Quantitative assessment of optical coherence tomography angiography algorithms for neuroimaging

Optical coherence tomography (OCT) angiography can noninvasively map microvascular networks and quantify blood flow in a cerebral cortex with a resolution of 1-10 μm and a penetration depth of 2-3 mm incorporating OCT signals and angiography algorithms. Different angiography algorithms have been developed in recent years; however, the performance of the algorithms has not been assessed quantitatively for neuroimaging applications. In this paper, we developed four metrics including vascular connectivity, contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR) and processing time to quantitatively assess the performance of OCT angiography algorithms in image quality and computation speed. After the imaging of a rat cortex using an OCT system, the cerebral microvascular networks were visualized by seven algorithms, and the performance of the algorithms were quantified and compared. Quantitative performance assessment of the algorithms can provide suggestions for the selection of appropriate OCT angiography algorithms in neuroimaging. This article is protected by copyright. All rights reserved.

[1]  Dongshan Wei,et al.  Photoacoustic imaging of microenvironmental changes in facial cupping therapy. , 2020, Biomedical optics express.

[2]  Babak Shahbaba,et al.  Spatiotemporal dynamics of pial collateral blood flow following permanent middle cerebral artery occlusion in a rat model of sensory-based protection: a Doppler optical coherence tomography study , 2019, Neurophotonics.

[3]  Ruikang K. Wang,et al.  Volumetric and quantitative imaging of retinal blood flow in rats with optical microangiography , 2011, Biomedical optics express.

[4]  Zhongping Chen,et al.  In vivo microvascular network imaging of the human retina combined with an automatic three-dimensional segmentation method , 2015, Journal of biomedical optics.

[5]  Xingdao He,et al.  Perspective: Current challenges and solutions of Doppler optical coherence tomography and angiography for neuroimaging , 2018, APL Photonics.

[6]  Martin F. Kraus,et al.  Split-spectrum amplitude-decorrelation angiography with optical coherence tomography , 2012, Optics express.

[7]  Ruikang K. Wang,et al.  Methods and algorithms for optical coherence tomography-based angiography: a review and comparison , 2015, Journal of biomedical optics.

[8]  Y. Lui,et al.  Evaluation of CT Perfusion in the Setting of Cerebral Ischemia: Patterns and Pitfalls , 2010, American Journal of Neuroradiology.

[9]  Ruikang K. Wang,et al.  SWEPT SOURCE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY OF NEOVASCULAR MACULAR TELANGIECTASIA TYPE 2 , 2015, Retina.

[10]  A. Allmendinger,et al.  CT and MR imaging of Susac syndrome in a young male presenting with acute disorientation. , 2010, Clinical imaging.

[11]  Bernard Choi,et al.  High-resolution imaging of microvasculature in human skin in-vivo with optical coherence tomography , 2012, Optics express.

[12]  Puxiang Lai,et al.  Photoacoustically guided wavefront shaping for enhanced optical focusing in scattering media , 2014, Nature Photonics.

[13]  M. V. van Gemert,et al.  Noninvasive imaging of in vivo blood flow velocity using optical Doppler tomography. , 1997, Optics letters.

[14]  M. Tanter,et al.  4D functional ultrasound imaging of whole-brain activity in rodents , 2019, Nature Methods.

[15]  M. Fink,et al.  Functional ultrasound imaging of the brain: theory and basic principles , 2013, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[16]  Ruikang K. Wang,et al.  Swept-source OCT angiography of the retinal vasculature using intensity differentiation-based optical microangiography algorithms. , 2014, Ophthalmic surgery, lasers & imaging retina.

[17]  J. Maldjian,et al.  Brain perfusion imaging: How does it work and what should I use? , 2012, Journal of magnetic resonance imaging : JMRI.

[18]  M. Raichle.  A brief history of human brain mapping , 2009, Trends in Neurosciences.

[19]  J. Petrella,et al.  MR perfusion imaging of the brain: techniques and applications. , 2000, AJR. American journal of roentgenology.

[20]  Yong Zhou,et al.  Tutorial on photoacoustic tomography , 2016, Journal of biomedical optics.

[21]  Bao-Xun Zhang,et al.  Highly sensitive humidity sensor based on graphene oxide foam , 2017 .

[22]  Rajiv Gupta,et al.  Advances in computed tomography imaging technology. , 2014, Annual review of biomedical engineering.

[23]  I Alex Vitkin,et al.  Quantifying tissue microvasculature with speckle variance optical coherence tomography. , 2012, Optics letters.

[24]  J. D. de Boer,et al.  Doppler standard deviation imaging for clinical monitoring of in vivo human skin blood flow. , 2000, Optics letters.

[25]  Aneeka M Hancock,et al.  Fully distributed absolute blood flow velocity measurement for middle cerebral arteries using Doppler optical coherence tomography. , 2016, Biomedical optics express.

[26]  Mohammad Sultan Mahmud,et al.  Review of speckle and phase variance optical coherence tomography to visualize microvascular networks , 2013, Journal of biomedical optics.

[27]  Iwona Gorczynska,et al.  Comparison of amplitude-decorrelation, speckle-variance and phase-variance OCT angiography methods for imaging the human retina and choroid. , 2016, Biomedical optics express.