Quantitative evaluation of fiber tractography with a Delaunay triangulation-based interpolation approach.
The recent challenge in high angular resolution diffusion imaging (HARDI) is to find a tractography process that provides information about the neural architecture within the white matter of the brain in a clinically feasible measurement time. The great success of the HARDI technique comes from its...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 57; no. 4; pp. 925 - 939 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Apr2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135753240&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135753240 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Apr2019 vid: 57 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 135753240 135753240 NLM30483913 10.1007/s11517-018-1932-y NLM30483913 135753240 ppf: 925 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Quantitative evaluation of fiber tractography with a Delaunay triangulation-based interpolation approach. aug: au: Alaya, Ines Ben Jribi, Majdi Ghorbel, Faouzi Mars, Mokhtar Kraiem, Tarek affil: Laboratory of Biophysics and Medical Technology, Higher Institute of Medical Technology of Tunis, Tunis Elmanar University, 1006, Tunis, Tunisia sug: subj: Magnetic Resonance Imaging Methods Brain Algorithms Phantoms, Imaging Computer Simulation Scales ab: The recent challenge in high angular resolution diffusion imaging (HARDI) is to find a tractography process that provides information about the neural architecture within the white matter of the brain in a clinically feasible measurement time. The great success of the HARDI technique comes from its capability to overcome the problem of crossing fiber detection. However, it requires a large number of diffusion-weighted (DW) images which is problematic for clinical time and hardware. The main contribution of this paper is to develop a full tractography framework that gives an accurate estimate of the crossing fiber problem with the aim of reducing data acquisition time. We explore the interpolation in the gradient direction domain as a method to estimate the HARDI signal from a reduced set of DW images. The experimentation was performed in a first time on simulated data for a quantitative evaluation using the Tractometer system. We used, also, in vivo human brain data to demonstrate the potential of our pipeline. Results on both simulated and real data illustrate the effectiveness of our approach to perform the brain connectivity. Overall, we have shown that the proposed approach achieves competitive results to other tractography methods according to Tractometer connectivity metrics. Graphical Abstract. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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