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  Diffusion simulation-based fiber tracking using time-of-arrival maps: a comparison with standard methods

Mang, S., Logashenko, D., Gembris, D., Wittum, G., Grodd, W., & Klose, U. (2010). Diffusion simulation-based fiber tracking using time-of-arrival maps: a comparison with standard methods. Magnetic Resonance Materials in Physics, Biology and Medicine, 23(5-6), 391-398. doi:10.1007/s10334-009-0195-x.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-689C-A Version Permalink: http://hdl.handle.net/21.11116/0000-0002-689D-9
Genre: Journal Article

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 Creators:
Mang, SC, Author
Logashenko, D, Author
Gembris, D, Author
Wittum, G, Author
Grodd, W1, Author              
Klose, U, Author
Affiliations:
1Section Experimental MR, Department of NeuroradiologyUniversity Hospital Tübingen, ou_persistent22              

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 Abstract: Object We propose a new tracking method based on time-of-arrival (TOA) maps derived from simulated diffusion processes. Materials and methods The proposed diffusion simulation-based tracking consists of three steps that are successively evaluated on small overlapping sub-regions in a diffusion tensor field. First, the diffusion process is simulated for several time steps. Second, a TOA map is created to store simulation results for the individual time steps that are required for the tract reconstruction. Third, the fiber pathway is reconstructed on the TOA map and concatenated between neighboring sub-regions. This new approach is compared with probabilistic and streamline tracking. All methods are applied to synthetic phantom data for an easier evaluation of their fiber reconstruction quality. Results The comparison of the tracking results did show severe problems for the streamline approach in the reconstruction of crossing fibers, for example. The probabilistic method was able to resolve the crossing, but could not handle strong curvature. The new diffusion simulation-based tracking could reconstruct all problematic fiber constellations. Conclusion The proposed diffusion simulation-based tracking method used the whole tensor information of a neighborhood of voxels and is, therefore, able to handle problematic tracking situations better than established methods.

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 Dates: 2010-12
 Publication Status: Published in print
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1007/s10334-009-0195-x
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Title: Magnetic Resonance Materials in Physics, Biology and Medicine
Source Genre: Journal
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Publ. Info: Amsterdam : No longer published by Elsevier
Pages: - Volume / Issue: 23 (5-6) Sequence Number: - Start / End Page: 391 - 398 Identifier: ISSN: 0968-5243
CoNE: https://pure.mpg.de/cone/journals/resource/954926245532