Cited 3 time in webofscience Cited 4 time in scopus

Cerebral Blood Flow Monitoring by Diffuse Speckle Contrast Analysis during MCAO Surgery in the Rat

Title
Cerebral Blood Flow Monitoring by Diffuse Speckle Contrast Analysis during MCAO Surgery in the Rat
Authors
Yeo, ChaebeomKim, HeejaungSong, Cheol
DGIST Authors
Song, Cheol
Issue Date
2017-10
Citation
Current Optics and Photonics, 1(5), 433-439
Type
Article
Article Type
Article
Author Keywords
Cerebral blood flowBlood flow indexDiffuse speckle contrast analysisMiddle cerebral artery occlusion
Keywords
ARTERY OCCLUSIONMICESTROKEBRAINMODELFLOWMETRYREPERFUSIONINFARCTIONTOLERANCEISCHEMIA
ISSN
2508-7266
Abstract
The rodent model has been used frequently to understand stroke pathophysiology, due to its low cost and the large spectrum of genetic strains available. Here, we present a diffuse speckle contrast analysis system (DSCA) with a 1 × 2 optical switch that was used to non-invasively assess cerebral blood flow (CBF) changes in the rat during intraluminal suturing for middle cerebral artery occlusion (MCAO) surgery. The blood flow index (BFI) in the left hemisphere was lower than that in the right hemisphere because the left middle cerebral artery was occluded. Furthermore, the performance of the DSCA system was compared with that of commercial laser Doppler flowmetry. The changes in the BFI measured by the two systems were correlated strongly. The DSCA system was less sensitive to motion artifacts and able to measure relatively deep tissue flow in the rat’s brain. In conclusion, the DSCA system secured CBF monitoring during surgery in a rodent model without craniotomy. © 2017 Current Optics and Photonics.
URI
http://hdl.handle.net/20.500.11750/5645
DOI
10.3807/COPP.2017.1.5.433
Publisher
Optical Society of Korea
Related Researcher
  • Author Song, Cheol Intelligent Bio-OptoMechatronics Lab
  • Research Interests Handheld medical robotics; Smart robotic microsurgery; Smart neuro-rehabilitation; Bio-photonic sensing and imaging
Files:
There are no files associated with this item.
Collection:
Department of Robotics EngineeringIntelligent Bio-OptoMechatronics Lab1. Journal Articles


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