Literature DB >> 19191204

Fiber tracking with distinct software tools results in a clear diversity in anatomical fiber tract portrayal.

U Bürgel1, B Mädler, C R Honey, A Thron, J Gilsbach, V A Coenen.   

Abstract

BACKGROUND: Fiber tract portrayal, based on diffusion tensor imaging (DTI), is becoming more and more important in functional neuronavigation. No standard exists to guarantee anatomically correct fiber tract depiction for neurosurgical purposes. Therefore, showing the anatomically correct extension of fiber tracts beyond the pure connection of functional areas remains an area of important research and investigation. Standards for fiber tracking software applications are elusive. The purpose of this study was to compare the performance of different fiber tracking software tools (FT-tools). We tested the software performance, comparability and anatomical accuracy of the tracking results of several programs.
MATERIAL AND METHODS: A single DTI dataset of a healthy control subject was submitted to four different fiber tracking software applications (two commercial, two freeware), three of them based on Fiber Assignment by Continuous Tracking, one based on the Tensorline Propagation Algorithm. The corticospinal tract (CST) was investigated. The tracking procedure was controlled by the following input variables: single regions of interest (ROIs): brain stem, or internal capsule, or subcortical white matter of the precentral gyrus; background threshold, fractional anisotropy (FA) threshold, maximum fiber angulation and fiber length. Tracking results were compared for 2-D correlated triplanar images (axial, coronal, sagittal) and in 3-D. For all FT-tools, the time used to generate the CST was measured. The inter-rater variability for tracking time and for the tracked CST volumes was recorded for two of the four FT-tools. RESULTS AND
CONCLUSIONS: Distinct FT-tools performed very differently with respect to the time required to achieve CST portrayal (track generation time varied between 16 and 50 min). None of the software applications was able to display the CST in its full anatomical extent. Especially the lateral precentral areas were not pictured. Surprisingly, the application of the four distinct FT-tools did not lead to comparable tracking results. As very similar or identical tracking algorithms were used, this difference cannot be easily explained. Clearly, neurosurgeons have to be cautious about applying fiber tracking results intraoperatively, especially when dealing with an abnormal or distorted fiber tract anatomy. The authors recommend the use of adjunct strategies such as intraoperative electrophysiology to enhance patient safety and improve anatomical accuracy when using tracking results for surgical procedures.

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Year:  2009        PMID: 19191204     DOI: 10.1055/s-0028-1087212

Source DB:  PubMed          Journal:  Cent Eur Neurosurg        ISSN: 1868-4904


  27 in total

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

Authors:  Romuald Seizeur; Nicolas Wiest-Daessle; Sylvain Prima; Camille Maumet; Jean-Christophe Ferre; Xavier Morandi
Journal:  Surg Radiol Anat       Date:  2012-03-18       Impact factor: 1.246

Review 2.  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

3.  Explaining clinical effects of deep brain stimulation through simplified target-specific modeling of the volume of activated tissue.

Authors:  B Mädler; V A Coenen
Journal:  AJNR Am J Neuroradiol       Date:  2012-02-02       Impact factor: 3.825

4.  Diffusion tensor microscopy in human nervous tissue with quantitative correlation based on direct histological comparison.

Authors:  Brian Hansen; Jeremy J Flint; Choong Heon-Lee; Michael Fey; Franck Vincent; Michael A King; Peter Vestergaard-Poulsen; Stephen J Blackband
Journal:  Neuroimage       Date:  2011-05-03       Impact factor: 6.556

5.  Electrophysiologic Validation of Diffusion Tensor Imaging Tractography during Deep Brain Stimulation Surgery.

Authors:  V A Coenen; C Jenkner; C R Honey; B Mädler
Journal:  AJNR Am J Neuroradiol       Date:  2016-03-31       Impact factor: 3.825

6.  Awake mapping is not an additional surgical technique but an alternative philosophy in the management of low-grade glioma patients.

Authors:  Hugues Duffau
Journal:  Neurosurg Rev       Date:  2017-12-13       Impact factor: 3.042

7.  Fasciculography: robust prior-free real-time normalized volumetric neural tract parcellation.

Authors:  Hon Pong Ho; Fei Wang; Xenophon Papademetris; Hilary P Blumberg; Lawrence H Staib
Journal:  IEEE Trans Med Imaging       Date:  2011-09-12       Impact factor: 10.048

8.  A comparison of three fiber tract delineation methods and their impact on white matter analysis.

Authors:  Valerie J Sydnor; Ana María Rivas-Grajales; Amanda E Lyall; Fan Zhang; Sylvain Bouix; Sarina Karmacharya; Martha E Shenton; Carl-Fredrik Westin; Nikos Makris; Demian Wassermann; Lauren J O'Donnell; Marek Kubicki
Journal:  Neuroimage       Date:  2018-05-19       Impact factor: 6.556

9.  Automated vs. conventional tractography in multiple sclerosis: variability and correlation with disability.

Authors:  Daniel S Reich; Arzu Ozturk; Peter A Calabresi; Susumu Mori
Journal:  Neuroimage       Date:  2009-11-26       Impact factor: 6.556

10.  Individualized Map of White Matter Pathways: Connectivity-Based Paradigm for Neurosurgical Planning.

Authors:  Birkan Tunç; Madhura Ingalhalikar; Drew Parker; Jérémy Lecoeur; Nickpreet Singh; Ronald L Wolf; Luke Macyszyn; Steven Brem; Ragini Verma
Journal:  Neurosurgery       Date:  2016-10       Impact factor: 4.654

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