Multimodal Medical Image Fusion Techniques

Registration ID: IJNRD_211768

Published ID: IJNRD2401035

DOI: Click Here to Get

Yogeshwaran R , Geetha G

Medical images, Multimodal fusion, Security, image denoising, nonsubsampled contourlet transform, RID Net, High and Low frequency ,Deep convolutional neural network.

Multi-modal medical image fusion may be a well-known area of picture fusion research. Image fusion is the technique of creating one image from the pertinent data from several images taken of the same scene. The resulting merged image is more comprehensive and useful than any of the input images. Diagnostic accuracy depends on imaging technology. Medical image fusion research has gained popularity since the little information offered by single mode medical images cannot satisfy the demand for clinical diagnosis, which necessitates a substantial amount of information. Single-mode fusion and multimodal fusion are subcategories of medical picture fusion. The advantages and disadvantages of each medical technique, such as X-rays, CT scans, MRIs, nuclear medicine, and others, used to check the body's organs, vary. Then, a Non Subsampled Contourlet Transform (NSCT)-based fusion algorithm is used to fuse the Magnetic Resonance Imaging (MRI) and computed tomography (CT) scan images. Additionally, In order to improve the viability of denoising algorithms, In this research, a novel one-stage blind real picture method is proposed, using a modular architecture to denoising network RIDNet. A residual on the residual structure is used by us to Facilitate the flow of low-frequency data and use feature attention to take advantage of channel dependencies In order to increase the robustness, Denoising Convolutional Neural Network (DnCNN) is utilized.

Published Paper   E-Certificate

Yogeshwaran R & Geetha G (January-2024). Multimodal Medical Image Fusion Techniques. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(1), a318-a323. https://ijnrd.org/papers/IJNRD2401035.pdf

Volume 9 Issue 1, January-2024

Pages : a318-a323

Paper Reg. ID: IJNRD_211768

Published Paper Id: IJNRD2401035

Downloads: 000121983

Research Area: Science & Technology

Country: chennai, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2401035.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2401035

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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