Novel Image Super-Resolution Algorithm for Improving Ultrasound Image Quality
Ultrasound has become one of the most commonly performed imaging modalities in clinical practice throughout all regions of the world. It is a rapidly evolving technology with certain advantages and with unique challenges that include low imaging quality and high variability. Hence, from the perspective of the image analysis, it is vital to develop and/or utilize different “intelligent” image improving/filtering methods in order to address those challenges in a cohesive manner. Therefore, various image processing methods have been implemented in advancing the quality of the ultrasound images (with the attribute of sufficiently low cost) over the years and still, the process is ongoing and self-developing. Team Anechoic, in our preliminary effort, attempts to advance the quality of the real-time sonographer images with an algorithm approach of processing using image super-resolution. The infrastructural approach leads to reshaping the real-time images of the ultrasound process into a new dimension of self-improvement via machine learning. The oral presentation has been presented at the annual Biomedical Engineering Innovation Contest of the University of Moratuwa - BrainStorm on 7th December 2019.
