TY - GEN
T1 - Diffusion-Based Tractography
T2 - 5th Eurographics / IEEE VGTC International Workshop on Volume Graphics, VG@SIGGRAPH 2006
AU - Muraki, S.
AU - Fujishiro, I.
AU - Suzuki, Y.
AU - Takeshima, Y.
N1 - Funding Information:
Part of this work has been financially supported by ACT-JST, and JSPS under Grant-in-Aid for Scientific Research (B) 18300026. We have benefited from a pilot DBT code implemented by Shoko Ando in an early stage of the work.
Funding Information:
Part of this work has been financially supported by ACTJST, and JSPS under Grant-in-Aid for Scientific Research (B) 18300026. We have benefited from a pilot DBT code implemented by Shoko Ando in an early stage of the work.
Publisher Copyright:
© The Eurographics Association 2006.
PY - 2006
Y1 - 2006
N2 - In this paper, we present a novel method, called diffusion-based tractography (DBT), for visualizing diffusion tensor magnetic resonance imaging datasets. The DBT method generates 3D textures similar to the line integral convolution (LIC) by smearing 3D random dot textures. In contrast to the LIC method, which only traces a single direction, the DBT method takes into account both linear and planar diffusion components, and suppresses excessive blur by an analysis of three decomposed components. We will demonstrate that the DBT method is effective for visualizing dense white matter connectivity from 3D diffusion tensor fields and that it is suitable for hardware acceleration using commodity graphics processors.
AB - In this paper, we present a novel method, called diffusion-based tractography (DBT), for visualizing diffusion tensor magnetic resonance imaging datasets. The DBT method generates 3D textures similar to the line integral convolution (LIC) by smearing 3D random dot textures. In contrast to the LIC method, which only traces a single direction, the DBT method takes into account both linear and planar diffusion components, and suppresses excessive blur by an analysis of three decomposed components. We will demonstrate that the DBT method is effective for visualizing dense white matter connectivity from 3D diffusion tensor fields and that it is suitable for hardware acceleration using commodity graphics processors.
UR - http://www.scopus.com/inward/record.url?scp=67649644149&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67649644149&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:67649644149
T3 - 5th Eurographics / IEEE VGTC International Workshop on Volume Graphics, VG@SIGGRAPH 2006
SP - 119
EP - 126
BT - 5th Eurographics / IEEE VGTC International Workshop on Volume Graphics, VG@SIGGRAPH 2006
A2 - Moeller, Torsten
A2 - Machiraju, Raghu
A2 - Ertl, T.
A2 - Chen, M.
PB - The Eurographics Association
Y2 - 30 July 2006 through 31 July 2006
ER -