The “peeking” effect in supervised feature selection on diffusion tensor imaging data

S Diciotti, S Ciulli, M Mascalchi… - American Journal of …, 2013 - Am Soc Neuroradiology
We read with great interest the article by Haller et al1 in the February 2013 issue of the
American Journal of Neuroradiology. The authors used whole-brain diffusion tensor imaging …

Minimum SNR and acquisition for bias-free estimation of fractional anisotropy in diffusion tensor imaging—a comparison of two analytical techniques and field …

Y Seo, ZJ Wang, MC Morriss, NK Rollins - Magnetic resonance imaging, 2012 - Elsevier
Although it is known that low signal-to-noise ratio (SNR) can affect tensor metrics, few
studies reporting disease or treatment effects on fractional anisotropy (FA) report SNR; the …

[HTML][HTML] The future for diffusion tensor imaging in neuropsychiatry

KH Taber, C Pierpaoli, SE Rose… - The Journal of …, 2002 - Am Neuropsych Assoc
Cover. Coronal diffusion tensor image (DTI) at the level of brainstem in which fiber tracts are
color-coded by direction as indicated by the colored triangles (superior–inferior, blue; left …

Diffusion tensor MR imaging of gray matter in different multiple sclerosis phenotypes

AO Nusbaum - American journal of neuroradiology, 2002 - Am Soc Neuroradiology
In this issue of the AJNR, Bozzali et al describe an application of diffusion tensor imaging
(DTI) in the evaluation of gray matter abnormality in different clinical phenotypes of multiple …

Exploring white matter microstructure: new insights from diffusion tensor imaging

CM Filley - Neurology, 2009 - AAN Enterprises
White matter, occupying approximately half the brain, has only lately begun to receive the
attention justified by its volume. Normal anatomy remains incompletely understood, although …

Diffusion tensor imaging at the crossroads: fiber tracking meets tissue characterization in brain tumors

AS Field - American journal of neuroradiology, 2005 - Am Soc Neuroradiology
If my cursory and unscientific search of Medline is any indication, the growth of interest in
diffusion tensor imaging (DTI) is showing no signs of slowing: entering “diffusion tensor” in …

[HTML][HTML] Diffusion tensor imaging correlates of concussion related cognitive impairment

AC Gonzalez, M Kim, Z Keser, L Ibrahim… - Frontiers in …, 2021 - frontiersin.org
Introduction: Cognitive impairment after concussion has been widely reported, but there is
no reliable imaging biomarker that predicts the severity of cognitive decline post-concussion …

Feature selection improves the accuracy of classifying Alzheimer disease using diffusion tensor images

A Demirhan, TM Nir… - 2015 IEEE 12th …, 2015 - ieeexplore.ieee.org
Diffusion tensor imaging (DTI) has recently been added to several large-scale studies of
Alzheimer's disease (AD), such as the Alzheimer's Disease Neuroimaging Initiative (ADNI) …

Harmonization of multi-site diffusion tensor imaging data

JP Fortin, D Parker, B Tunç, T Watanabe, MA Elliott… - Neuroimage, 2017 - Elsevier
Diffusion tensor imaging (DTI) is a well-established magnetic resonance imaging (MRI)
technique used for studying microstructural changes in the white matter. As with many other …

Multicenter stability of diffusion tensor imaging measures: a European clinical and physical phantom study

SJ Teipel, S Reuter, B Stieltjes… - Psychiatry Research …, 2011 - Elsevier
Diffusion tensor imaging (DTI) detects white matter damage in neuro-psychiatric disorders,
but data on reliability of DTI measures across more than two scanners are still missing. In …