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Latest Trends in Multi-modality Medical Image Fusion: A Generic Review

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Rising Threats in Expert Applications and Solutions

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 434))

Abstract

Fusion of Medical Images is a simple process to register and merge various images from various modalities of images to enhance the quality of image and reduction in the redundancy for increasing the scalability clinically and capability of images taken for medical purposes to diagnose various medical problems. When we analysis the multi modal medical image fusion algorithm then it increase the diagnosis efficiency and accuracy in clinical order. Multimodal algorithms and systems for medical image fusion show significant achievements in enhancing the accuracy clinically of medical image—based decisions. A factual list of methods is given in this review article and summaries the major challenges faced scientifically in the area of fusion of medical images. A factual list of methods is given in this review article and it gives a summary of the broad challenges faced scientifically in the fusion of areas in medical images. This review also provides the organs details for further the purpose of diagnose system. Research in Fusion of Medical images is defined based (1) on the commonly used methods of image fusion, (2) the modalities of imaging, along with (3) the under-study organ imaging. Conclusively, the paper proposes the latest issues with the working of multi modality fusion of medical images in terms of future perspective.

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Author information

Authors and Affiliations

  1. Department of CSE, UIT, Uttaranchal University, Dehradun, India

    Kapil Joshi & Anuj Kumar

  2. Department of CSE, UIE, Chandigarh University, Mohali, India

    Mohit Kumar

  3. Department of CSE, School of Computer Science, UPES, Dehradun, India

    Amrendra Tripathi

  4. G.B. Pant Engineering College Ghurduari, Pauri Garhgal, India

    Jitender Sehgal

  5. Department of CSE, Women Institute of Technology, Dehradun, India

    Archana Barthwal

Authors
  1. Kapil Joshi
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  2. Mohit Kumar
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  3. Amrendra Tripathi
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  4. Anuj Kumar
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  5. Jitender Sehgal
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  6. Archana Barthwal
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Corresponding author

Correspondence to Kapil Joshi .

Editor information

Editors and Affiliations

  1. IIS (Deemed to be University), Jaipur, Rajastan, India

    Vijay Singh Rathore

  2. Electronics and Computer Discipline, Indian Institute of Technology, Roorkee, Uttarakhand, India

    Subhash Chander Sharma

  3. Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    Joao Manuel R.S. Tavares

  4. Faculty of Science, School Information Systems, Queensland University of Technology, Brisbane, QLD, Australia

    Catarina Moreira

  5. Deparment of Computer Science and Engineering, National Institute of Technology Puducherry, Karaikal, Pondicherry, India

    B. Surendiran

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Joshi, K., Kumar, M., Tripathi, A., Kumar, A., Sehgal, J., Barthwal, A. (2022). Latest Trends in Multi-modality Medical Image Fusion: A Generic Review. In: Rathore, V.S., Sharma, S.C., Tavares, J.M.R., Moreira, C., Surendiran, B. (eds) Rising Threats in Expert Applications and Solutions. Lecture Notes in Networks and Systems, vol 434. Springer, Singapore. https://doi.org/10.1007/978-981-19-1122-4_69

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