ArticleTheScientificWorldJournal2014
MRI and PET image fusion using fuzzy logic and image local features.
Article in TheScientificWorldJournal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- A comprehensive survey of multi-modality medical image fusion: methods, challenges, and applications.BMC medical imaging · 2026Review
- Advances in TEE-Centric Intraprocedural Multimodal Image Guidance for Congenital and Structural Heart Disease.Diagnostics (Basel, Switzerland) · 2023Review
- Patient-specific approach using data fusion and adversarial training for epileptic seizure prediction.Frontiers in computational neuroscience · 2023Article
- Medical image fusion by sparse-based modified fusion framework using block total least-square update dictionary learning algorithm.Journal of medical imaging (Bellingham, Wash.) · 2022Article
- Hybrid Sharpening Transformation Approach for Multifocus Image Fusion Using Medical and Nonmedical Images.Journal of healthcare engineering · 2021Article
- Medical Image Fusion using bi-dimensional empirical mode decomposition (BEMD) and an Efficient Fusion Scheme.Journal of biomedical physics & engineering · 2020Article
- A novel algorithm for PET and MRI fusion based on digital curvelet transform via extracting lesions on both images.Electronic physician · 2017Article
- Deep Learning Approach for Fusion of Magnetic Resonance Imaging-Positron Emission Tomography Image Based on Extract Image Features using Pretrained Network (VGG19).Journal of medical signals and sensorsArticle
- Multi-Modality Medical Image Fusion Using Cross-Bilateral Filter and Neuro-Fuzzy Approach.Journal of medical physicsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An image fusion technique for magnetic resonance imaging (MRI) and positron emission tomography (PET) using local features and fuzzy logic is presented. The aim of proposed technique is to maximally combine useful information present in MRI and PET images. Image local features are extracted and combined with fuzzy logic to compute weights for each pixel. Simulation results show that the proposed scheme produces significantly better results compared to state-of-art schemes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.