Survey study of multimodality medical image fusion methods
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Survey study of multimodality medical image fusion methods Nahed Tawfik 1 & Heba A. Elnemr 1 & Mahmoud Fakhr 1 & Moawad I. Dessouky 2 & Fathi E. Abd El-Samie 2,3 Received: 1 April 2019 / Revised: 13 January 2020 / Accepted: 6 March 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
Multimodality medical image fusion is the process of combining multiple images from single or multiple modalities of imaging. Medical image fusion methods are adopted to increase the quality of medical images by attaining the salient features in the fusion results. Hence, they raise the clinical applicability of medical images for appraisal and diagnosis problems. This purpose is achieved by capturing the complementary information presented in two or more images of different modalities in the fusion result. Medical image fusion is generally concerned with Magnetic Resonance Imaging (MRI), Magnetic Resonance Angiogram (MRA), Positron Emission Tomography (PET), Structural Positron Emission Tomography (SPET), Computerized Tomography (CT), and Single-Photon Emission Computed Tomography (SPECT) modalities. Each modality has its merits and drawbacks. This induces new fusion methods for merging information from multiple imaging modalities. Researchers have presented several methods for medical image fusion, and these methods achieved good results. However, medical image fusion is a resurgent field that needs to be enhanced to conquer the increasing challenges. This paper presents a comprehensive survey of some existing medical image fusion methods. It is expected that this study will be useful for the researchers scrutinizing medical image fusion. Furthermore, it is expected to establish a concrete foundation for developing more powerful fusion methods for medical applications. Keywords Imaging modalities . Medical image fusion . MRI . CT . PET . SPECT . Clinical diagnosis
1 Introduction Image fusion is the process of integrating a diversity of images obtained with different imaging modalities. The objective of the fusion process in medical applications is to improve the image
* Nahed Tawfik [email protected] Extended author information available on the last page of the article
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suitability for diagnosis and evaluation of medical problems by preserving and illuminating the salient features [25]. Commonly, medical image fusion is concerned with MRI, PET, CT and SPECT images. The MR images present a superior definition of soft tissues and a higher resolution in the spatial domain. Unfortunately, they provide little information about movements. On the other hand, CT has a significance as a three-dimensional imaging technique with the advantages of better image resolutions and short times for scans. Yet, tissue description is limited. Furthermore, PET provides highly-sensitive images owing to the molecular imaging procedure. However, the obtained images have low resolution. Finally, SPECT is a nuclear imaging technique that is used to explore the blood flow in tissues and
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