Research on medical image compression based on shape-self-adapted ROI / 医疗卫生装备

Objective To conduct lossless compression to medical images with lossless regions of interest.Methods Firstly,the shape information of interest regions were segmented and pick up.Then,the self-adaptive wavelet transform was performed to transform interest regions.At last,the modulus of the interest regions and the rest were coded respectively before being stored or transmitted.Results A method for medical image compression based on shape-self-adapted ROI was raised.Conclusion The whole image can be highly compressed with high fidelity

Section registration method for 3D abdominal ultrasonic images / 医疗卫生装备

A registration method for 3D abdominal ultrasonic images without added hardware is proposed,whose key is to determine the relative position of the target from the registration substance.The registration involves such steps as registration plane scanning,establishment of registration table,section plane scanning,recognition of registration substance and registration of all sections.

2D multi-resolution Wavelet analysis of PET signals / 医疗卫生装备

By theory analysis,a good method named 2D multi-resolution Wavelet analysis is obtained.This method can effectively eliminate noises and swell signals.Consequently,the reconstruction of PET image is accelerated and the quality of PET image is improved.