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VERDIKT-Kjernekomp.og verdiskaping IKT

In-Situ Adaptive Filtering of 3D Ultrasound Datasets

Alternative title: null

Awarded: NOK 0.50 mill.

Ultrasound is a popular clinical imaging modality because of its favorable cost, availability, patient-friendliness and speedy acquisitions. On the other hand, ultrasound data are reported to be difficult to understand and challenging to visualize due to its natural characteristics. These characteristics include noise, high acquisition frame rate, and depth-varying image brightness due to wave attenuation. This project will focus on developing a versatile filtering tool that effectively removes noise fr om ultrasound datasets, preserves structures and can comply with higher image acquisition rates. In our prior work, we invented a new method for feature-preserving filtering of noisy data, that is suitable especially for ultrasound. This method received e ncouraging feedback from the medical environment, ultrasound industry and the visualization community. However, this technology as such is not yet usable for ultrasound workstations or any other acquisition devices that require in-situ visualization. The reason for this is the performance of the filtering process. The goal of this project is to achieve a commercial success of our technology, which requires new design of some of its steps. After having achieved performance that allows for combination of our filtering method with in-situ visualization of ultrasound acquisitions, we will focus on validation and evaluation of the in-situ technology in a clinical setting. Our aim is to prove better diagnosis making and improved doctor-to-patient communicatio n. Positive feedback from doctors and solid evaluation will increase the attractiveness of our product of industry.

Funding scheme:

VERDIKT-Kjernekomp.og verdiskaping IKT