interval volume for volumetric data exploration is presented. An interval volume represents a three-dimensional subvolume for which the associate scalar values lie within a user-specified interval, and provides one of the promising approaches to solid fitting, which is an extended concept of traditional surface fitting. A well known isosurfacing algorithm called Marching Cubes is extended to obtain a solid fitting algorithm, which extracts from a given volumetric data set a high resolution, polyhedral solid data structure of an interval volume. Branch-on-Need Octree is used as an auxiliary data structure to accelerate the extraction process. A variety of interval volume rendering methods and principal related operations, including measurements and focusing, are also presented. The effectiveness of measurement-coupled visualization capabilities of the presented approach is demonstrated by application to visualizing a four-dimensional simulated data from atomic collision research.",

keywords = "Atomic collision, Isosurface, Isosurfacing, Marching cubes, Surface fitting, Volume rendering, Volume visualization",

author = "Issei Fujishiro and Yuji Maeda and Hiroshi Sato and Yuriko Takeshima",

note = "Funding Information: Part of this work has been performed for the research project, called AMADEUS (Advanced Microscopic Analysis and Detailed Evaluation System for Complex Phenomena in Nuclear Reactors), which has been conducted by the Institute of Applied Energy under contract with the Ministry of International Trade and Industry of Japan. Funding Information: Early work was motivated by stimulating discussions with Professor Arie E. Kaufman and Dr. Xiaoyang Mao while Fu- jishiro stayed at the State University of New York (SUNY) at Stony Brook, under the research scholarship 5-WAKA-36 from the Ministry of Education, Culture and Science of Japan.",

year = "1996",

doi = "10.1109/2945.506226",

language = "English",

volume = "2",

pages = "144--155",

journal = "IEEE Transactions on Visualization and Computer Graphics",

issn = "1077-2626",

publisher = "IEEE Computer Society",

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T1 - Volumetric data exploration using interval volume

AU - Fujishiro, Issei

AU - Maeda, Yuji

AU - Sato, Hiroshi

AU - Takeshima, Yuriko

N1 - Funding Information: Part of this work has been performed for the research project, called AMADEUS (Advanced Microscopic Analysis and Detailed Evaluation System for Complex Phenomena in Nuclear Reactors), which has been conducted by the Institute of Applied Energy under contract with the Ministry of International Trade and Industry of Japan. Funding Information: Early work was motivated by stimulating discussions with Professor Arie E. Kaufman and Dr. Xiaoyang Mao while Fu- jishiro stayed at the State University of New York (SUNY) at Stony Brook, under the research scholarship 5-WAKA-36 from the Ministry of Education, Culture and Science of Japan.

PY - 1996

Y1 - 1996

N2 - A new type of geometric model called Interval volume for volumetric data exploration is presented. An interval volume represents a three-dimensional subvolume for which the associate scalar values lie within a user-specified interval, and provides one of the promising approaches to solid fitting, which is an extended concept of traditional surface fitting. A well known isosurfacing algorithm called Marching Cubes is extended to obtain a solid fitting algorithm, which extracts from a given volumetric data set a high resolution, polyhedral solid data structure of an interval volume. Branch-on-Need Octree is used as an auxiliary data structure to accelerate the extraction process. A variety of interval volume rendering methods and principal related operations, including measurements and focusing, are also presented. The effectiveness of measurement-coupled visualization capabilities of the presented approach is demonstrated by application to visualizing a four-dimensional simulated data from atomic collision research.

AB - A new type of geometric model called Interval volume for volumetric data exploration is presented. An interval volume represents a three-dimensional subvolume for which the associate scalar values lie within a user-specified interval, and provides one of the promising approaches to solid fitting, which is an extended concept of traditional surface fitting. A well known isosurfacing algorithm called Marching Cubes is extended to obtain a solid fitting algorithm, which extracts from a given volumetric data set a high resolution, polyhedral solid data structure of an interval volume. Branch-on-Need Octree is used as an auxiliary data structure to accelerate the extraction process. A variety of interval volume rendering methods and principal related operations, including measurements and focusing, are also presented. The effectiveness of measurement-coupled visualization capabilities of the presented approach is demonstrated by application to visualizing a four-dimensional simulated data from atomic collision research.

KW - Atomic collision

KW - Isosurface

KW - Isosurfacing

KW - Marching cubes

KW - Surface fitting

KW - Volume rendering

KW - Volume visualization

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Volumetric data exploration using interval volume

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Keywords

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