Volumetric harmonic brain mapping

Yalin Wang; Xianfeng Gu; Tony F. Chan; Paul M. Thompson; Shing Tung Yau

Volumetric harmonic brain mapping

Yalin Wang^*, Xianfeng Gu, Tony F. Chan, Paul M. Thompson, Shing Tung Yau

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

37 Scopus citations

Abstract

In [1], we developed two different techniques to study volume mapping problem in Computer Graphics. The first one is to find a harmonic map from a 3 manifold to a 3D solid sphere and the second is a sphere carving algorithm which calculates the simplicial decomposition of volume adapted to surfaces. In this paper, we apply these two techniques to brain mapping problem. We use a tetrahedral mesh to represent the brain volume. The experimental results on both synthetic and brain volume data are reported. We suggest that 3D harmonic mapping of brain volumes to a solid sphere can provide a canonical coordinate system for feature identification and segmentation, as well as anatomical normalization.

Original language	English (US)
Title of host publication	2004 2nd IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	Macro to Nano
Pages	1275-1278
Number of pages	4
State	Published - 2004
Externally published	Yes
Event	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States Duration: Apr 15 2004 → Apr 18 2004

Publication series

Name	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Volume	2

Conference

Conference	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Country/Territory	United States
City	Arlington, VA
Period	04/15/04 → 04/18/04

ASJC Scopus subject areas

General Engineering

Cite this

@inproceedings{83fc53aefe5d4cf9b69fc47b36d5f9bf,

title = "Volumetric harmonic brain mapping",

abstract = "In [1], we developed two different techniques to study volume mapping problem in Computer Graphics. The first one is to find a harmonic map from a 3 manifold to a 3D solid sphere and the second is a sphere carving algorithm which calculates the simplicial decomposition of volume adapted to surfaces. In this paper, we apply these two techniques to brain mapping problem. We use a tetrahedral mesh to represent the brain volume. The experimental results on both synthetic and brain volume data are reported. We suggest that 3D harmonic mapping of brain volumes to a solid sphere can provide a canonical coordinate system for feature identification and segmentation, as well as anatomical normalization.",

author = "Yalin Wang and Xianfeng Gu and Chan, {Tony F.} and Thompson, {Paul M.} and Yau, {Shing Tung}",

year = "2004",

language = "English (US)",

isbn = "0780383885",

series = "2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano",

pages = "1275--1278",

booktitle = "2004 2nd IEEE International Symposium on Biomedical Imaging",

note = "2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano ; Conference date: 15-04-2004 Through 18-04-2004",

}

Wang, Y, Gu, X, Chan, TF, Thompson, PM & Yau, ST 2004, Volumetric harmonic brain mapping. in 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, vol. 2, pp. 1275-1278, 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, Arlington, VA, United States, 04/15/04.

Volumetric harmonic brain mapping. / Wang, Yalin; Gu, Xianfeng; Chan, Tony F. et al.
2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. 2004. p. 1275-1278 (2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Volumetric harmonic brain mapping

AU - Wang, Yalin

AU - Gu, Xianfeng

AU - Chan, Tony F.

AU - Thompson, Paul M.

AU - Yau, Shing Tung

PY - 2004

Y1 - 2004

N2 - In [1], we developed two different techniques to study volume mapping problem in Computer Graphics. The first one is to find a harmonic map from a 3 manifold to a 3D solid sphere and the second is a sphere carving algorithm which calculates the simplicial decomposition of volume adapted to surfaces. In this paper, we apply these two techniques to brain mapping problem. We use a tetrahedral mesh to represent the brain volume. The experimental results on both synthetic and brain volume data are reported. We suggest that 3D harmonic mapping of brain volumes to a solid sphere can provide a canonical coordinate system for feature identification and segmentation, as well as anatomical normalization.

AB - In [1], we developed two different techniques to study volume mapping problem in Computer Graphics. The first one is to find a harmonic map from a 3 manifold to a 3D solid sphere and the second is a sphere carving algorithm which calculates the simplicial decomposition of volume adapted to surfaces. In this paper, we apply these two techniques to brain mapping problem. We use a tetrahedral mesh to represent the brain volume. The experimental results on both synthetic and brain volume data are reported. We suggest that 3D harmonic mapping of brain volumes to a solid sphere can provide a canonical coordinate system for feature identification and segmentation, as well as anatomical normalization.

UR - http://www.scopus.com/inward/record.url?scp=17144365494&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:17144365494

SN - 0780383885

SN - 9780780383883

T3 - 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano

SP - 1275

EP - 1278

BT - 2004 2nd IEEE International Symposium on Biomedical Imaging

T2 - 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano

Y2 - 15 April 2004 through 18 April 2004

ER -

Volumetric harmonic brain mapping

Abstract

Publication series

Conference

ASJC Scopus subject areas

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