Resumen
Continuous and longitudinal imaging of cerebral blood flow (CBF) variations provide vital information to investigate pathophysiology and interventions for a variety of neurological and cerebral diseases. An innovative noncontact speckle contrast diffuse correlation tomography (scDCT) system was downscaled and adapted for noninvasive imaging of CBF distributions in rat brain through intact scalp and skull. Algorithms for 2D mapping and 3D image reconstruction of CBF distributions were developed and optimized. The continuous imaging capability of the system was shown by imaging global CBF increases during CO2 inhalations and regional CBF decreases across two hemispheres during sequential unilateral and bilateral common carotid artery ligations. The longitudinal imaging capability was demonstrated by imaging CBF variations over a long recovery period of 14 days after an acute stroke. Compared to the 2D mapping method, the 3D imaging method reduces partial volume effects, but needs more computation time for image reconstruction. Results from this study generally agree with those reported in the literature using similar protocols to induce CBF changes in rats. The scDCT enables a relatively large penetration depth (up to ∼10 mm), which is sufficient for transcranial brain measurements in small animals and human neonates. Ultimately, we expect to provide a noninvasive noncontact cerebral imager for basic neuroscience research in small animal models and clinical applications in human neonates.
| Idioma original | English |
|---|---|
| Páginas (desde-hasta) | 160-169 |
| Número de páginas | 10 |
| Publicación | NeuroImage |
| Volumen | 198 |
| DOI | |
| Estado | Published - sept 2019 |
Nota bibliográfica
Publisher Copyright:© 2019
Financiación
This work was supported by the National Institutes of Health (NIH , R21-HD091118 , R21-AR062356 , R21-AG046762 , and COBRE # 1P20GM121327 ), American Heart Association (AHA # 16GRNT30820006 and # 14SDG20480186 ) and National Science Foundation (NSF # 1539068 ), Biostatistics and Bioinformatics Shared Resource of the University of Kentucky Markey Cancer Center ( P30CA177558 ). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH, AHA, or NSF.
| Financiadores | Número del financiador |
|---|---|
| CEPR COBRE | |
| National Science Foundation Arctic Social Science Program | 1539068 |
| National Institutes of Health (NIH) | 1P20GM121327, R21-AR062356, R21-AG046762, R21-HD091118 |
| American the American Heart Association | 16GRNT30820006, 14SDG20480186 |
| American Historical Association | |
| University of Kentucky Markey Comprehensive Cancer Center | P30CA177558 |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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Good health and well being
ASJC Scopus subject areas
- Neurology
- Cognitive Neuroscience
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