Cross-validation of serial optical coherence scanning and diffusion tensor imaging: A study on neural fiber maps in human medulla oblongata

Hui Wang; Junfeng Zhu; Martin Reuter; Louis N. Vinke; Anastasia Yendiki; David A. Boas; Bruce Fischl; Taner Akkin

doi:10.1016/j.neuroimage.2014.06.032

Cross-validation of serial optical coherence scanning and diffusion tensor imaging: A study on neural fiber maps in human medulla oblongata

Hui Wang, Junfeng Zhu, Martin Reuter, Louis N. Vinke, Anastasia Yendiki, David A. Boas, Bruce Fischl, Taner Akkin

Biomedical Engineering

Research output: Contribution to journal › Article › peer-review

53 Scopus citations

Abstract

We established a strategy to perform cross-validation of serial optical coherence scanner imaging (SOCS) and diffusion tensor imaging (DTI) on a postmortem human medulla. Following DTI, the sample was serially scanned by SOCS, which integrates a vibratome slicer and a multi-contrast optical coherence tomography rig for large-scale three-dimensional imaging at microscopic resolution. The DTI dataset was registered to the SOCS space. An average correlation coefficient of 0.9 was found between the co-registered fiber maps constructed by fractional anisotropy and retardance contrasts. Pixelwise comparison of fiber orientations demonstrated good agreement between the DTI and SOCS measures. Details of the comparison were studied in regions exhibiting a variety of fiber organizations. DTI estimated the preferential orientation of small fiber tracts; however, it didn't capture their complex patterns as SOCS did. In terms of resolution and imaging depth, SOCS and DTI complement each other, and open new avenues for cross-modality investigations of the brain.

Original language	English (US)
Pages (from-to)	395-404
Number of pages	10
Journal	NeuroImage
Volume	100
DOIs	https://doi.org/10.1016/j.neuroimage.2014.06.032
State	Published - Oct 15 2014

Bibliographical note

Funding Information:
This work was supported in part by the Institute for Engineering in Medicine Seed Grant program and a Doctoral Dissertation Fellowship at the University of Minnesota, and research grants from the US National Institute of Health (NIH) : the National Institute for Biomedical Imaging and Bioengineering ( 5R01EB012538 , 5P41EB015896-15 , R01EB006758 ), the National Center for Research Resources ( U24RR021382 ), the National Institute on Aging ( AG022381 , 5R01AG008122-22 ), the National Institute for Neurological Disorders and Stroke ( R01NS052585-01 , 1R21NS072652-01 , 1R01NS070963 ), and was made possible by the resources provided by Shared Instrumentation Grants 1S10RR023401 , 1S10RR019307 , and 1S10RR023043 . Additional support was provided by the NIH Blueprint for Neuroscience Research ( 5U01MH093765 ), part of the multi-institutional Human Connectome Project. In addition, BF has a financial interest in Corticometrics, a company whose medical pursuits focus on brain imaging and measurement technologies. BF's interests were reviewed and are managed by Massachusetts General Hospital and Partners HealthCare in accordance with their conflict of interest policies.

Keywords

Anisotropy
Connectome
Diffusion magnetic resonance imaging
Fiber orientation
Human brain
Optical coherence tomography
Polarization
Validation

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@article{f28b21b517d846e5b08c4d763db3dbc6,

title = "Cross-validation of serial optical coherence scanning and diffusion tensor imaging: A study on neural fiber maps in human medulla oblongata",

abstract = "We established a strategy to perform cross-validation of serial optical coherence scanner imaging (SOCS) and diffusion tensor imaging (DTI) on a postmortem human medulla. Following DTI, the sample was serially scanned by SOCS, which integrates a vibratome slicer and a multi-contrast optical coherence tomography rig for large-scale three-dimensional imaging at microscopic resolution. The DTI dataset was registered to the SOCS space. An average correlation coefficient of 0.9 was found between the co-registered fiber maps constructed by fractional anisotropy and retardance contrasts. Pixelwise comparison of fiber orientations demonstrated good agreement between the DTI and SOCS measures. Details of the comparison were studied in regions exhibiting a variety of fiber organizations. DTI estimated the preferential orientation of small fiber tracts; however, it didn't capture their complex patterns as SOCS did. In terms of resolution and imaging depth, SOCS and DTI complement each other, and open new avenues for cross-modality investigations of the brain.",

keywords = "Anisotropy, Connectome, Diffusion magnetic resonance imaging, Fiber orientation, Human brain, Optical coherence tomography, Polarization, Validation",

author = "Hui Wang and Junfeng Zhu and Martin Reuter and Vinke, {Louis N.} and Anastasia Yendiki and Boas, {David A.} and Bruce Fischl and Taner Akkin",

note = "Funding Information: This work was supported in part by the Institute for Engineering in Medicine Seed Grant program and a Doctoral Dissertation Fellowship at the University of Minnesota, and research grants from the US National Institute of Health (NIH) : the National Institute for Biomedical Imaging and Bioengineering ( 5R01EB012538 , 5P41EB015896-15 , R01EB006758 ), the National Center for Research Resources ( U24RR021382 ), the National Institute on Aging ( AG022381 , 5R01AG008122-22 ), the National Institute for Neurological Disorders and Stroke ( R01NS052585-01 , 1R21NS072652-01 , 1R01NS070963 ), and was made possible by the resources provided by Shared Instrumentation Grants 1S10RR023401 , 1S10RR019307 , and 1S10RR023043 . Additional support was provided by the NIH Blueprint for Neuroscience Research ( 5U01MH093765 ), part of the multi-institutional Human Connectome Project. In addition, BF has a financial interest in Corticometrics, a company whose medical pursuits focus on brain imaging and measurement technologies. BF's interests were reviewed and are managed by Massachusetts General Hospital and Partners HealthCare in accordance with their conflict of interest policies.",

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doi = "10.1016/j.neuroimage.2014.06.032",

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AU - Zhu, Junfeng

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AU - Vinke, Louis N.

AU - Yendiki, Anastasia

AU - Boas, David A.

AU - Fischl, Bruce

AU - Akkin, Taner

N1 - Funding Information: This work was supported in part by the Institute for Engineering in Medicine Seed Grant program and a Doctoral Dissertation Fellowship at the University of Minnesota, and research grants from the US National Institute of Health (NIH) : the National Institute for Biomedical Imaging and Bioengineering ( 5R01EB012538 , 5P41EB015896-15 , R01EB006758 ), the National Center for Research Resources ( U24RR021382 ), the National Institute on Aging ( AG022381 , 5R01AG008122-22 ), the National Institute for Neurological Disorders and Stroke ( R01NS052585-01 , 1R21NS072652-01 , 1R01NS070963 ), and was made possible by the resources provided by Shared Instrumentation Grants 1S10RR023401 , 1S10RR019307 , and 1S10RR023043 . Additional support was provided by the NIH Blueprint for Neuroscience Research ( 5U01MH093765 ), part of the multi-institutional Human Connectome Project. In addition, BF has a financial interest in Corticometrics, a company whose medical pursuits focus on brain imaging and measurement technologies. BF's interests were reviewed and are managed by Massachusetts General Hospital and Partners HealthCare in accordance with their conflict of interest policies.

PY - 2014/10/15

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N2 - We established a strategy to perform cross-validation of serial optical coherence scanner imaging (SOCS) and diffusion tensor imaging (DTI) on a postmortem human medulla. Following DTI, the sample was serially scanned by SOCS, which integrates a vibratome slicer and a multi-contrast optical coherence tomography rig for large-scale three-dimensional imaging at microscopic resolution. The DTI dataset was registered to the SOCS space. An average correlation coefficient of 0.9 was found between the co-registered fiber maps constructed by fractional anisotropy and retardance contrasts. Pixelwise comparison of fiber orientations demonstrated good agreement between the DTI and SOCS measures. Details of the comparison were studied in regions exhibiting a variety of fiber organizations. DTI estimated the preferential orientation of small fiber tracts; however, it didn't capture their complex patterns as SOCS did. In terms of resolution and imaging depth, SOCS and DTI complement each other, and open new avenues for cross-modality investigations of the brain.

AB - We established a strategy to perform cross-validation of serial optical coherence scanner imaging (SOCS) and diffusion tensor imaging (DTI) on a postmortem human medulla. Following DTI, the sample was serially scanned by SOCS, which integrates a vibratome slicer and a multi-contrast optical coherence tomography rig for large-scale three-dimensional imaging at microscopic resolution. The DTI dataset was registered to the SOCS space. An average correlation coefficient of 0.9 was found between the co-registered fiber maps constructed by fractional anisotropy and retardance contrasts. Pixelwise comparison of fiber orientations demonstrated good agreement between the DTI and SOCS measures. Details of the comparison were studied in regions exhibiting a variety of fiber organizations. DTI estimated the preferential orientation of small fiber tracts; however, it didn't capture their complex patterns as SOCS did. In terms of resolution and imaging depth, SOCS and DTI complement each other, and open new avenues for cross-modality investigations of the brain.

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KW - Connectome

KW - Diffusion magnetic resonance imaging

KW - Fiber orientation

KW - Human brain

KW - Optical coherence tomography

KW - Polarization

KW - Validation

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SN - 1053-8119

VL - 100

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JO - NeuroImage

JF - NeuroImage

ER -

Cross-validation of serial optical coherence scanning and diffusion tensor imaging: A study on neural fiber maps in human medulla oblongata

Abstract

Bibliographical note

Keywords

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