Revolutionary Technique Allows Deep Imaging of Blood Vessels and Blood Flow, Also Enables Quantitative Measurement of Oxygen Consumption
Understanding the dynamics of blood flow within the human body is crucial for diagnosing and treating a countless array of health conditions, from heart attacks and complications of diabetes to tumor growth, to name just a few.
However, gaining insight into this vital system especially the deep and tiny blood vessels which are embedded within the body has always represented a significant challenge in the medical sciences.
Non-Invasive Imaging of Deep Blood Vessels
In a groundbreaking study, researchers at the California Institute of Technology (Caltech) have developed a revolutionary technology that enables non-invasive imaging of deep blood vessels and the blood flow within them. This innovative approach, referred to as Photoacoustic Computed Tomography (PAVT), has the potential to greatly enhance the understanding and treatment of various medical conditions where blood flow plays a pivotal role.
Unlike previous methods, PAVT utilizes laser light that is absorbed by hemoglobin in red blood cells, which then emit ultrasonic vibrations. These vibrations travel to the surface of the skin, where sensors connected to a computer capture them to create detailed images of the blood vessels.
PAVT Operation Explained
PAVT achieves high accuracy by detecting signals emitted by the distribution of red blood cells deep within the body. An advanced algorithm then tracks the movement of these cells and deduces the speed and direction of blood flow. This process is similar to the way traffic flow is monitored by the speed of mobile phones on highways.
Researchers note that heterogeneity in the distribution of red blood cells, partly due to the structural nature of blood vessels, facilitates the imaging process. This can be likened to the confluence of rivers with dissimilar water qualities; different streams may flow together but remain unmixed for a distance. A similar phenomenon occurs in veins, where blood with different oxygen contents joins but remains unmixed for a period, allowing the PAVT system to trace their separate paths.
Furthermore, PAVT's ability to differentiate between oxygenated and deoxygenated red blood cells enables quantitative measurement of oxygen consumption, a vital indicator of metabolic processes. Lihong Wang, Professor of Medical Engineering and Electrical Engineering at Caltech, stated, "This reveals the amount of oxygen consumption, an important measure of metabolic activity," underscoring the wider implications of this technology.
The Synergy of Engineering and Physiology
The research conducted by Lihong Wang represents a substantial leap forward. Detailed in the journal Nature Biomedical Engineering, the study showcases the potential of PAVT to transform diagnostic processes.
The method is not entirely new to Wang's lab, known for its developments in photoacoustic imaging techniques. Yet, PAVT distinguishes itself by its capability to image not just blood vessels and their oxygen state but also the direction and rate of blood flow deeper within the body. Wang expresses his amazement at seeing images of blood flow for the first time, saying, "Now we can measure directed flow, which indicates the speed and direction of the flow."
American researcher Wang also finds the technology's capacity to bridge engineering and physiology, overcoming obstacles that were previously insurmountable, to be particularly noteworthy.
The research team includes Joshua Olick-Gibson, a graduate student in medical engineering, and Junjie Yao, a former postdoctoral researcher at Caltech. With funding from the National Institutes of Health, this achievement holds tremendous promise for the development of medical diagnostics and treatment, paving the way for less invasive, more precise methods of monitoring and understanding various medical conditions.