Role of TR (Repetition Time) and TE (ECHO Time) in Optimization of Magnetic Resonance Spectroscopy in the Brain Protocol

Introduction: Magnetic Resonance Spectroscopy (MRS) is a non-invasive imaging modality used to quantify brain metabolites, aiding in the diagnosis of neurological disorders. Optimization of acquisition parameters, especially Repetition Time (TR) and Echo Time (TE), is critical for enhancing signal-to-noise ratio (SNR) and metabolite detection. Method: This six-month study involved 100 participants undergoing brain MRS at two tertiary care centers. MRS examinations were performed using a 1.5 Tesla scanner with single-voxel PRESS sequences. TR values (1500–2000 ms) and TE values (30 ms, 144 ms) were varied systematically to assess their impact on SNR, spectral resolution (FWHM), and metabolite detection. Statistical analysis included ANOVA and correlation studies. Results: Longer TR values significantly improved SNR (12.3 ± 1.8 at TR = 1500 ms vs. 14.7 ± 2.1 at TR = 2000 ms; p <0.001). Higher TE values enhanced spectral resolution (FWHM: 0.050 ± 0.005 ppm at TE = 30 ms vs. 0.045 ± 0.004 ppm at TE = 144 ms; p <0.01). Diagnostic accuracy was highest for brain tumors (90%). TR and SNR showed a strong positive correlation (r = 0.851; p <0.001). Conclusion: Optimized TR and TE values significantly enhance metabolite quantification and diagnostic accuracy in MRS, particularly for brain tumors and neurodegenerative diseases.

Authors

Institutions

Publication Details

Journal
National Journal of Medical Research
Published
2025-04-01
DOI
https://doi.org/10.55489/njmr.150220251050
Citations
1
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Role of TR (Repetition Time) and TE (ECHO Time) in Optimization of Magnetic Resonance Spectroscopy in the Brain Protocol

Ashok Sharma, Subhash Chand Sylonia, Swati Tyagi, Lalit Gupta
1 citations
National Journal of Medical Research
Advanced MRI Techniques and Applications
1.36
article

Role of TR (Repetition Time) and TE (ECHO Time) in Optimization of Magnetic Resonance Spectroscopy in the Brain Protocol

Ashok Sharma, Subhash Chand Sylonia, Swati Tyagi, Lalit Gupta
article en
1 citations

Abstract

Introduction: Magnetic Resonance Spectroscopy (MRS) is a non-invasive imaging modality used to quantify brain metabolites, aiding in the diagnosis of neurological disorders. Optimization of acquisition parameters, especially Repetition Time (TR) and Echo Time (TE), is critical for enhancing signal-to-noise ratio (SNR) and metabolite detection. Method: This six-month study involved 100 participants undergoing brain MRS at two tertiary care centers. MRS examinations were performed using a 1.5 Tesla scanner with single-voxel PRESS sequences. TR values (1500–2000 ms) and TE values (30 ms, 144 ms) were varied systematically to assess their impact on SNR, spectral resolution (FWHM), and metabolite detection. Statistical analysis included ANOVA and correlation studies. Results: Longer TR values significantly improved SNR (12.3 ± 1.8 at TR = 1500 ms vs. 14.7 ± 2.1 at TR = 2000 ms; p <0.001). Higher TE values enhanced spectral resolution (FWHM: 0.050 ± 0.005 ppm at TE = 30 ms vs. 0.045 ± 0.004 ppm at TE = 144 ms; p <0.01). Diagnostic accuracy was highest for brain tumors (90%). TR and SNR showed a strong positive correlation (r = 0.851; p <0.001). Conclusion: Optimized TR and TE values significantly enhance metabolite quantification and diagnostic accuracy in MRS, particularly for brain tumors and neurodegenerative diseases.

National Journal of Medical ResearchVol. 15(02)
Santosh University (IN), Ganesh Shankar Vidyarthi Memorial Medical College (IN)
Openalex Percentile: Top 22%
Advanced MRI Techniques and Applications
1.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.