Validation of an ultrahigh contrast divided subtracted inversion recovery technique using a standard T<sub>1</sub> phantom

The divided subtracted inversion recovery (dSIR) is a high T<sub>1</sub> contrast technique that shows changes in white matter in patients with traumatic brain injury and hypoxic injury. The changes can be explained by small differences in T<sub>1</sub>; however, to date, there has been no independent validation of the technique using a standard reference. The present study develops the theory of the dSIR signal and performs validation using the NIST/ISMRM T<sub>1</sub> phantom. Non-idealities are explored, including the influence of noise bias and finite repetition time (TR), which leads to the introduction of an optimally efficient TR for inversion recovery acquisitions. Results show excellent agreement with theoretical calculations.

Authors

Institutions

Publication Details

Journal
NMR in Biomedicine
Published
2024-10-02
DOI
https://doi.org/10.1002/nbm.5269
Citations
4
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.62

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validation of an ultrahigh contrast divided subtracted inversion recovery technique using a standard T1 phantom

Gil Newburn, Tracy R. Melzer, Samantha J. Holdsworth, Daniel Cornfeld et al.
4 citations
NMR in Biomedicine
Advanced MRI Techniques and Applications
1.62
article

Validation of an ultrahigh contrast divided subtracted inversion recovery technique using a standard T1 phantom

Gil Newburn, Tracy R. Melzer, Samantha J. Holdsworth, Daniel Cornfeld, Maryam Tayebi, Graeme M. Bydder, Miriam Scadeng, Paul Condron, Mark Bydder, Fadil Ali, Eryn Kwon
article en
4 citations

Abstract

The divided subtracted inversion recovery (dSIR) is a high T<sub>1</sub> contrast technique that shows changes in white matter in patients with traumatic brain injury and hypoxic injury. The changes can be explained by small differences in T<sub>1</sub>; however, to date, there has been no independent validation of the technique using a standard reference. The present study develops the theory of the dSIR signal and performs validation using the NIST/ISMRM T<sub>1</sub> phantom. Non-idealities are explored, including the influence of noise bias and finite repetition time (TR), which leads to the introduction of an optimally efficient TR for inversion recovery acquisitions. Results show excellent agreement with theoretical calculations.

NMR in BiomedicineVol. 37(12)
Cleveland Clinic (US), University of Auckland (NZ), University of California San Diego (US), New Zealand Brain Research Institute (NZ), Medical Research Institute of New Zealand (NZ), Mātai Medical Research Institute, University of Otago (NZ)
Hugh Green Foundation, GE Healthcare
Openalex Percentile: Top 16%
Advanced MRI Techniques and Applications
1.62
DOISourceOpenAlex
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.

Validation of an ultrahigh contrast divided subtracted inversion recovery technique using a standard T<sub>1</sub> phantom — Gil Newburn, Tracy R. Melzer, et al. · NMR in Biomedicine (2024) | TGRS Research Map | TGRS