title: Highly efficient eigen decomposition based statistical optical microangiography.
abstract: BACKGROUND
  To overcome the drawbacks of the voxel-based eigen-decomposition (vED) approach to achieve the purpose of imaging blood flow in living tissue in real time.
  
  
  METHODS
  A highly efficient and practical method for contrastingin vivoblood flow by applying eigen-decomposition (ED) filter on repeated complex-valued optical coherence tomography (OCT) B-scans eigen-decomposition (bED) is proposed. We first present basic mathematics for bED. We then validate the bED through imaging cerebral blood flow in a mouse model.
  
  
  RESULTS
  Through evaluating signal to noise ratio, contrast and vessel connectivity, it is found that the proposed method can better contrast blood flow with drastic saving on computational power when compared with traditional ED approach where the filtering is applied on the basis of pixel by pixel or voxel by voxel.
  
  
  CONCLUSIONS
  The bED is practically feasible to realize real time OCT angiography. In addition, the proposed ED approach is equally applicable to the operations on repeated A-scans or volumetric scans.
authors.affiliation: Department of Bioengineering, University of Washington, Seattle, Washington 98195, USA.
authors.forename: Qinqin
authors.initials: Q
authors.lastname: Zhang
authors.affiliation: Department of Bioengineering, University of Washington, Seattle, Washington 98195, USA.
authors.forename: Jingang
authors.initials: J
authors.lastname: Wang
authors.affiliation: Department of Bioengineering, University of Washington, Seattle, Washington 98195, USA; Department of Ophthalmology, University of Washington, Seattle, Washington 98195, USA.
authors.forename: Ruikang K
authors.initials: RK
authors.lastname: Wang
keywords: Optical coherence tomography (OCT); eigen-decomposition (ED); optical microangiography (OMAG); static signal and dynamic signal