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Multimodal Medical Image Registration and Fusion for Quality Enhancement

Computers, Materials & Continua 2021年第7期68卷 821-840页

作者： Muhammad Adeel Azam Khan Bahadar Khan Muhammad Ahmad Manuel Mazzara Department of Electronic Engineering The Islamia University of Bahawalpur63100Pakistan Department of Telecommunication Engineering The Islamia University of Bahawalpur63100Pakistan Department of Computer Science National University of Computer and Emerging SciencesChiniot35400Pakistan Institute of Software Development and Engineering Innopolis UniversityInnopolis420500Russia

For the last two decades,physicians and clinical experts have used a single imaging modality to identify the normal and abnormal structure of the human ***,most of the time,medical experts are unable to accurately analyze and examine the information from a single imaging modality due to the limited *** overcome this problem,a multimodal approach is adopted to increase the qualitative and quantitative medical information which helps the doctors to easily diagnose diseases in their early *** the proposed method,a Multi-resolution Rigid Registration(MRR)technique is used for multimodal image registration while Discrete Wavelet Transform(DWT)along with Principal component averaging(PCAv)is utilized for image *** proposed MRR method provides more accurate results as compared with Single Rigid Registration(SRR),while the proposed DWT-PCAv fusion process adds-on more constructive information with less computational *** proposed method is tested on CT and MRI brain imaging modalities of the HARVARD *** fusion results of the proposed method are compared with the existing fusion *** quality assessment metrics such as Mutual Information(MI),Normalize Crosscorrelation(NCC)and Feature Mutual Information(FMI)are computed for statistical comparison of the proposed *** proposed methodology provides more accurate results,better image quality and valuable information for medical diagnoses.

关键词： Multimodal registration fusion multi-resolution rigid registration discrete wavelet transform principle component averaging

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