Venous pressure is an indication for several clinical situations and therefore its accurate measurement is an invaluable diagnostic tool. It is traditionally measured via catheters inserted into a subclavian or internal jugular vein. The former is known to yield unreliable results, and the latter is impractical, uncomfortable for the patient, and has potential complications.
The goal of this project is to develop an automatic system for the noninvasive measurement of peripheral venous pressure using ultrasound.
The automatic ultrasound-based measurement system being developed involves an operator pressing gently on the forearm of a patient, while a computer processes ultrasound images along with pressure readings from a sensor placed between the ultrasound transducer and the skin. Venous pressure can then be estimated automatically from such measurements using image processing algorithms. This is a noninvasive system compared to the risks of catheter insertion based measurements. Furthermore, such an automatic system can yield faster, more accurate, repeatable, and observer-independent vein pressure measurement, compared to manual application of this method.
This project was selected as the best CTI Medtech project of the year, receiving the 2014 CTI MedTech Award at the funding agency's annual event.
The findings and results of this project were reported in:
Alessandro Crimi, Maxim Makhinya, Ulrich Baumann, Christoph Thalhammer, Gabor Szekely, and Orcun Goksel: "Automatic Measurement of Venous Pressure Using B-Mode Ultrasound", IEEE Trans Biomedical Engineering, 2015.
Finished in: 2014