An Introduction to Visualization of Diffusion Tensor Imaging and Its Applications
Author(s) -
Anna Vilanova,
S. Zhang,
Gordon Kindlmann,
David H. Laidlaw
Publication year - 2006
Publication title -
mathematics and visualization
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.207
H-Index - 23
eISSN - 2197-666X
pISSN - 1612-3786
DOI - 10.1007/3-540-31272-2_7
Subject(s) - diffusion mri , visualization , white matter , tractography , tensor (intrinsic definition) , diffusion , fractional anisotropy , computer science , artificial intelligence , physics , mathematics , magnetic resonance imaging , medicine , radiology , geometry , thermodynamics
Water diffusion is anisotropic in organized tissues such as white matter and muscle. Diffusion tensor imaging (DTI), a non-invasive MR technique, measures water self-diffusion rates and thus gives an indication of the underlying tissue microstructure. The diffusion rate is often expressed by a second-order tensor. Insightful DTI visualization is challenging because of the multivariate nature and the complex spatial relationships in a diffusion tensor field. This chapter surveys the different visualization techniques that have been developed for DTI and compares their main characteristics and drawbacks. We also discuss some of the many biomedical applications in which DTI helps extend our understanding or improve clinical procedures. We conclude with an overview of open problems and research directions.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom