Optimizing scan times in clinical neuroimaging: the potential of synthetic MRI

Reducing scan time with 3D SI is feasible and depends on the scan time of 3D SI, the type and frequency of performed protocols, and its ability to meet high-quality requirements. The effectiveness is most pronounced when 3D SI can replace traditional weighted images while maintaining diagnostic standards.

Authors

Institutions

Publication Details

Journal
Journal of Medical Economics
Published
2025-04-21
DOI
https://doi.org/10.1080/13696998.2025.2496065
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

Optimizing scan times in clinical neuroimaging: the potential of synthetic MRI

Fabian Stahl, Frauke Kellner‐Weldon, Alexander von Hessling
1 citations
Journal of Medical Economics
Advanced MRI Techniques and Applications
1.36
article

Optimizing scan times in clinical neuroimaging: the potential of synthetic MRI

Fabian Stahl, Frauke Kellner‐Weldon, Alexander von Hessling
article en
1 citations

Abstract

Reducing scan time with 3D SI is feasible and depends on the scan time of 3D SI, the type and frequency of performed protocols, and its ability to meet high-quality requirements. The effectiveness is most pronounced when 3D SI can replace traditional weighted images while maintaining diagnostic standards.

Journal of Medical EconomicsVol. 28(1)
University of Lucerne (CH)
Openalex Percentile: Top 21%
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.