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Human habenula segmentation using myelin content
Joo-won Kim
*
, Thomas P. Naidich
, Benjamin A. Ely
, Essa Yacoub
,
Federico De Martino
, Mary E. Fowkes
, Wayne K. Goodman
, Junqian Xu
*
*
Corresponding author for this work
Auditory Neurosc. & Statistical Modeling
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peer-review
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INIS
images
100%
humans
100%
myelin
100%
in vivo
83%
thalamus
33%
volume
16%
diffusion
16%
nmr imaging
16%
applications
16%
increasing
16%
size
16%
geometry
16%
nuclei
16%
evaluation
16%
constraints
16%
resolution
16%
noise
16%
proton density
16%
Keyphrases
Myelin Content
100%
Habenula
100%
Myelin
37%
Segmentation Scheme
37%
Diffusion Magnetic Resonance Imaging (dMRI)
12%
Functional Magnetic Resonance Imaging
12%
Neuroscience Research
12%
High-resolution
12%
Contrast-to-noise Ratio
12%
In Vivo Neuroimaging
12%
Semi-automated
12%
Reward Circuit
12%
Morphological Evaluation
12%
Scalable Approaches
12%
Seed Zones
12%
Region Growing
12%
Region Selection
12%
MRI Application
12%
Geometric Constraints
12%
Dorsomedial Thalamus
12%
Ratio Image
12%
Proton Density Weighted Image
12%
Partial Volume Estimation
12%
Histogram Thresholding
12%
T2-w
12%
Neuroscience
Habenula
100%
Myelin
100%
In Vivo
62%
Thalamus
25%
Functional Magnetic Resonance Imaging
12%
Diffusion MRI
12%
Computer Science
Neuroimaging Research
100%
Partial Volume
100%
Estimation Step
100%
Medicine and Dentistry
Myelin
100%
Habenula
100%
Thalamus
25%
Diffusion MRI
12%
Functional Magnetic Resonance Imaging
12%
Ex Vivo
12%
Morphology
12%