Literature DB >> 17208014

Diffusion tensor imaging segmentation of white matter structures using a Reproducible Objective Quantification Scheme (ROQS).

Sumit N Niogi1, Pratik Mukherjee, Bruce D McCandliss.   

Abstract

Reproducible Objective Quantification Scheme (ROQS) is a novel method for regional white matter measurements of diffusion tensor imaging (DTI) parameters that overcomes the limitations of previous approaches for analyzing large cohorts of subjects reliably. ROQS is a semi-automated technique that exploits the fiber orientation information from the diffusion tensor in conjunction with a binary masking and chain-linking algorithm to segment anatomically distinct white matter tracts for subsequent quantitative analysis of DTI parameters such as fractional anisotropy and apparent diffusion coefficient. When applied to 3-T whole-brain DTI of normal adult volunteers, ROQS is shown to segment the corpus callosum much faster than manual region of interest (ROI) delineation, and with better reproducibility and accuracy.

Mesh:

Year:  2007        PMID: 17208014      PMCID: PMC2707997          DOI: 10.1016/j.neuroimage.2006.10.040

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  35 in total

1.  Fiber tract-based atlas of human white matter anatomy.

Authors:  Setsu Wakana; Hangyi Jiang; Lidia M Nagae-Poetscher; Peter C M van Zijl; Susumu Mori
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2.  Spatial normalization of diffusion tensor MRI using multiple channels.

Authors:  Hae-Jeong Park; Marek Kubicki; Martha E Shenton; Alexandre Guimond; Robert W McCarley; Stephan E Maier; Ron Kikinis; Ferenc A Jolesz; Carl-Fredrik Westin
Journal:  Neuroimage       Date:  2003-12       Impact factor: 6.556

3.  Fiber tracking using magnetic resonance diffusion tensor imaging and its applications to human brain development.

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Journal:  Ment Retard Dev Disabil Res Rev       Date:  2003

4.  Run-length chain coding and scalable computation of a shape's moments using reconfigurable optical buses.

Authors:  Chin-Hsiung Wu; Shi-Jinn Horng
Journal:  IEEE Trans Syst Man Cybern B Cybern       Date:  2004-04

5.  MR diffusion tensor spectroscopy and imaging.

Authors:  P J Basser; J Mattiello; D LeBihan
Journal:  Biophys J       Date:  1994-01       Impact factor: 4.033

6.  Differences between gray matter and white matter water diffusion in stroke: diffusion-tensor MR imaging in 12 patients.

Authors:  P Mukherjee; M M Bahn; R C McKinstry; J S Shimony; T S Cull; E Akbudak; A Z Snyder; T E Conturo
Journal:  Radiology       Date:  2000-04       Impact factor: 11.105

7.  Semiautomatic brain region extraction: a method of parcellating brain regions from structural magnetic resonance images.

Authors:  L A Dade; F Q Gao; N Kovacevic; P Roy; C Rockel; C M O'Toole; N J Lobaugh; A Feinstein; B Levine; S E Black
Journal:  Neuroimage       Date:  2004-08       Impact factor: 6.556

8.  Diffusion tensor imaging as potential biomarker of white matter injury in diffuse axonal injury.

Authors:  Thierry A G M Huisman; Lee H Schwamm; Pamela W Schaefer; Walter J Koroshetz; Neetha Shetty-Alva; Yelda Ozsunar; Ona Wu; A Gregory Sorensen
Journal:  AJNR Am J Neuroradiol       Date:  2004-03       Impact factor: 3.825

9.  Diffusion tensor imaging in patients with epilepsy and malformations of cortical development.

Authors:  S H Eriksson; F J Rugg-Gunn; M R Symms; G J Barker; J S Duncan
Journal:  Brain       Date:  2001-03       Impact factor: 13.501

10.  Diffusion tensor imaging of cryptogenic and acquired partial epilepsies.

Authors:  F J Rugg-Gunn; S H Eriksson; M R Symms; G J Barker; J S Duncan
Journal:  Brain       Date:  2001-03       Impact factor: 13.501

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  22 in total

1.  BDNF val66met polymorphism, white matter abnormalities and remission of geriatric depression.

Authors:  George S Alexopoulos; Charles E Glatt; Matthew J Hoptman; Dora Kanellopoulos; Christopher F Murphy; Robert E Kelly; Sarah S Morimoto; Kelvin O Lim; Faith M Gunning
Journal:  J Affect Disord       Date:  2010-03-25       Impact factor: 4.839

2.  Psychological dysregulation, white matter disorganization and substance use disorders in adolescence.

Authors:  Duncan B Clark; Tammy Chung; Dawn L Thatcher; Stefan Pajtek; Elizabeth C Long
Journal:  Addiction       Date:  2011-10-07       Impact factor: 6.526

Review 3.  Diffusion tensor MR imaging and fiber tractography: technical considerations.

Authors:  P Mukherjee; S W Chung; J I Berman; C P Hess; R G Henry
Journal:  AJNR Am J Neuroradiol       Date:  2008-03-13       Impact factor: 3.825

Review 4.  Application of advanced neuroimaging modalities in pediatric traumatic brain injury.

Authors:  Stephen Ashwal; Karen A Tong; Nirmalya Ghosh; Brenda Bartnik-Olson; Barbara A Holshouser
Journal:  J Child Neurol       Date:  2014-06-22       Impact factor: 1.987

5.  White Matter Segmentation Algorithm for DTI Images Based on Super-Pixel Full Convolutional Network.

Authors:  Yiping Mu; Qi Li; Yang Zhang
Journal:  J Med Syst       Date:  2019-08-12       Impact factor: 4.460

6.  White matter integrity as a link in the association between motivation to abstain and treatment outcome in adolescent substance users.

Authors:  Tammy Chung; Stefan Pajtek; Duncan B Clark
Journal:  Psychol Addict Behav       Date:  2012-02-27

Review 7.  White matter development in adolescence: the influence of puberty and implications for affective disorders.

Authors:  Cecile D Ladouceur; Jiska S Peper; Eveline A Crone; Ronald E Dahl
Journal:  Dev Cogn Neurosci       Date:  2012-01       Impact factor: 6.464

8.  Semi-automated 3D segmentation of major tracts in the rat brain: comparing DTI with standard histological methods.

Authors:  Erika Gyengesi; Evan Calabrese; Matthew C Sherrier; G Allan Johnson; George Paxinos; Charles Watson
Journal:  Brain Struct Funct       Date:  2013-03-01       Impact factor: 3.270

9.  Insula white matter volume linked to binge drinking frequency through enhancement motives in treated adolescents.

Authors:  Tammy Chung; Duncan B Clark
Journal:  Alcohol Clin Exp Res       Date:  2014-06-13       Impact factor: 3.455

10.  Individual Differences in Distinct Components of Attention are Linked to Anatomical Variations in Distinct White Matter Tracts.

Authors:  Sumit Niogi; Pratik Mukherjee; Jamshid Ghajar; Bruce D McCandliss
Journal:  Front Neuroanat       Date:  2010-02-22       Impact factor: 3.856

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