Litcius/Paper detail

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

Manoj Diwakar, Prabhishek Singh, Vinayakumar Ravi, Ankur Maurya

2023Diagnostics30 citationsDOIOpen Access PDF

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.

Topics & Concepts

Modality (human–computer interaction)Image fusionComputer scienceArtificial intelligenceImage (mathematics)FusionComputer visionImage qualityLinguisticsPhilosophyAdvanced Image Fusion TechniquesImage Enhancement TechniquesRemote-Sensing Image Classification