Quantitative validation of a nonlinear histology-MRI coregistration method using generalized Q-sampling imaging in complex human cortical white matter. Gangolli, M., Holleran, L., Hee Kim, J., Stein, T. D., Alvarez, V., McKee, A. C., & Brody, D. L. NeuroImage, 153:152–167, June, 2017. ![Quantitative validation of a nonlinear histology-MRI coregistration method using generalized Q-sampling imaging in complex human cortical white matter [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Advanced diffusion MRI methods have recently been proposed for detection of pathologies such as traumatic axonal injury and chronic traumatic encephalopathy which commonly affect complex cortical brain regions. However, radiological-pathological correlations in human brain tissue that detail the relationship between the multi-component diffusion signal and underlying pathology are lacking. We present a nonlinear voxel based two dimensional coregistration method that is useful for matching diffusion signals to quantitative metrics of high resolution histological images. When validated in ex vivo human cortical tissue at a 250×250×500 μm spatial resolution, the method proved robust in correlations between generalized q-sampling imaging and histologically based white matter fiber orientations, with r=0.94 for the primary fiber direction and r=0.88 for secondary fiber direction in each voxel. Importantly, however, the correlation was substantially worse with reduced spatial resolution or with fiber orientations derived using a diffusion tensor model. Furthermore, we have detailed a quantitative histological metric of white matter fiber integrity termed power coherence capable of distinguishing architecturally complex but intact white matter from disrupted white matter regions. These methods may allow for more sensitive and specific radiological-pathological correlations of neurodegenerative diseases affecting complex gray and white matter.
@article{gangolli_quantitative_2017,
title = {Quantitative validation of a nonlinear histology-{MRI} coregistration method using generalized {Q}-sampling imaging in complex human cortical white matter},
volume = {153},
issn = {1053-8119},
url = {http://www.sciencedirect.com/science/article/pii/S1053811917302835},
doi = {10.1016/j.neuroimage.2017.03.059},
abstract = {Advanced diffusion MRI methods have recently been proposed for detection of pathologies such as traumatic axonal injury and chronic traumatic encephalopathy which commonly affect complex cortical brain regions. However, radiological-pathological correlations in human brain tissue that detail the relationship between the multi-component diffusion signal and underlying pathology are lacking. We present a nonlinear voxel based two dimensional coregistration method that is useful for matching diffusion signals to quantitative metrics of high resolution histological images. When validated in ex vivo human cortical tissue at a 250×250×500 μm spatial resolution, the method proved robust in correlations between generalized q-sampling imaging and histologically based white matter fiber orientations, with r=0.94 for the primary fiber direction and r=0.88 for secondary fiber direction in each voxel. Importantly, however, the correlation was substantially worse with reduced spatial resolution or with fiber orientations derived using a diffusion tensor model. Furthermore, we have detailed a quantitative histological metric of white matter fiber integrity termed power coherence capable of distinguishing architecturally complex but intact white matter from disrupted white matter regions. These methods may allow for more sensitive and specific radiological-pathological correlations of neurodegenerative diseases affecting complex gray and white matter.},
urldate = {2017-06-05},
journal = {NeuroImage},
author = {Gangolli, Mihika and Holleran, Laurena and Hee Kim, Joong and Stein, Thor D. and Alvarez, Victor and McKee, Ann C. and Brody, David L.},
month = jun,
year = {2017},
keywords = {Chronic Traumatic Encephalopathy, Diffusion MRI, Generalized Q-sampling Imaging, Radiological-Pathological Correlations, white matter injury},
pages = {152--167},
}
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