TY - JOUR
T1 - A practical method for multimodal registration and assessment of whole-brain disease burden using PET, MRI, and optical imaging
AU - Scarpelli, Matthew L.
AU - Healey, Debbie R.
AU - Mehta, Shwetal
AU - Kodibagkar, Vikram D.
AU - Quarles, Christopher C.
N1 - Funding Information: This work was sponsored by the Arizona Biomedical Research Centre (ADHS18-198850), Barrow Neurological Foundation, Dignity Health and Arizona State University Collaborative Strategic Initiative and Students Supporting Brain Tumor Research. The authors thank the staff of Neuroscience Publications at Barrow Neurological Institute for assistance with manuscript and video preparation. Thanks to David A. Hormuth of the University of Texas at Austin for providing advice/feedback regarding surface distance calculations. Thanks to Greg Turner and Alberto Fuentes of the Barrow Neurological Institute/Arizona State University Preclinical Imaging Lab for helping acquire MRI and PET images. Thanks to Page Baluch of Arizona State University Regenerative Medicine Imaging Facility for helping to acquire the confocal fluorescent images. Confocal image data was collected using a Leica SP8 LSCM that was made available to the Regenerative Medicine Imaging Facility at Arizona State University through the NIH SIG award 1S100D023691-01. Publisher Copyright: © 2020, The Author(s).
PY - 2020/12/1
Y1 - 2020/12/1
N2 - Many neurological diseases present with substantial genetic and phenotypic heterogeneity, making assessment of these diseases challenging. This has led to ineffective treatments, significant morbidity, and high mortality rates for patients with neurological diseases, including brain cancers and neurodegenerative disorders. Improved understanding of this heterogeneity is necessary if more effective treatments are to be developed. We describe a new method to measure phenotypic heterogeneity across the whole rodent brain at multiple spatial scales. The method involves co-registration and localized comparison of in vivo radiologic images (e.g. MRI, PET) with ex vivo optical reporter images (e.g. labeled cells, molecular targets, microvasculature) of optically cleared tissue slices. Ex vivo fluorescent images of optically cleared pathology slices are acquired with a preclinical in vivo optical imaging system across the entire rodent brain in under five minutes, making this methodology practical and feasible for most preclinical imaging labs. The methodology is applied in various examples demonstrating how it might be used to cross-validate and compare in vivo radiologic imaging with ex vivo optical imaging techniques for assessing hypoxia, microvasculature, and tumor growth.
AB - Many neurological diseases present with substantial genetic and phenotypic heterogeneity, making assessment of these diseases challenging. This has led to ineffective treatments, significant morbidity, and high mortality rates for patients with neurological diseases, including brain cancers and neurodegenerative disorders. Improved understanding of this heterogeneity is necessary if more effective treatments are to be developed. We describe a new method to measure phenotypic heterogeneity across the whole rodent brain at multiple spatial scales. The method involves co-registration and localized comparison of in vivo radiologic images (e.g. MRI, PET) with ex vivo optical reporter images (e.g. labeled cells, molecular targets, microvasculature) of optically cleared tissue slices. Ex vivo fluorescent images of optically cleared pathology slices are acquired with a preclinical in vivo optical imaging system across the entire rodent brain in under five minutes, making this methodology practical and feasible for most preclinical imaging labs. The methodology is applied in various examples demonstrating how it might be used to cross-validate and compare in vivo radiologic imaging with ex vivo optical imaging techniques for assessing hypoxia, microvasculature, and tumor growth.
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U2 - 10.1038/s41598-020-74459-1
DO - 10.1038/s41598-020-74459-1
M3 - Article
C2 - 33057180
SN - 2045-2322
VL - 10
JO - Scientific reports
JF - Scientific reports
IS - 1
M1 - 17324
ER -