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Reconstruction of the human visual system based on DTI fiber tracking.
- Source :
-
Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2007 Oct; Vol. 26 (4), pp. 886-93. - Publication Year :
- 2007
-
Abstract
- Purpose: To apply and to evaluate the newly developed advanced fast marching algorithm (aFM) in vivo by reconstructing the human visual pathway, which is characterized by areas of extensive fiber crossing and branching, i.e., the optic chiasm and the lateral geniculate nucleus (LGN).<br />Materials and Methods: Diffusion tensor images were acquired in 10 healthy volunteers. Due to the proximity to bony structures and air-filled spaces of the optic chiasm, a high sensitivity encoding (SENSE) reduction factor was applied to reduce image distortions in this area. To reconstruct the visual system, three different seed areas were chosen separately. The results obtained by the aFM tracking algorithm were compared and validated with known anatomy.<br />Results: The visual system could be reconstructed reproducibly in all subjects and the reconstructed fiber pathways are in good agreement with known anatomy.<br />Conclusion: The present work shows that the advanced aFM, which is especially designed for overcoming tracking limitations within areas of extensive fiber crossing, handles the fiber crossing and branching within the optic chiasm and the LGN correctly, thus allowing the reconstruction of the entire human visual fiber pathway, from the intraorbital segment of the optic nerves to the visual cortex.<br /> ((c) 2007 Wiley-Liss, Inc.)
- Subjects :
- Adult
Algorithms
Diffusion
Female
Geniculate Bodies pathology
Humans
Male
Models, Anatomic
Optic Chiasm pathology
Optic Nerve anatomy & histology
Reproducibility of Results
Retina anatomy & histology
Sensitivity and Specificity
Geniculate Bodies anatomy & histology
Optic Chiasm anatomy & histology
Optic Nerve pathology
Vision, Ocular
Visual Pathways
Subjects
Details
- Language :
- English
- ISSN :
- 1053-1807
- Volume :
- 26
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Journal of magnetic resonance imaging : JMRI
- Publication Type :
- Academic Journal
- Accession number :
- 17896363
- Full Text :
- https://doi.org/10.1002/jmri.21098