Multimodality Medical Image Fusion

Presenter Name: Dr. Nahed Tawfik

Lecture Date:8/16/2021 11:00:00 AM

lecture Topic: PHD Thesis

Department: Computers and Systems

Lecture Title:
Multimodality Medical Image Fusion

Lecture Summary:

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 Angiography (MRA), Positron Emission Tomography (PET), 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 lecture presents multimodality medical image fusion methods for enhancing the fused image quality.

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