Fiber visualization for preoperative glioma assessment: Tractography versus local connectivity mapping


Autoři: Thomas Schult aff001;  Till-Karsten Hauser aff002;  Uwe Klose aff002;  Helene Hurth aff003;  Hans-Heino Ehricke aff001
Působiště autorů: Institute for Applied Computer Science, Stralsund University of Applied Sciences, Stralsund, Germany aff001;  Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany aff002;  Department of Neurosurgery, University Hospital Tübingen, Tübingen, Germany aff003
Vyšlo v časopise: PLoS ONE 14(12)
Kategorie: Research Article
doi: 10.1371/journal.pone.0226153

Souhrn

In diffusion MRI, the advent of high angular resolution diffusion imaging (HARDI) and HARDI with compressed sensing (HARDI+CS) has led to clinically practical signal acquisition techniques which allow for the assessment of white matter architecture in routine patient studies. However, the reconstruction and visualization of fiber pathways by tractography has not yet been established as a standard methodology which can easily be applied. This is due to various algorithmic problems, such as a lack of robustness, error propagation and the necessity of fine-tuning parameters depending on the clinical question. In the framework of a clinical study of glioma patients, we compare two different whole-brain tracking methods to a local connectivity mapping approach which has recently shown promising results in an adaptation to diffusion MRI. The ability of the three methods to correctly depict fiber affection is analyzed by comparing visualization results to representations of local diffusion profiles provided by orientation distribution functions (ODFs). Our results suggest that methods beyond fiber tractography, which visualize local connectedness rather than global connectivity, should be evaluated further for pre-surgical assessment of fiber affection.

Klíčová slova:

Anisotropy – Central nervous system – Data acquisition – Glioma – Magnetic resonance imaging – Tractography – Ligation independent cloning


Zdroje

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