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Visualization of human optic nerve by diffusion tensor mapping and degree of neuropathy
by
Konopińska, Joanna
, Szymański, Krzysztof R.
, Hładuński, Marcin
, Lisowski, Łukasz
, Kochanowicz, Jan
, Łabieniec, Łukasz
, Petrache, Horia I.
in
Analysis
/ Atrophy
/ Biology and Life Sciences
/ Blood vessels
/ Cerebrospinal fluid
/ Connectome
/ Diffusion
/ Diffusion Magnetic Resonance Imaging - methods
/ Diffusion Tensor Imaging - methods
/ Eddy currents
/ Eigenvalues
/ Eigenvectors
/ Glaucoma
/ Humans
/ Image acquisition
/ Image processing
/ Image quality
/ Image resolution
/ Magnetic resonance
/ Magnetic resonance imaging
/ Male
/ Males
/ Mathematical analysis
/ Medicine and Health Sciences
/ Muscles
/ Nerves
/ Neuropathy
/ Optic nerve
/ Optic Nerve - anatomy & histology
/ Optic Nerve - diagnostic imaging
/ Optic neuropathy
/ Patients
/ Peripheral Nervous System Diseases
/ Physical Sciences
/ Research and Analysis Methods
/ Social Sciences
/ Tendons
/ Tensors
/ Tensors (Mathematics)
/ Visualization
2022
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Visualization of human optic nerve by diffusion tensor mapping and degree of neuropathy
by
Konopińska, Joanna
, Szymański, Krzysztof R.
, Hładuński, Marcin
, Lisowski, Łukasz
, Kochanowicz, Jan
, Łabieniec, Łukasz
, Petrache, Horia I.
in
Analysis
/ Atrophy
/ Biology and Life Sciences
/ Blood vessels
/ Cerebrospinal fluid
/ Connectome
/ Diffusion
/ Diffusion Magnetic Resonance Imaging - methods
/ Diffusion Tensor Imaging - methods
/ Eddy currents
/ Eigenvalues
/ Eigenvectors
/ Glaucoma
/ Humans
/ Image acquisition
/ Image processing
/ Image quality
/ Image resolution
/ Magnetic resonance
/ Magnetic resonance imaging
/ Male
/ Males
/ Mathematical analysis
/ Medicine and Health Sciences
/ Muscles
/ Nerves
/ Neuropathy
/ Optic nerve
/ Optic Nerve - anatomy & histology
/ Optic Nerve - diagnostic imaging
/ Optic neuropathy
/ Patients
/ Peripheral Nervous System Diseases
/ Physical Sciences
/ Research and Analysis Methods
/ Social Sciences
/ Tendons
/ Tensors
/ Tensors (Mathematics)
/ Visualization
2022
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Visualization of human optic nerve by diffusion tensor mapping and degree of neuropathy
by
Konopińska, Joanna
, Szymański, Krzysztof R.
, Hładuński, Marcin
, Lisowski, Łukasz
, Kochanowicz, Jan
, Łabieniec, Łukasz
, Petrache, Horia I.
in
Analysis
/ Atrophy
/ Biology and Life Sciences
/ Blood vessels
/ Cerebrospinal fluid
/ Connectome
/ Diffusion
/ Diffusion Magnetic Resonance Imaging - methods
/ Diffusion Tensor Imaging - methods
/ Eddy currents
/ Eigenvalues
/ Eigenvectors
/ Glaucoma
/ Humans
/ Image acquisition
/ Image processing
/ Image quality
/ Image resolution
/ Magnetic resonance
/ Magnetic resonance imaging
/ Male
/ Males
/ Mathematical analysis
/ Medicine and Health Sciences
/ Muscles
/ Nerves
/ Neuropathy
/ Optic nerve
/ Optic Nerve - anatomy & histology
/ Optic Nerve - diagnostic imaging
/ Optic neuropathy
/ Patients
/ Peripheral Nervous System Diseases
/ Physical Sciences
/ Research and Analysis Methods
/ Social Sciences
/ Tendons
/ Tensors
/ Tensors (Mathematics)
/ Visualization
2022
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Visualization of human optic nerve by diffusion tensor mapping and degree of neuropathy
Journal Article
Visualization of human optic nerve by diffusion tensor mapping and degree of neuropathy
2022
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Overview
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.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
/ Atrophy
/ Diffusion Magnetic Resonance Imaging - methods
/ Diffusion Tensor Imaging - methods
/ Glaucoma
/ Humans
/ Male
/ Males
/ Medicine and Health Sciences
/ Muscles
/ Nerves
/ Optic Nerve - anatomy & histology
/ Optic Nerve - diagnostic imaging
/ Patients
/ Peripheral Nervous System Diseases
/ Research and Analysis Methods
/ Tendons
/ Tensors
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