Non-invasive optical imaging for measuring pulse and arterial elasticity in the brain

• US 9,167,970 B2
• Filed: 10/14/2010
• Issued: 10/27/2015
• Est. Priority Date: 10/29/2009
• Status: Active Grant

• Current Assignee: Board of Trustees of The University of Illinois
• Original Assignee: Board of Trustees of The University of Illinois
• Inventors: Gratton, Gabriele, Fabiani, Monica, Low, Kathy, Maclin, Edward
• Primary Examiner(s): FERNANDEZ, KATHERINE L
• Application Number:
  US13/504,401
• Publication Number:
  US 20120215114A1
• Time in Patent Office: 1,839 Days
• Field of Search: 600/473, 600/476, 600/407, 600/481, 382/128
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0042 for the brain
• CPC Class Codes: A61B 5/0059 using light, e.g. diagnosis by transillumination, diascopy, fluorescence A61B5/0093, A61B5/1455, A61B5/02416 and A61B5/0261 take precedence
• CPC Class Codes: A61B 5/02007 Evaluating blood vessel condition, e.g. elasticity, compliance
• CPC Class Codes: A61B 5/02028 Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
• CPC Class Codes: A61B 5/4064 Evaluating the brain A61B5/031, A61B5/369, A61B5/14553 take precedence
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts

Abstract

An optical imaging system and a method for generating a report regarding elasticity of arteries in the brain of a subject under test. Light output from the light source of the imaging system non-invasively illuminates at least one blood vessel or region of interest in the brain and, upon the interaction with the vessel, is registered with an optical detector to obtain a shape parameter of a hemodynamic pulse in the vessel. The shape parameter is further correlated to an elasticity parameter of the blood vessel(s) feeding the brain region of interest and presented in a form of report that may be a two- or a three-dimensional image of the parameter across the tested region of the brain.

Claims

1. An imaging system comprising:

an illumination system configured to illuminate a region of interest (ROI) of a brain of a subject under test (SUT), the ROI having at least one blood vessel, and a reference blood vessel with photons and receive the photons after interaction with the ROI and the reference blood vessel;

a light detection mechanism including an optical detector and a signal processing section, the light detection mechanism configured to acquire the photons after interaction thereof with the ROI and the reference blood vessel to compile first imaging data representing the ROI and second imaging data representing the reference blood vessel;

a processor, in operable communication with the light detection mechanism, configured to process the first and second imaging data to determine a first shape parameter of a hemodynamic pulse in the at least one blood vessel and a second shape parameter of a hemodynamic pulse in the reference blood vessel;

a display section, in which appears a display of at least one image representing the first shape parameter of a hemodynamic pulse in the at least one blood vessel;

and

tangible, non-transitory storage medium containing program code which, when downloaded on said processor, causes the processor

to determine the first shape parameter from processing of the first imaging data;

to determine the second shape parameter based on processing of the second imaging data;

to compare said first and second shape parameters to determine a difference therebetween;

to transform the first imaging data to create said at least one image showing a distribution of the first shape parameter in a cross-section of the ROI;

and

to form output data representing elasticity of said at least one blood vessel from the ROI based on said difference and said at least one image.

2. An imaging system of claim 1, wherein the at least one image is two-dimensional.

3. An imaging system of claim 1, further comprising a digital filter with a pass-band from about 0.5 Hz to about 10 Hz configured to refine the imaging data obtained at all frequencies within said pass-band.

4. An imaging system according to claim 1, wherein the first shape parameter of a hemodynamic pulse in the at least one blood vessel includes a hemodynamic pulse latency.

5. An imaging system according to claim 1, wherein the illumination system contains at least one acquisition channel defined by a pair of a light source emitting the photons and the optical detector receiving the photons, and a portion of the ROI separating the light source and the optical detector, wherein a location of said optical detector on a head of the SUT is co-registered with anatomy of the brain.

6. An imaging system of claim 1, wherein said program code causes the processor to compare said first and second shapes as a function of time to form output data representing temporal changes in elasticity of said at least one blood vessel.

7. An imaging system of claim 1, wherein said program code causes the processor to determine said first shape of a hemodynamic pulse in said at least one blood vessel of the ROI based on a hemodynamic pulse latency that represents a prolongation of a systolic phase of a corresponding hemodynamic pulse with respect to a diastolic phase thereof.

8. An imaging system of claim 1, wherein said first shape parameter of a hemodynamic pulse in the at least one blood vessel represents elasticity of said at least one blood vessel of the ROI.

9. A computer program product for use on a computer system having a processor configured to create an image of a region of a brain of a subject under test based on input digital data that includes first data representing interaction between light and at least one blood vessel in said region and second data representing interaction between light and a reference blood vessel of the subject under test, the computer program product comprising a computer-usable tangible medium having a computer readable program code therein, which, when loaded into the computer system, causes the processor:

to determine, from said input digital data, a first shape parameter of a hemodynamic pulse in said at least one blood vessel;

to transform said input digital data to produce an output representing an image of said first shape parameter across said region;

to determine, from said input digital data, a second shape parameter of a hemodynamic pulse in the reference blood vessel;

to compare said first and second shape parameters to define a difference therebetween;

and

based on said difference and said image, to produce an output representing elasticity of said at least one blood vessel of said region.

10. A computer program of claim 9, wherein the computer-usable tangible medium further contains program code that causes the processor to compare a duration of a systolic phase of said hemodynamic pulse in said at least one blood vessel with a duration of a diastolic phase thereof to determine a prolongation of the systolic phase with respect to the diastolic phase.

11. An imaging system operable to produce output data representing elasticity of at least one blood vessel of a brain of a subject under test (SUT), the system comprising:

an illumination system configured to generate photons and

to illuminate non-invasively a region of interest (ROI) of said brain with said photons and receive the photons after interaction thereof with the ROI having at least one blood vessel; and

to illuminate non-invasively, and contemporaneously with illumination of said ROI, a reference blood vessel with said photons and receive the photons after interaction thereof with said reference blood vessel;

a light detection mechanism including an optical detector and a signal-processing section, the light detection mechanism configured

(i) to acquire photons that have been received after interaction with the ROI to compile first imaging data representing a hemodynamic pulse in said at least one blood vessel from the ROI; and

(ii) to acquire photons that have been received after interaction with the reference blood vessel to compile second imaging data representing a hemodynamic pulse in said reference blood vessel;

a processor in operable communication with the light detection mechanism, the processor programmed

to determine a first shape of said hemodynamic pulse in said at least one blood vessel from said first imaging data;

to determine a second shape of said hemodynamic pulse in said reference blood vessel from said second imaging data;

to compare said first and second shapes to determine a difference therebetween;

to form said output data representing elasticity of said at least one blood vessel from the ROI based on said difference; and

to create at least one image of elasticity distribution based on at least said first imaging data;

and

a display section, in which appears a display of a visually-perceivable representation of at least one of the first imaging data, the second imaging data, the output data, and said ROI.

12. An imaging system of claim 11, wherein said first and second imaging data contain data representing time-progressions of respectively corresponding arterial hemodynamic pulses.

13. An imaging system of claim 11, wherein a determination of said difference includes a determination of a hemodynamic pulse latency representing a prolongation of a systolic phase of a corresponding hemodynamic pulse with respect to a diastolic phase thereof.

14. An imaging system of claim 11, wherein the processor is further programmed to parameterize a shape, from the first and second shapes, based on assigning a number of parameterized descriptors to a number of data points describing said shape, wherein said number of parameterized descriptors is smaller than said number of data points, and wherein said parameterized descriptors represent elasticity of an artery.

15. An imaging system of claim 11, wherein said display section provides a time-evolution of spatial maps of said first shape across the ROI.

16. An imaging system of claim 11, wherein said processor is further programmed to transform the first imaging data to generate said at least one image of elasticity distribution showing a distribution of the first shape parameter in a cross-section of the ROI and to form said output data representing elasticity of said at least one blood vessel from the ROI based on said difference and said at least one image of elasticity distribution.