arXiv subjects

Gianna Nossa

Publications and source records attributed to Gianna Nossa.

3 recordsLinked to original sources

arXiv2025

Mastering Preclinical Fast MRSI: From Setup to Execution

MR experiments are essential for studying brain metabolism, yet preclinical 1H-MRSI remains underdeveloped, with significant limitations in SNR, acquisition speed, and automated data processing. Although recent advances-such as accelerated sequences, denoising strategies, and ultra-high-field systems-have begun to reduce these barriers, preclinical MRSI still lags far behind the human research field in accessibility and routine use. Based on our expertise, we have created this guide that outlines a complete workflow for acquiring and analyzing high-quality fast MRSI data in rodent brains at ultra-high fields (9.4T and 14.1T), enabling novice users to perform reliable experiments using optimized MRSI sequences (FID-MRSI, SE-MRSI, and PRESS-MRSI) and standardized processing pipelines, while also highlighting strategies to further improve acquisition speed, coverage, and reproducibility. Overall, this paper provides a strong foundation for future methodological advances that will expand metabolic imaging capabilities and deepen insights into brain function and disease.

physics.med-ph↗

arXiv2025

Optimization and application of ultra-high field preclinical high-resolution and 3D 1H-MRSI using compressed sensing

Proton magnetic resonance spectroscopic imaging (1H-MRSI) at ultra-high field has seen an increase in usage in the preclinical field. Challenges related to long acquisition time and low concentration of brain metabolites in the rodent brain have led to the development and application of acceleration schemes for 3D-1H-MRSI, such the undersampling technique Compressed Sensing (CS). This present study aims to explore the CS tool in the context of preclinical in vivo application in order to achieve high-resolution MRSI acquisition in both 2D with an in-plane increase and 3D/multi-slice acquisition with through-plane. The parameters are explored to achieve the highest acceleration possible as a way to make 3D as time efficient as possible. Results of the parameter study showed that an acceleration factor (AF) of 4 was possible with the right sampling size of the core at the center of the k-space. With this specific set, higher matrix size resulting in sub 1 {\mu}L nominal voxel size was explored with 2D-FID-MRSI and 9 supplementary phase-encoding/slices were added to achieve 3D-FID-MRSI. The spectral quality and the metabolic maps were accurate enough in the comparison with the non-accelerated 2D-FID-MRSI, within the slice of interest. Issues related with the point spread function (PSF) were noted throughout the different usage of CS. Our work presents a robust and effective protocol to achieve 3D-1H-MRSI using CS in order to reach an acquisition time below the 30 minutes bar, with minimal technical limitations and high-quality acquisition.

physics.med-ph↗

arXiv2024

Reproducibility Made Easy: A Tool for Methodological Transparency and Efficient Standardized Reporting based on the proposed MRSinMRS Consensus

A recent expert consensus found that non-standard reporting in MRS studies led to poor reproducibility. In order to address this, MRSinMRS guidelines were introduced; however, because of the disparate nomenclature and data formats, adoption has been slow. To get around this problem, REMY, a toolbox that supports major vendor formats, was created. By efficiently filling in important fields in the MRSinMRS table, it improves reproducibility. Even with certain hardware-related restrictions, REMY makes a substantial contribution to the completion of acquisition parameters, which facilitates reporting. Its compatibility and user-friendly interface should promote widespread adoption of MRSinMRS, raising the caliber of MRS research.

physics.med-ph↗