Literature DB >> 11697935

Validation of diffusion tensor magnetic resonance axonal fiber imaging with registered manganese-enhanced optic tracts.

C P Lin1, W Y Tseng, H C Cheng, J H Chen.   

Abstract

Noninvasive mapping of white matter tracts using diffusion tensor magnetic resonance imaging (DTMRI) is potentially useful in revealing anatomical connectivity in the human brain. However, a gold standard for validating DTMRI in defining axonal fiber orientation is still lacking. This study presents the first validation of the principal eigenvector of the diffusion tensor in defining axonal fiber orientation by superimposing DTMRI with manganese-enhanced MRI of optic tracts. A rat model was developed in which optic tracts were enhanced by manganese ions. Manganese ion (Mn(2+)) is a potent T1-shortening agent and can be uptaken and transported actively along the axon. Based on this property, we obtained enhanced optic tracts with a T1-weighted spin-echo sequence 10 h after intravitreal injection of Mn(2+). The images were compared with DTMRI acquired with exact spatial registration. Deviation angles between tangential vectors of the enhanced tracts and the principal eigenvectors of the diffusion tensor were then computed pixel by pixel. We found that under signal-to-noise (SNR) of 30, the variance of deviation angles was (13.27 degrees). In addition, the dependence of this variance on SNR obeys stochastic behavior if SNR is greater than 10. Based on this relation, we estimated that an rms deviation of less than 10 degrees could be achieved with DTMRI when SNR is 40 or greater. In conclusion, our method bypasses technical difficulties in conventional histological approach and provides an in vivo gold standard for validating DTMRI in mapping white matter tracts. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11697935     DOI: 10.1006/nimg.2001.0882

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


  40 in total

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2.  Corticospinal tractography with morphological, functional and diffusion tensor MRI: a comparative study of four deterministic algorithms used in clinical routine.

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Journal:  Surg Radiol Anat       Date:  2012-03-18       Impact factor: 1.246

3.  Comparison of functional connectivity in default mode and sensorimotor networks at 3 and 7T.

Authors:  Joanne R Hale; Matthew J Brookes; Emma L Hall; Johanna M Zumer; Claire M Stevenson; Susan T Francis; Peter G Morris
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Review 4.  Principles and limitations of computational algorithms in clinical diffusion tensor MR tractography.

Authors:  H-W Chung; M-C Chou; C-Y Chen
Journal:  AJNR Am J Neuroradiol       Date:  2010-03-18       Impact factor: 3.825

5.  A kernel-based approach for user-guided fiber bundling using diffusion tensor data.

Authors:  Raúl San José Estépar; Marek Kubicki; Martha Shenton; Carl-Fredrik Westin
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

Review 6.  Examination of spinal cord tissue architecture with magnetic resonance diffusion tensor imaging.

Authors:  Stephan E Maier
Journal:  Neurotherapeutics       Date:  2007-07       Impact factor: 7.620

7.  In vivo imaging of human breast cancer mouse model with high level expression of calcium sensing receptor at 3T.

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Journal:  Eur Radiol       Date:  2011-09-24       Impact factor: 5.315

8.  Corticospinal tract-sparing intensity-modulated radiotherapy treatment planning.

Authors:  Hiroshi Igaki; Akira Sakumi; Akitake Mukasa; Kuniaki Saito; Akira Kunimatsu; Yoshitaka Masutani; Shunya Hanakita; Kenji Ino; Akihiro Haga; Keiichi Nakagawa; Kuni Ohtomo
Journal:  Rep Pract Oncol Radiother       Date:  2014-07-15

9.  Q-ball imaging of macaque white matter architecture.

Authors:  David S Tuch; Jonathan J Wisco; Mark H Khachaturian; Leeland B Ekstrom; Rolf Kötter; Wim Vanduffel
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-05-29       Impact factor: 6.237

10.  Quantitative histological validation of diffusion MRI fiber orientation distributions in the rat brain.

Authors:  Trygve B Leergaard; Nathan S White; Alex de Crespigny; Ingeborg Bolstad; Helen D'Arceuil; Jan G Bjaalie; Anders M Dale
Journal:  PLoS One       Date:  2010-01-07       Impact factor: 3.240

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