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International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

29.04.2017 | Original Article

Versatile, robust, and efficient tractography with constrained higher-order tensor fODFs

verfasst von: Michael Ankele, Lek-Heng Lim, Samuel Groeschel, Thomas Schultz

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 8/2017

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Abstract

Purpose

Develop a multi-fiber tractography method that produces fast and robust results based on input data from a wide range of diffusion MRI protocols, including high angular resolution diffusion imaging, multi-shell imaging, and clinical diffusion spectrum imaging (DSI)

Methods

In a unified deconvolution framework for different types of diffusion MRI protocols, we represent fiber orientation distribution functions as higher-order tensors, which permits use of a novel positive definiteness constraint (H-psd) that makes estimation from noisy input more robust. The resulting directions are used for deterministic fiber tracking with branching.

Results

We quantify accuracy on simulated data, as well as condition numbers and computation times on clinical data. We qualitatively investigate the benefits when processing suboptimal data, and show direct comparisons to several state-of-the-art techniques.

Conclusion

The proposed method works faster than state-of-the-art approaches, achieves higher angular resolution on simulated data with known ground truth, and plausible results on clinical data. In addition to working with the same data as previous methods for multi-tissue deconvolution, it also supports DSI data.

Vorheriger Artikel Anatomy-driven multiple trajectory planning (ADMTP) of intracranial electrodes for epilepsy surgery

Nächster Artikel Deformable appearance pyramids for anatomy representation, landmark detection and pathology classification

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Titel: Versatile, robust, and efficient tractography with constrained higher-order tensor fODFs
verfasst von: Michael Ankele
Lek-Heng Lim
Samuel Groeschel
Thomas Schultz
Publikationsdatum: 29.04.2017
Verlag: Springer International Publishing
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 8/2017
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-017-1593-6

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Abstract

Purpose

Methods

Results

Conclusion

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