Systems and methods for generating and displaying OCT blood flow speeds by merging mutiple integrated spatial samplings
A computer-implemented method of imaging an object, and an optical coherent tomography (OCT) imaging system implementing same. The method comprises acquiring a three-dimensional optical coherence tomography (OCT) data set representing an object, wherein the OCT data set includes at least a first and a second three-dimensional data subsets, each element of the OCT data set having a respective sampling period, wherein at least a first element of the first data subset represents a point in space that is not represented by any element of the second subset, and at least one element of the second subset has a sampling period different from the sampling period of the first element of the first subset; processing at least the first and the second data subsets according to at least one imaging modality, thereby generating at least a first and a second processed data subsets, each processed data subset representing the object; and generating a composite image representing the object based on at least the first and the second processed data subsets.
1. A computer-implemented method of imaging an object, the method comprising:
acquiring a three-dimensional optical coherence tomography (OCT) data set representing an object, wherein the OCT data set includes at least a first and a second three-dimensional data subsets, each element of the OCT data set having a respective sampling period, wherein at least a first element of the first data subset represents a point in space that is not represented by any element of the second subset, and at least one element of the second subset has a sampling period different from the sampling period of the first element of the first subset;
processing at least the first and the second data subsets according to at least one imaging modality, thereby generating at least a first and a second processed data subsets, each processed data subset representing the object; and
generating a composite image representing the object based on at least the first and the second processed data subsets,
wherein the object includes a patient's vasculature and blood flowing therethrough, and
wherein the first processed data subset represents the vasculature, and the second processed data subset represents blood flow, blood oxygenation, hematocrit, presence of particular immune cells or inflammatory markers, elements of a complete blood count (CBC), blood flow speed/velocity, blood flow turbulence.
2. The method of claim 1 , further including displaying the composite image.
3. The method of claim 1 , wherein acquiring the three-dimensional OCT data set includes obtaining said data set from a data storage device.
4. The method of claim 3 , wherein at least the first and the second data subsets are registered to a fiducial marker.
5. The method of claim 1 , wherein acquiring the three-dimensional OCT data set includes acquiring said data with an Optical Coherence Tomography (OCT) imaging instrument.
6. The method of claim 1 , wherein at least one imaging modality is OCT-dynamic light scattering (DLS).
7. The method of claim 1 , wherein the three dimensional OCT data set includes data representing at least three B-scans of a same location of an object, the B-scans separated by one or more interscan time intervals.
8. The method of claim 7 , wherein at least one imaging modality is one of VISTA-OCT.
9. The method of claim 1 , wherein at least one imaging modality is OCT-dynamic light scattering (DLS), Doppler OCT, OCT Angiography Ratio Analysis (OCTARA), split-spectrum amplitude-decorrelation angiography (SSADA), optical microangiography (OMAG), eigenvalue decomposition-based velocimetry, or phase variance angiography.
10. The method of claim 1 , wherein the object is one of eye, retina, fovea, optic nerve head, choroid and/or choriocapillaris, or cornea.
11. The method of claim 1 , wherein the patient is suffering from an ocular disease.
12. The method of claim 1 , wherein the patient is suffering from an abnormal vasculature.
13. The method of claim 1 , wherein the patient is suffering from a microaneurysm.
14. An optical coherent tomography (OCT) imaging system comprising:
a memory configured to store a three-dimensional optical coherence tomography (OCT) data set representing an object, wherein the OCT data set includes at least a first and a second three-dimensional data subsets, each element of the OCT data set having a respective sampling period, wherein at least a first element of the first data subset represents a point in space that is not represented by any element of the second subset, and at least one element of the second subset has a sampling period different from the sampling period of the first element of the first subset;
a computing module, configured to process at least the first and the second data subsets according to at least one imaging modality, and thereby to generate at least a first and a second processed data subsets, each processed data subset representing the object;
and to generate a composite image representing the object based on at least the first and the second processed data subsets,
wherein the object includes a patient's vasculature and blood flowing therethrough, and
wherein the first processed data subset represents the vasculature, and the second processed data subset represents blood flow, blood oxygenation, hematocrit, presence of particular immune cells or inflammatory markers, elements of a complete blood count (CBC), blood flow speed/velocity, blood flow turbulence.
15. The system of claim 14 , further including a display module configured to display the composite image.
16. The system of claim 14 , further including a data acquisition module comprising an optical coherent tomography (OCT) imaging instrument, the data acquisition module configured to acquire the three-dimensional OCT data set representing an object, wherein the OCT data set includes at least the first and the second three-dimensional data subsets, each element of the OCT data set having the respective sampling period, wherein the sampling period of at least one element of the first data subset is different from the sampling period of at least one element of the second data subset.
17. The system of claim 14 , wherein the memory is further configured to receive the three-dimensional OCT data set from a data storage device.
18. The system of claim 17 , wherein at least the first and the second data subsets are registered to a fiducial marker.
19. The system of claim 14 , wherein the three dimensional OCT data set includes data representing at least three B-scans of a same location of an object, the B-scans separated by one or more interscan time intervals.
20. The system of claims 19 , wherein at least one imaging modality is VISTA OCT.
21. The system of claim 14 , wherein at least one imaging modality is one of OCT-dynamic light scattering (DLS), Doppler OCT, OCT Angiography Ratio Analysis (OCTARA), split-spectrum amplitude-decorrelation angiography (SSADA), optical microangiography (OMAG) and its derivatives, eigenvalue decomposition-based velocimetry, or phase variance angiography.