TY - JOUR
T1 - Automated segmentation and enhancement of optical coherence tomography-acquired images of rodent brain
AU - Baran, Utku
AU - Zhu, Wenbin
AU - Choi, Woo June
AU - Omori, Michael
AU - Zhang, Wenri
AU - Alkayed, Nabil J.
AU - Wang, Ruikang K.
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - Background Optical coherence tomography (OCT) is a non-invasive optical imaging method that has proven useful in various fields such as ophthalmology, dermatology and neuroscience. In ophthalmology, significant progress has been made in retinal layer segmentation and enhancement of OCT images. There are also segmentation algorithms to separate epidermal and dermal layers in OCT-acquired images of human skin. New method We describe simple image processing methods that allow automatic segmentation and enhancement of OCT images of rodent brain. Results We demonstrate the effectiveness of the proposed methods for OCT-based microangiography (OMAG) and tissue injury mapping (TIM) of mouse cerebral cortex. The results show significant improvement in image contrast, delineation of tissue injury, allowing visualization of different layers of capillary beds. Comparison with existing methods Previously reported methods for other applications are yet to be used in neuroscience due to the complexity of tissue anatomy, unique physiology and technical challenges. Conclusions OCT is a promising tool that provides high resolution in vivo microvascular and structural images of rodent brain. By automatically segmenting and enhancing OCT images, structural and microvascular changes in mouse cerebral cortex after stroke can be monitored in vivo with high contrast.
AB - Background Optical coherence tomography (OCT) is a non-invasive optical imaging method that has proven useful in various fields such as ophthalmology, dermatology and neuroscience. In ophthalmology, significant progress has been made in retinal layer segmentation and enhancement of OCT images. There are also segmentation algorithms to separate epidermal and dermal layers in OCT-acquired images of human skin. New method We describe simple image processing methods that allow automatic segmentation and enhancement of OCT images of rodent brain. Results We demonstrate the effectiveness of the proposed methods for OCT-based microangiography (OMAG) and tissue injury mapping (TIM) of mouse cerebral cortex. The results show significant improvement in image contrast, delineation of tissue injury, allowing visualization of different layers of capillary beds. Comparison with existing methods Previously reported methods for other applications are yet to be used in neuroscience due to the complexity of tissue anatomy, unique physiology and technical challenges. Conclusions OCT is a promising tool that provides high resolution in vivo microvascular and structural images of rodent brain. By automatically segmenting and enhancing OCT images, structural and microvascular changes in mouse cerebral cortex after stroke can be monitored in vivo with high contrast.
KW - Image reconstruction techniques
KW - Optical coherence tomography
KW - Optical microangiography
KW - Stroke
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U2 - 10.1016/j.jneumeth.2016.06.014
DO - 10.1016/j.jneumeth.2016.06.014
M3 - Article
C2 - 27328369
AN - SCOPUS:84976547325
SN - 0165-0270
VL - 270
SP - 132
EP - 137
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
ER -