Detection and analysis of kidney artifacts using ultrasound imaging
Kajal Rana, Anju Gupta, Anil Khatak · 2020
The ultrasound imaging is a non-invasive methodological technique which is frequently employed for diagnosing purpose in the medical domain. Study and analysing of an evolving foetus, heart, blood vessels, muscles, tendons, abdominal and pelvic organs done by employing ultrasound imaging. This paper provides an understanding of automation which could be embedded with the ultrasound system resulting in identifying artefacts during ultrasound imaging itself. The correct conclusion regarding the various artefacts & disorders present in the ultrasound image of the respective body region can be diagnosed easily & effectively by utilizing this algorithm. An accurate course of treatment for the removal of artefacts, disorders etc. can be recommended to the affected person after utilizing this algorithm. The algorithm is designed by employing the MATLAB image processing tool. Ultrasound images are then analysed through this algorithm which accurately detects the artefacts present in images. The percentage accuracy of the proposed algorithm is 83.33 per cent. The presence of multi artefacts in tiny regions makes the algorithm based detection vulnerable. The accuracy of artefacts detection and less complex procedure of operation makes this algorithm a prominent contender for various health applications related to ultrasound imaging.