SYSTEMS AND METHODS FOR REVASCULARIZATION ASSESSMENT
Disclosed herein are systems and methods for revascularization assessment. The methods can in some cases include one or more of the steps of measuring blood perfusion as a function of time to obtain time series data, mathematically transforming the time series data into a power spectrum, calculating at least one parameter of the power spectrum within a specific frequency range, and using the at least one calculated parameter as a discriminator for the first population and the second population.
1 . A computer-implemented method for discriminating between at least a first population and a second population, the method comprising:
measuring blood perfusion as a function of time to obtain time series data;
mathematically transforming the time series data into a power spectrum;
calculating at least one parameter of the power spectrum within a specific frequency range; and
using the at least one calculated parameter as a discriminator for the first population and the second population.
2 . The method of claim 1 , wherein at least the first population and the second population comprise two patient populations.
3 . The method of claim 1 , wherein the first population comprises a healthy control group and the second population comprises an ischemic population.
4 . The method of claim 1 , wherein measuring blood perfusion as a function of time comprises using an optical measurement method.
5 . The method of claim 4 , wherein the optical method is diffuse correlation spectroscopy.
6 . The method of claim 4 , wherein the optical method is diffuse speckle contrast analysis.
7 . The method of claim 4 , wherein the optical method is diffuse optical tomography.
8 . The method of claim 4 , wherein the optical method is near-infrared spectroscopy.
9 . The method of claim 4 , wherein the optical method is laser Doppler flowmetry.
10 . The method of claim 1 , wherein measuring blood perfusion as a function of time comprises using a non-optical measurement method.
11 - 44 . (canceled)
45 . A system for discriminating between at least a first population and a second population, the system comprising:
a processor configured to receive blood perfusion measurements as a function of time to obtain time series data; mathematically transform the time series data into a power spectrum; calculate at least one parameter of the power spectrum within a specific frequency range; and use the at least one calculated parameter as a discriminator for the first population and the second population.
46 . The system of claim 45 , wherein at least the first population and the second population comprise two patient populations.
47 . The system of claim 45 , wherein the first population comprises a healthy control group and the second population comprises an ischemic population.
48 . The system of claim 45 , further comprising at least one optical sensor configured to measure blood perfusion as a function of time.
49 . The system of claim 48 , wherein the optical sensor comprises a diffuse optical flow sensor.
50 - 59 . (canceled)
60 . A computer-implemented method for discriminating between at least a first population and a second population, the method comprising:
measuring blood perfusion as a function of time to obtain time series data;
calculating statistical parameters from the time series data; and
using at least one of the statistical parameters as a discriminator for the first population and the second population.
60 . The method of claim 60 , wherein the time series is between about 30 seconds and about 15 minutes.
62 . The method of claim 60 , wherein the first population is a non-ischemic population and the second population is an ischemic population.
63 . The method of claim 60 , wherein at least one of the statistical parameters is a standard deviation calculation.
64 . The method of claim 60 , wherein blood perfusion is measured noninvasively.
65 - 84 . (canceled)