Enhanced MRI-PET fusion using Laplacian pyramid and empirical mode decomposition for improved oncology imaging
Gunnam Suryanarayana,
Satyanarayana Murthy Nimmagadda,
Sabbavarapu Nageswara Rao,
Ali Mohammed Y. Mahnashi,
Shri Ramtej Kondamuri,
Abdullah Ali Hussain Ahmadini,
Abdullah Ahmed Zaagan and
Ahmed Hussein Msmali
PLOS ONE, 2025, vol. 20, issue 5, 1-16
Abstract:
In the field of oncology imaging, the fusion of magnetic resonance imaging (MRI) and positron emission tomography (PET) modalities is crucial for enhancing diagnostic capabilities. This article introduces a novel fusion method that leverages the strengths of both modalities to overcome limitations associated with functional information in MRI and the spatial resolution in PET scans. Our approach integrates the Laplacian pyramid for extracting high and low-frequency components, along with empirical mode decomposition and phase congruency to preserve crucial structural details in the fused image. Additionally, a rolling guidance filter is employed to mitigate edge detail loss. Through extensive comparative experiments on multi-focus and multi-modal image datasets, our method consistently outperforms existing techniques in terms of visualization, objective metrics, and computational efficiency. The proposed fusion method demonstrates superior performance, establishing it as a compelling alternative for oncology imaging applications.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0322443 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 22443&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0322443
DOI: 10.1371/journal.pone.0322443
Access Statistics for this article
More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().