A low quality medical imaging registration technique for Indian telemedicine environment

Telemedicine is growing in India and Indian environment needs to be improved for acquiring and transmitting datasets for consultation and diagnosis. These attributes are correlated with internal image quality enhancement. In this paper, a medical imaging registration and reverification technique is proposed for low quality datasets transmitted in underrated transmission channel. The registration approach is integrated with multiple samples of acquired datasets, sequentially processed. Thus improving the mapping, transformation time and peak signal to noise ratio. The reverification process assures double authentication for registered image on comparison with referenced sample. The approach is tested on open medical data samples of UCL repository transmitted under low line bandwidth of Indian transmission channel and internet standards. The proposed approach serves as a better means for diagnosis and feature extraction for telediagnosis and consultation in Indian rural telemedicine environment.