ArticleMagnetic resonance in medicine2023
Vespa: Integrated applications for RF pulse design, spectral simulation and MRS data analysis.
Article in Magnetic resonance in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.
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Who cites it
82 citing papers in PubMed.
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- Phase Correction of MR Spectroscopic Imaging Data Using Model-Based Signal Estimation and Extrapolation.IEEE transactions on bio-medical engineering · 2026Article
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- Ataxin-3 Overexpression via Adeno-associated Viral Vector Injection in the Primate Cerebellum: A Novel Model of Spinocerebellar Ataxia Type 3.Experimental neurobiology · 2025Article
- Ultrafast J-resolved magnetic resonance spectroscopic imaging for high-resolution metabolic brain imaging.Nature biomedical engineering · 2025Article
- SMART MRS: A Simulated MEGA-PRESS ARTifacts toolbox for GABA-edited MRS.Magnetic resonance in medicine · 2025Article
- MRS-Sim: Open-Source Framework for Simulating In Vivo-Like Magnetic Resonance Spectra.NMR in biomedicine · 2025Article
- The Goldilocks Zone for 3-T MRS Studies Using Semi-LASER: Determining the Optimal Balance Between Repetition Time and Scan Time.NMR in biomedicine · 2025Article
- NNFit: A Self-Supervised Deep Learning Method for Accelerated Quantification of High-Resolution Short-Echo-Time MR Spectroscopy Datasets.Radiology. Artificial intelligence · 2025Article
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- Fast Hadamard-Encoded 7T Spectroscopic Imaging of Human Brain.Tomography (Ann Arbor, Mich.) · 2025Article
22 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
Abstract
purposeThe Vespa package (Versatile Simulation, Pulses, and Analysis) is described and demonstrated. It provides workflows for developing and optimizing linear combination modeling (LCM) fitting for THEORY AND
methodsVespa is written in Python for compatibility across operating systems. It embeds the PyGAMMA spectral simulation library for spectral simulation. Multiprocessing methods accelerate processing and visualization. Applications use the Vespa database for results storage and cross-application access. Three projects demonstrate pulse, sequence, simulation, and data analysis workflows: (1) short TE semi-LASER single-voxel spectroscopy (SVS) LCM fitting, (2) optimizing MEGA-PRESS (MEscher-GArwood Point RESolved Spectroscopy) flip angle and LCM fitting, and (3) creating a synthetic short TE dataset.
resultsThe LCM workflows for in vivo basis set creation and spectral analysis showed reasonable results for both the short TE semi-LASER and MEGA-PRESS. Examples of pulses, simulations, and data fitting are shown in Vespa application interfaces for various steps to demonstrate the interactive workflow.
conclusionVespa provides an efficient and extensible platform for characterizing RF pulses, pulse design, spectral simulation optimization, and automated LCM fitting via an interactive platform. Modular design and command line interface make it easy to embed in other platforms. As open source, it is free to the MRS community for use and extension. Vespa source code and documentation are available through GitHub.
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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.