Title: Thresholding-based decision map for CT-MRI fusion in wavelet domain

Authors: Vijayarajan Rajangam; N. Sangeetha; Kethepalli Mallikarjuna

Addresses: Centre for Healthcare Advancement, Innovation and Research, Vellore Institute of Technology, Chennai, Tamil Nadu, India ' Department of Computer Science, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India ' Department of ECE, RGM College of Engineering and Technology, Nandyal, Andhra Pradesh, India

Abstract: Medical image fusion methods combine the salient details of medical images from the same modality or multiple modalities to reduce the redundancy in clinical pathology. This paper proposes a threshold-based decision map for the discrete wavelet coefficients of the source medical images. The fusion rules are implemented for both detail and approximate coefficients based on the decision map, and image fusion is carried out in the wavelet domain. The performance of the proposed method is evaluated using non-reference metrics such as peak signal to noise ratio, quality index, fusion factor and figure of merit. The objective metrics substantiate the performance of the fusion algorithm for the same modality and multimodality image fusion.

Keywords: medical image fusion; discrete wavelet transform; DWT; fusion metrics; multimodal image fusion; MMF.

DOI: 10.1504/IJISTA.2022.125607

International Journal of Intelligent Systems Technologies and Applications, 2022 Vol.20 No.5, pp.383 - 393

Accepted: 04 Feb 2022
Published online: 16 Sep 2022 *

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