The ERC funded project “3-D Super resolution Ultrasound Real time imaging of Erythrocytes” - SURE develops ultrasound methods for visualizing the flow in the smallest vessel in the human body. Current experimental super resolution imaging uses small micro bubbles injected into a vein to visualize the flow in the human body. The method is invasive and takes several minutes for yielding satisfactory images. This can be avoided using our newly developed SURE method, which employs the red blood cells for imaging. Here a ultrasound research scanner is used for acquiring data for only 5 seconds to yield images with a resolution of 25 micrometers without any preparation of the patient. This has recently been demonstrated on the kidney of a Sprague-Dawley rat, which was scanned using a Verasonics research scanner, and the SURE processing program. It shows that super resolution imaging with a resolution of 25-40 micrometers can be attained in 5 to 10 seconds, orders of magnitude faster than current super resolution imaging with contrast agents, which takes 3-10 minutes to acquire. The SURE images need no contrast agents, and the patients can be directly scanned by a conventional ultrasound probe. This makes translation into the clinic easy. The images were compared to micro-CT scans acquired over 11 hours, and the vasculature of the SURE images were compared to the micro-CT scans. A close correspondence between the two images were seen. The approach is now under patenting and the first clinical trials are being planned.
A second major results is three-dimensional ultrasound imaging using specialized row-column probes. The project has demonstrated that our row-column technology can be used for both super resolution imaging, normal high quality anatomic imaging, and blood velocity imaging, where the blood velocity vector is found in all three directions within the full volume and with a high time resolution. The row-column array only need 128 measurement channels, whereas a similar matrix probe used in current commercial scanners would need 16,384 channels, yielding 128 times more data. The processing is, thus, 128 times faster with our approach. The new method makes it possible to fabricate probes that are larger, which can see deeper into the tissue, and use higher frequencies for a corresponding higher resolution. This has the potential to introduce very high quality 3-D imaging in medical ultrasound using current scanner hardware.