Literature DB >> 16511673

A modular framework for development and interlaboratory sharing and validation of diffusion tensor tractography algorithms.

Jon F Nielsen1.   

Abstract

This Technical Note describes a novel modular framework for development and interlaboratory distribution and validation of 3D tractography algorithms based on in vivo diffusion tensor imaging (DTI) measurements. The proposed framework allows individual MRI research centers to benefit from new tractography algorithms developed at other independent centers by "plugging" new tractography modules directly into their own custom DTI software tools, such as existing graphical user interfaces (GUI) for visualizing brain white matter pathways. The proposed framework is based on the Java 3D programming platform, which provides an object-oriented programming (OOP) model and independence of computer hardware configuration and operating system. To demonstrate the utility of the proposed approach, a complete GUI for interactive DTI tractography was developed, along with two separate and interchangeable modules that implement two different tractography algorithms. Although the application discussed here relates to DTI tractography, the programming concepts presented here should be of interest to anyone who wishes to develop platform-independent GUI applications for interactive 3D visualization.

Mesh:

Year:  2006        PMID: 16511673      PMCID: PMC3045185          DOI: 10.1007/s10278-006-9948-5

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  5 in total

Review 1.  Fiber tracking: principles and strategies - a technical review.

Authors:  Susumu Mori; Peter C M van Zijl
Journal:  NMR Biomed       Date:  2002 Nov-Dec       Impact factor: 4.044

Review 2.  Diffusion-tensor MRI: theory, experimental design and data analysis - a technical review.

Authors:  Peter J Basser; Derek K Jones
Journal:  NMR Biomed       Date:  2002 Nov-Dec       Impact factor: 4.044

3.  Affine and polynomial mutual information coregistration for artifact elimination in diffusion tensor imaging of newborns.

Authors:  Jon F Nielsen; Nilesh R Ghugre; Ashok Panigrahy
Journal:  Magn Reson Imaging       Date:  2004-11       Impact factor: 2.546

Review 4.  The role of diffusion tensor imaging in the evaluation of ischemic brain injury - a review.

Authors:  Christopher H Sotak
Journal:  NMR Biomed       Date:  2002 Nov-Dec       Impact factor: 4.044

5.  Initial demonstration of in vivo tracing of axonal projections in the macaque brain and comparison with the human brain using diffusion tensor imaging and fast marching tractography.

Authors:  Geoffrey J M Parker; Klaas E Stephan; Gareth J Barker; James B Rowe; David G MacManus; Claudia A M Wheeler-Kingshott; Olga Ciccarelli; Richard E Passingham; Rachel L Spinks; Roger N Lemon; Robert Turner
Journal:  Neuroimage       Date:  2002-04       Impact factor: 6.556

  5 in total
  1 in total

Review 1.  Diffusion tensor imaging: a review for pediatric researchers and clinicians.

Authors:  Heidi M Feldman; Jason D Yeatman; Eliana S Lee; Laura H F Barde; Shayna Gaman-Bean
Journal:  J Dev Behav Pediatr       Date:  2010-05       Impact factor: 2.225

  1 in total

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