Modified geodesic ray-tracing for diffusion tensor imaging

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Abstract

In this paper we develop a modified ray-tracing algorithm for geodesic tractography in the context of brain Diffusion Tensor Imaging (DTI). Our technique is based on computing multi-valued geodesics connecting two given points and tracking the evolution of adjacent geodesics. In order to do so we introduce a new Riemannian metric given by the adjugate sharpened diffusion tensor, combined with a constraint on the tracts outcome based on the geodesic deviation. We present tractography results, and compare our method with the existing ray-tracing approach and deterministic streamlining. Our preliminary results show an improved performance of modified ray-tracing regarding false positive fibers. We also show experiments on subcortical short association U-fibers, whose reconstruction is well-known to be hard in a DTI setting.
Original languageEnglish
Title of host publicationInternational Symposium on Biomedical Imaging (ISBI): From Nano to Macro, 13-16 April 2016, Prague, Czech Republic
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages489-493
Number of pages5
ISBN (Electronic)978-1-4799-2349-6
ISBN (Print)978-1-4799-2350-2
DOIs
Publication statusPublished - 2016
Event13th IEEE International Symposium on Biomedical Imaging (ISBI 2016) - Clarion Congress Hotel, Prague, Czech Republic
Duration: 13 Apr 201616 Apr 2016
Conference number: 13
http://biomedicalimaging.org/2016/

Conference

Conference13th IEEE International Symposium on Biomedical Imaging (ISBI 2016)
Abbreviated titleISBI 2016
CountryCzech Republic
CityPrague
Period13/04/1616/04/16
Other"From Nano to Macro"
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Sepasian, N., ten Thije Boonkkamp, J. H. M., Astola, L. J., Breeuwer, M., & Fuster, A. (2016). Modified geodesic ray-tracing for diffusion tensor imaging. In International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, 13-16 April 2016, Prague, Czech Republic (pp. 489-493). Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISBI.2016.7493314