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Optoacoustic imaging (OAI) has developed steadily in recent years and is similar to pure ultrasound imaging. In the latter, a probe sends sound waves into the body, which are reflected by various types of tissue in a special way. Sensors in the probe detect the reflected sound waves, from which a structure of the tissue inside the body is mapped. Miniaturized ultrasonic transducers manufactured using semiconductor technology are also known as CMUTs (capacitive micromachined ultrasonic transducers).
In optoacoustic imaging, on the other hand, extremely fast laser pulses are sent into the tissue, where they are absorbed and converted into ultrasound waves. These can then be detected in the same way as with ultrasound imaging and converted into images using various
algorithms.
Optical imaging methods generally do not allow a high penetration or imaging depth due to light scattering in the tissue. Ultrasound-based imaging methods can penetrate deeper into the tissue, but have low contrast in acoustically homogeneous tissue types. Ultrasound is preferred because it has no side effects, is painless and, unlike X-rays, is completely risk-free.
Optoacoustic imaging combines the advantages of both techniques. The absorbing structures in the tissue (e.g. the smallest vessels) are heated locally by the ultrashort light pulses, which leads to a temporary minimal expansion of the tissue at certain points (thermoelastic expansion). This creates measurable pressure waves in the ultrasound range, which are detected by sensors. The cell structures are not damaged, the procedure is painless and risk-free. For imaging, there is an advantageous combination of light absorption contrasting and the improved ratio of resolution to increased ultrasound-induced penetration depth. Artificial intelligence is used for further processing and improved evaluation of the data.
The range of applications for optoacoustic sensor technology from the OASYS project is very extensive, for example as an intraoperative method to distinguish healthy tissue structures from tumors in the early detection of cancer, as well as at follow-up appointments or during surgery. Vascular changes can nowadays also be detected with high-resolution ultrasound, so that stroke risks and heart attacks can be recognized at an early stage. We have broken down some of the use cases in more detail below:
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DOI:
White Paper
Cluster hyperspektral imaging
Cluster optical imaging in biosciences