The ability of diffusion tensor imaging (DTI) to probe the ultrastructural
properties of biological tissues presents new possibilities for
DTI-based tissue characterization, with the potential for greater
pathologic specificity than conventional imaging methods. This is
urgently needed in the diagnosis and treatment of cerebral neoplasms,
where clinical decisions depend on the ability to discriminate tumor-involved
from uninvolved tissue, a major shortcoming of conventional imaging.
Several investigators have attempted to make this determination
on the basis of the apparent diffusion coefficient (ADC) or the
fractional anisotropy (FA), with mixed results. The directionally
encoded color map, with hues reflecting tensor orientation and intensity
weighted by FA, provides an aesthetic and informative summary of
DTI features throughout the brain in an easily interpreted format.
The use of these maps is becoming increasingly common in both basic
and clinical research, as well as in purely clinical settings. These
examples serve to demonstrate our approach to the quantitation of
regional diffusion tensor distributions using directional statistical
methods.
%0 Journal Article
%1 Field2005
%A Field, Aaron S
%A Wu, Yu-Chien
%A Alexander, Andrew L
%D 2005
%J Ann N Y Acad Sci
%K Myelinated, Diffusion, 16394157 Neural Neoplasms, Imaging, Body Resonance Pathways, Nerve Water, Magnetic Fibers, Anisotropy, Brain Mapping, Diffusion Humans, Brain,
%P 193--201
%R 10.1196/annals.1340.037
%T Principal diffusion direction in peritumoral fiber tracts: Color
map patterns and directional statistics.
%U http://dx.doi.org/10.1196/annals.1340.037
%V 1064
%X The ability of diffusion tensor imaging (DTI) to probe the ultrastructural
properties of biological tissues presents new possibilities for
DTI-based tissue characterization, with the potential for greater
pathologic specificity than conventional imaging methods. This is
urgently needed in the diagnosis and treatment of cerebral neoplasms,
where clinical decisions depend on the ability to discriminate tumor-involved
from uninvolved tissue, a major shortcoming of conventional imaging.
Several investigators have attempted to make this determination
on the basis of the apparent diffusion coefficient (ADC) or the
fractional anisotropy (FA), with mixed results. The directionally
encoded color map, with hues reflecting tensor orientation and intensity
weighted by FA, provides an aesthetic and informative summary of
DTI features throughout the brain in an easily interpreted format.
The use of these maps is becoming increasingly common in both basic
and clinical research, as well as in purely clinical settings. These
examples serve to demonstrate our approach to the quantitation of
regional diffusion tensor distributions using directional statistical
methods.
@article{Field2005,
abstract = {The ability of diffusion tensor imaging (DTI) to probe the ultrastructural
properties of biological tissues presents new possibilities for
DTI-based tissue characterization, with the potential for greater
pathologic specificity than conventional imaging methods. This is
urgently needed in the diagnosis and treatment of cerebral neoplasms,
where clinical decisions depend on the ability to discriminate tumor-involved
from uninvolved tissue, a major shortcoming of conventional imaging.
Several investigators have attempted to make this determination
on the basis of the apparent diffusion coefficient (ADC) or the
fractional anisotropy (FA), with mixed results. The directionally
encoded color map, with hues reflecting tensor orientation and intensity
weighted by FA, provides an aesthetic and informative summary of
DTI features throughout the brain in an easily interpreted format.
The use of these maps is becoming increasingly common in both basic
and clinical research, as well as in purely clinical settings. These
examples serve to demonstrate our approach to the quantitation of
regional diffusion tensor distributions using directional statistical
methods.},
added-at = {2007-01-10T11:32:01.000+0100},
author = {Field, Aaron S and Wu, Yu-Chien and Alexander, Andrew L},
biburl = {https://www.bibsonomy.org/bibtex/2be534b7b92903c0d418188d055f188db/bmeyer},
description = {Diffusion Tensor Imaging (DTI)},
doi = {10.1196/annals.1340.037},
interhash = {5e437b4efed70a03c1702bd1558f8d02},
intrahash = {be534b7b92903c0d418188d055f188db},
journal = {Ann N Y Acad Sci},
keywords = {Myelinated, Diffusion, 16394157 Neural Neoplasms, Imaging, Body Resonance Pathways, Nerve Water, Magnetic Fibers, Anisotropy, Brain Mapping, Diffusion Humans, Brain,},
month = Dec,
owner = {bzfbmeye},
pages = {193--201},
pii = {1064/1/193},
pmid = {16394157},
timestamp = {2007-01-10T11:32:01.000+0100},
title = {Principal diffusion direction in peritumoral fiber tracts: Color
map patterns and directional statistics.},
url = {http://dx.doi.org/10.1196/annals.1340.037},
volume = 1064,
year = 2005
}