Visualization of human optic nerve by diffusion tensor mapping and degree of neuropathy.
Diffusion-weighted magnetic resonance imaging of the human optic nerve and tract is technically difficult because of its small size, the inherent strong signal generated by the surrounding fat and the cerebrospinal fluid, and due to eddy current-induced distortions and subject movement artifacts. Th...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0278987 |
| _version_ | 1811177217841954816 |
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| author | Łukasz Łabieniec Łukasz Lisowski Horia I Petrache Marcin Hładuński Joanna Konopińska Jan Kochanowicz Krzysztof R Szymański |
| author_facet | Łukasz Łabieniec Łukasz Lisowski Horia I Petrache Marcin Hładuński Joanna Konopińska Jan Kochanowicz Krzysztof R Szymański |
| author_sort | Łukasz Łabieniec |
| collection | DOAJ |
| description | Diffusion-weighted magnetic resonance imaging of the human optic nerve and tract is technically difficult because of its small size, the inherent strong signal generated by the surrounding fat and the cerebrospinal fluid, and due to eddy current-induced distortions and subject movement artifacts. The effects of the bone canal through which the optic nerve passes, and the proximity of blood vessels, muscles and tendons are generally unknown. Also, the limited technical capabilities of the scanners and the minimization of acquisition times result in poor quality diffusion-weighted images. It is challenging for current tractography methods to accurately track optic pathway fibers that correspond to known anatomy. Despite these technical limitations and low image resolution, here we show how to visualize the optic nerve and tract and quantify nerve atrophy. Our visualization method based on the analysis of the diffusion tensor shows marked differences between a healthy male subject and a male subject with progressive optic nerve neuropathy. These differences coincide with diffusion scalar metrics and are not visible on standard morphological images. A quantification of the degree of optic nerve atrophy in a systematic way is provided and it is tested on 9 subjects from the Human Connectome Project. |
| first_indexed | 2024-04-10T22:58:03Z |
| format | Article |
| id | doaj.art-6b02ab27418f46eebc32e3f2db77c16d |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-10T22:58:03Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-6b02ab27418f46eebc32e3f2db77c16d2023-01-14T05:31:36ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-011712e027898710.1371/journal.pone.0278987Visualization of human optic nerve by diffusion tensor mapping and degree of neuropathy.Łukasz ŁabieniecŁukasz LisowskiHoria I PetracheMarcin HładuńskiJoanna KonopińskaJan KochanowiczKrzysztof R SzymańskiDiffusion-weighted magnetic resonance imaging of the human optic nerve and tract is technically difficult because of its small size, the inherent strong signal generated by the surrounding fat and the cerebrospinal fluid, and due to eddy current-induced distortions and subject movement artifacts. The effects of the bone canal through which the optic nerve passes, and the proximity of blood vessels, muscles and tendons are generally unknown. Also, the limited technical capabilities of the scanners and the minimization of acquisition times result in poor quality diffusion-weighted images. It is challenging for current tractography methods to accurately track optic pathway fibers that correspond to known anatomy. Despite these technical limitations and low image resolution, here we show how to visualize the optic nerve and tract and quantify nerve atrophy. Our visualization method based on the analysis of the diffusion tensor shows marked differences between a healthy male subject and a male subject with progressive optic nerve neuropathy. These differences coincide with diffusion scalar metrics and are not visible on standard morphological images. A quantification of the degree of optic nerve atrophy in a systematic way is provided and it is tested on 9 subjects from the Human Connectome Project.https://doi.org/10.1371/journal.pone.0278987 |
| spellingShingle | Łukasz Łabieniec Łukasz Lisowski Horia I Petrache Marcin Hładuński Joanna Konopińska Jan Kochanowicz Krzysztof R Szymański Visualization of human optic nerve by diffusion tensor mapping and degree of neuropathy. PLoS ONE |
| title | Visualization of human optic nerve by diffusion tensor mapping and degree of neuropathy. |
| title_full | Visualization of human optic nerve by diffusion tensor mapping and degree of neuropathy. |
| title_fullStr | Visualization of human optic nerve by diffusion tensor mapping and degree of neuropathy. |
| title_full_unstemmed | Visualization of human optic nerve by diffusion tensor mapping and degree of neuropathy. |
| title_short | Visualization of human optic nerve by diffusion tensor mapping and degree of neuropathy. |
| title_sort | visualization of human optic nerve by diffusion tensor mapping and degree of neuropathy |
| url | https://doi.org/10.1371/journal.pone.0278987 |
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