ArticleMagnetic resonance in medicine2025
CEST MRI data analysis using Kolmogorov-Arnold network (KAN) and Lorentzian-KAN (LKAN) models.
Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Enhanced Quantitative Phosphocreatine MR Imaging of Skeletal Muscle Using a Global-Local Two-Branch Deep Learning Model.Magnetic resonance in medicine · 2026Article
- FlexCENT: A frequency-flexible CEST imaging network combining frequency offset encoding and three-dimensional U-Net.Magnetic resonance letters · 2026Article
- Robust Extrapolated Semi-Solid Magnetization Transfer Reference Fitting for Quantitative Amide Proton Transfer Imaging at 3 T: Application to Patients With Mild Cognitive Impairment and Mild Dementia.Magnetic resonance in medicine · 2026Article
- Physics-informed optimization of saturation-transfer MRI protocols using non-differentiable Bloch models.Physics in medicine and biology · 2026Article
- CEST MRI data analysis using Kolmogorov-Arnold network (KAN) and Lorentzian-KAN (LKAN) models.Magnetic resonance in medicine · 2025Article
- Double-Step R1rho-Based Lorentzian Fitting (DROF): A New CEST Analysis Approach and Its Comparison With Existing Methods.NMR in biomedicine · 2025Article
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
Abstract
purposeTo investigate the potential of using Kolmogorov-Arnold Network (KAN) and propose Lorentzian-KAN (LKAN) for CEST MRI data analysis (CEST-KAN/CEST-LKAN).
methodsCEST MRI data acquired from 27 healthy volunteers at 3 T were used in this study. Data from 25 subjects were used for training and validation (548 865 Z-spectra), whereas the remaining two were reserved for testing (51 977 Z-spectra). The performance of multi-layer perceptron (MLP), KAN, and LKAN models was evaluated and compared to conventional multi-pool Lorentzian fitting (MPLF) method in generating ΔB
resultsThe KAN and LKAN showed higher accuracy in predicting CEST parameters compared to MLP, with average reductions in test loss of 28.37% and 32.17%, respectively. Voxel-wise correlation analysis also revealed that ΔB
conclusionThis study demonstrates the feasibility of KAN and LKAN for CEST MRI data analysis, highlighting their superiority over MLP. The findings suggest that CEST-KAN and CEST-LKAN have the potential to be robust and reliable post-analysis tools for CEST MRI in clinical settings.
Indexed as
Identifiers
What OpenQuestion holds
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.