STTR: Point-of-Care Imaging for Cardiovascular Monitoring: Light Energy-Tissue Interactions
Grant
Overview
abstract
-
Dr. Ferguson?s research team at ECU has invented a new biomedical imaging technology, Multi-Spectral Physiologic Visualization (MSPV). MSPV is a patented laser-based imaging system. It is non-contact, non-invasive (no dyes or injections), and non-ionizing (vs. X-ray, CT), and is as safe for patients as ?taking a photograph.? MSPV is a platform technology used for real-time quantification of blood flow and tissue perfusion during surgical procedures. This gives immediate and accurate physiologic data feedback to surgeons to make better intraoperative decisions, reduce complications and improve healthcare value. Applications identified include vascular, cardiac, GI, plastic and reconstructive and thoracic surgery procedures thus far. In addition to quantification of flow and perfusion, the Research Team has identified the derivation of important physiologic status parameters (PSPs) from the metadata of this image-based data. MSPV visualization (imaging + analysis) of the palm of the hand can be used for detection and monitoring of HR, HR variability, R-to-R interval and standard deviation, cardiac cycle waveform and cardiac contractility index, systolic blood pressure threshold, and rate x pressure product. Parameter measurements under development include O2 saturation and temperature. Investigation into the visible and near-infrared light energy-tissue interaction is necessary, for Imaging Optimization and for Monitoring Accuracy., The optimal matching of MSPV wavelengths with the particular tissue characteristics (heart, bowel/enteric, skin, veins, arteries, muscle, healing tissues) for flow and perfusion quantification analyses, but these optimal wavelengths for perfusion may be different for metadata derivation of PSPs. In Specific Aim #1: Imaging Optimization, optical physics research techniques with phantoms will be used to examine these wavelength optimizations, including depth of penetration, refraction, reflection, and energy transfer. In Specific Aim #2: Monitoring Accuracy, the PSP data, visualization data, and Current Invasive Measurement point-of-care monitoring technologies will be correlated in normal volunteers. This Phase I STTR proposal is being submitted by RFPi, LLC, with ECU as the sole Academic sub-contractor to the project. It is a re-submission from last year to the NHLBI Onsite Tools and Technologies for Heart, Lung and Blood Clinical Research Point-of-Care STTR (RFA-HL-14-017 R41 Funding Opportunity). Last year?s score was 43, with much encouragement from NHLBI to re-submit this year.
date/time interval
awarded by