17 February 2017 Volumetric vessel reconstruction method for absolute blood flow velocity measurement in Doppler OCT images
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Abstract
Doppler optical coherence tomography (DOCT) is considered one of the most promising functional imaging modalities for neuro biology research and has demonstrated the ability to quantify cerebral blood flow velocity at a high accuracy. However, the measurement of total absolute blood flow velocity (BFV) of major cerebral arteries is still a difficult problem since it not only relates to the properties of the laser and the scattering particles, but also relates to the geometry of both directions of the laser beam and the flow. In this paper, focusing on the analysis of cerebral hemodynamics, we presents a method to quantify the total absolute blood flow velocity in middle cerebral artery (MCA) based on volumetric vessel reconstruction from pure DOCT images. A modified region growing segmentation method is first used to localize the MCA on successive DOCT B-scan images. Vessel skeletonization, followed by an averaging gradient angle calculation method, is then carried out to obtain Doppler angles along the entire MCA. Once the Doppler angles are determined, the absolute blood flow velocity of each position on the MCA is easily found. Given a seed point position on the MCA, our approach could achieve automatic quantification of the fully distributed absolute BFV. Based on experiments conducted using a swept-source optical coherence tomography system, our approach could achieve automatic quantification of the fully distributed absolute BFV across different vessel branches in the rodent brain.
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Li Qi, Li Qi, Jiang Zhu, Jiang Zhu, Aneeka M. Hancock, Aneeka M. Hancock, Cuixia Dai, Cuixia Dai, Xuping Zhang, Xuping Zhang, Ron D. Frostig, Ron D. Frostig, Zhongping Chen, Zhongping Chen, } "Volumetric vessel reconstruction method for absolute blood flow velocity measurement in Doppler OCT images", Proc. SPIE 10053, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI, 1005331 (17 February 2017); doi: 10.1117/12.2253309; https://doi.org/10.1117/12.2253309
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