A Non-Conventional Review on Multi-Modality-Based Medical Image Fusion

Author:

Diwakar Manoj1ORCID,Singh Prabhishek2ORCID,Ravi Vinayakumar3ORCID,Maurya Ankur2

Affiliation:

1. Department of CSE, Graphic Era Deemed to be University, Dehradun 248002, India

2. School of Computer Science Engineering and Technology, Bennett University, Greater Noida 201310, India

3. Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar 34754, Saudi Arabia

Abstract

Today, medical images play a crucial role in obtaining relevant medical information for clinical purposes. However, the quality of medical images must be analyzed and improved. Various factors affect the quality of medical images at the time of medical image reconstruction. To obtain the most clinically relevant information, multi-modality-based image fusion is beneficial. Nevertheless, numerous multi-modality-based image fusion techniques are present in the literature. Each method has its assumptions, merits, and barriers. This paper critically analyses some sizable non-conventional work within multi-modality-based image fusion. Often, researchers seek help in apprehending multi-modality-based image fusion and choosing an appropriate multi-modality-based image fusion approach; this is unique to their cause. Hence, this paper briefly introduces multi-modality-based image fusion and non-conventional methods of multi-modality-based image fusion. This paper also signifies the merits and downsides of multi-modality-based image fusion.

Publisher

MDPI AG

Subject

Clinical Biochemistry

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