Abstract
To meet the requirement of portability and intelligentization when medical doctors, researchers and patients use magnetic resonance elastography (MRE) information processing system, a magnetic resonance elastic image simulation and information processing system was designed based on the smartphone platform. By analyzing MRE and studying processing algorithms, software based on the html5 + css3 + javascript language in AppCan (hybrid mixed mobile development platform) platform was developed. The design of software interface and acquisition of MRE data were projected by html5+css3 language. The simulation and reconstruction of the MRE data was designed by javascript language, and it can be shown on the smartphone platform in real time. The significance of the software lies in the advantage of operating easily by touch screen on the smartphone platform. The simulation and reconstruction process of MRE is more intelligent and portable, indicating its application value and potential in popularizing smart medical diagnosis and personalized diagnosis.
Abstract
To meet the requirement of portability and intelligentization when medical doctors, researchers and patients use magnetic resonance elastography (MRE) information processing system, a magnetic resonance elastic image simulation and information processing system was designed based on the smartphone platform. By analyzing MRE and studying processing algorithms, software based on the html5 + css3 + javascript language in AppCan (hybrid mixed mobile development platform) platform was developed. The design of software interface and acquisition of MRE data were projected by html5+css3 language. The simulation and reconstruction of the MRE data was designed by javascript language, and it can be shown on the smartphone platform in real time. The significance of the software lies in the advantage of operating easily by touch screen on the smartphone platform. The simulation and reconstruction process of MRE is more intelligent and portable, indicating its application value and potential in popularizing smart medical diagnosis and personalized diagnosis.