We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Multimodal Medical Image Registration and Fusion for Quality Enhancement.
- Authors
Azam, Muhammad Adeel; Khan, Khan Bahadar; Ahmad, Muhammad; Mazzara, Manuel
- Abstract
For the last two decades, physicians and clinical experts have used a single imaging modality to identify the normal and abnormal structure of the human body. However, most of the time, medical experts are unable to accurately analyze and examine the information from a single imaging modality due to the limited information. To overcome this problem, a multimodal approach is adopted to increase the qualitative and quantitativemedical information which helps the doctors to easily diagnose diseases in their early stages. In the proposed method, aMulti-resolutionRigidRegistration (MRR) technique is used for multimodal image registration while Discrete Wavelet Transform (DWT) along with Principal Component Averaging (PCAv) is utilized for image fusion. The proposedMRR method provides more accurate results as compared with Single Rigid Registration (SRR), while the proposed DWT-PCAv fusion process adds-on more constructive information with less computational time. The proposed method is tested on CT and MRI brain imaging modalities of the HARVARD dataset. The fusion results of the proposed method are compared with the existing fusion techniques. The quality assessment metrics such as Mutual Information (MI), Normalize Crosscorrelation (NCC) and Feature Mutual Information (FMI) are computed for statistical comparison of the proposed method. The proposed methodology provides more accurate results, better image quality and valuable information for medical diagnoses.
- Subjects
HARVARD University; IMAGE registration; IMAGE fusion; DISCRETE wavelet transforms; DIAGNOSTIC imaging; MULTIMODAL user interfaces; MAGNETIC resonance imaging; BRAIN imaging
- Publication
Computers, Materials & Continua, 2021, Vol 68, Issue 1, p821
- ISSN
1546-2218
- Publication type
Article
- DOI
10.32604/cmc.2021.016131