Compression, Segmentation, and Modeling of Large-Scale Filamentary Volumetric Data

I
IEEE_VIS
2004
15th IEEE Visualization 2004 (VIS 2004)
Abstract - Compression, Segmentation, and Modeling of Large-Scale Filamentary Volumetric Data

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15th IEEE Visualization 2004 (VIS 2004)

Compression, Segmentation, and Modeling of Large-Scale Filamentary Volumetric Data (PDF)

Austin, Texas

October 10-October 15

ISBN: 0-7803-8788-0

	ASCII Text	x
	Bruce H. McCormick, Purna Doddapaneni, David Mayerich, Zeki Melek, John Keyser, "Compression, Segmentation, and Modeling of Large-Scale Filamentary Volumetric Data," Visualization Conference, IEEE, pp. 31p, 15th IEEE Visualization 2004 (VIS 2004), 2004.

	BibTex	x
	@article{ 10.1109/VISUAL.2004.16, author = {Bruce H. McCormick and Purna Doddapaneni and David Mayerich and Zeki Melek and John Keyser}, title = {Compression, Segmentation, and Modeling of Large-Scale Filamentary Volumetric Data}, journal ={Visualization Conference, IEEE}, volume = {0}, year = {2004}, isbn = {0-7803-8788-0}, pages = {31p}, doi = {http://doi.ieeecomputersociety.org/10.1109/VISUAL.2004.16}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Visualization Conference, IEEE TI - Compression, Segmentation, and Modeling of Large-Scale Filamentary Volumetric Data SN - 0-7803-8788-0 SP EP A1 - Bruce H. McCormick, A1 - Purna Doddapaneni, A1 - David Mayerich, A1 - Zeki Melek, A1 - John Keyser, PY - 2004 KW - Applications of volume graphics and volume visualization KW - compressed volume data VL - 0 JA - Visualization Conference, IEEE ER -

Bruce H. McCormick, Texas A&M University

Purna Doddapaneni, Texas A&M University

David Mayerich, Texas A&M University

Zeki Melek, Texas A&M University

John Keyser, Texas A&M University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/VISUAL.2004.16

We describe a method for processing large amounts of volumetric data collected from a Knife Edge Scanning Microscope (KESM). The neuronal data that we acquire consists of thin, branching structures extending over very large regions that prior volumetric representations have difficulty dealing with efficiently. Since the full volume data set can be extremely large, on-the-fly processing of the data is necessary.

Index Terms:

Applications of volume graphics and volume visualization, compressed volume data

Citation:

Bruce H. McCormick, Purna Doddapaneni, David Mayerich, Zeki Melek, John Keyser, "Compression, Segmentation, and Modeling of Large-Scale Filamentary Volumetric Data," ieee_vis, pp.31p, 15th IEEE Visualization 2004 (VIS 2004), 2004

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