Multi-mixing-measures-based Ultrasonic Panoramic Imaging Algorithm And Implementation

Ultrasound scan technology has played an increasingly important role in the field of medical diagnosis as a result of its convenience and harmlessness.However,with the rapid development of ultrasound diagnostic techniques,the traditional narrow-view scanning images have become unable to meet clinical detecting requirements.Therefore,the technique of panoramic imaging was born.The wide view of its advanced imaging has greatly expanded the scope of image observation,which enables users to get the neighbor relations of organs more easily and reflects the detailed information of tissues.In order to meet the needs of an actual project,this paper presents a new multi-mixing-measures-based panoramic imaging algorithm after analyzing the existing relevant technologies.With the target being directly video data,this algorithm could be absolutely applied to the actual ultrasound systems,which indicates its high practical value.In this algorithm,different kinds of measures are applied for panoramic imaging,including SAD(Sum of Absolute Difference),statistical measure,MI(Mutual Information)and GC(Gradient Correlation).This method takes the advantages of all the measures and gets rid of their deficiencies.In order to reduce the computation,the proposed algorithm introduces a sampling mechanism,using sampling frames to replace the whole video data for panoramic imaging,which makes the algorithm a cyclical sampling process.To ensure the continuity of sampling characteristics,the algorithm introduces the step of evaluating sampling frames to make the sampling frames qualified for panoramic imaging.Scanning speed could not be guaranteed constant in the process.As a result,sampling steps should be adjusted accordingly.In this algorithm,registration displacement is used as a criterion to control sampling steps,which implements the adaptive adjustment.By simulation and statistical data,the algorithm has been proven a strong robustness,a high precision and a good rapidity.Compiled by Open CV and C language,it has been shown a high practicality and could be applied in clinic.