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Medical image fusion is pivotal to extract accurate information from medical images for disease diagnosis. This is used to amalgamate various images from same or different sources. In this work, Computed Tomography (CT) and Positron Emission Tomography (PET) images are fused by means of Discrete Wavelet Transform (DWT), curve let transform and multimodal image fusion. The current researches for disease diagnosis mainly focus on the identification of optimal method that consumes less time with high accuracy in order to ensure patient safety. Therefore, this work aims to find the suitable method by comparing various transform techniques for accurate analysis of medical images. The CT and PET images are used in this paper to obtain both anatomical and physiological information of human body and these images are utilized for image fusion by principal component analysis (PCA) and maximum method. The reliability of the techniques is calculated by performance analysis and is hence inferred that multimodal image fusion provides better accuracy than the rest of the methods. However, the future work will be to validate the results for a greater number of input images.

The IEEE 802.11ad innovation has enabled the impact of remote devices in unauthorized 60 GHz unlicensed frequency band at Giga bits per second information transfer rate in speed concentrated 5G applications. We have presented an innovative work that deals with the upgradation of the ability of IEEE 802.11ad wireless LAN to make it suitable for wireless applications. An exact examination on the IEEE 802.11ad analysis has been carried out in this work to achieve the greatest throughput. This has pulled attraction in broad consideration for accomplishing the pinnacle transmission rate of 8 Gbit/s. IEEE 802.11ad is a convention utilized for extremely high information rates (around 8 Gbit/s) and for short range remote correspondence of around 1 to 10 meters. The Multi-layer with Multi-User Multiple Input Multiple-Output (MLMU-MIMO) innovation has enabled transmission of multiple information packets all the while from the WLAN IEEE 802.11 ad Access Point (AP) to various receivers by means of different wireless applications. To help the MLMU-MIMO innovation at Medium Access Control (MAC), a new method called Simultaneous Transmission for Enhanced Throughput (STET) has been presented for enhancement of the transmission rate of the wireless standard. A mathematical model has been used for the evaluation of the performance of an IEEE 802.11ad AP empowering the STET allocation technique. This STET model can help determination of the throughput improvement of a STET technique, for example, audio information, images, good quality and foundation impact. The main goal of this work is to analyze the improvement of the STET allocation technique in regard to the usage of rare frequency band, when obtaining spectrum access between the various access points. The theoretical and simulation outcomes are also confirmed by Riverbed modeler 17.5 simulation tool.