Medical Image Fusion based on Hybrid Algorithms for Neuro cysticercosis and Neoplastic Disease Analysis

Authors:

B. Rajalingam,R. Priya,R. Bhavani,

DOI NO:

https://doi.org/10.26782/jmcms.2019.08.00015

Keywords:

Multimodality medical image,Neoplastic,Neurocyticercosis,CT,MRI,SPECT,DTCWT and NSST,

Abstract

A Neuro cysticercosis is avoidable parasitic infection caused by larval cysts of the pork tapeworm. The larval cysts can affect different parts of the human organs causing a condition known as cysticercosis which can direct to seizures it is called neuro cysticercosis. A neoplasm is an abnormal growth of cells in the brain, also known as a tumor which causes growth of tumor triggered by DNA mutations within your cells. The neoplastic disease causes two types of tumor growth. The benign tumors usually grow which grow slowly and cannot spread to other tissues are called as noncancerous growth. The Malignant brain tumors grow quickly and spread to multiple tissues, organs are known as cancerous growth. In spite of huge progresses, still there is no single modality which can represent all aspects of the human body. In this paper a novel method has been proposed for Dual tree complex wavelet Transform (DTCWT) with Non-subsampled shearlet transform (NSST) hybrid fusion algorithm. The developed fusion algorithm is experienced on the pilot study datasets of patients affected with Neurocysticercosis and neoplastic diseases. The fused image conveys the superior description of the information than the source images. Experimental results are evaluated by the number of well-known performance evaluation metrics.

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