Visualization of SPIO-labeled pancreatic islets and stem cells using a 3D ultrashort echo time sequences

Abstract Iron based labeling remains one of the most widely used approaches for the cells visualization by magnetic resonance imaging (MRI) due to its simplicity and efficiency compared to alternative methods. In the conventional MRI approach, superparamagnetic iron oxide (SPIO) labeled cells appear as hypointense regions on MR images. However, it is not always possible to identify SPIO labeled cells unambiguously because of the negative contrast of the SPIO particles on the dark background of other body components. Therefore, segmentation and following quantification of SPIO labeled cells remains challenging. MRI techniques called white marker techniques enable their visualization with positive contrast. In this study, we evaluated a 3D ultrashort echo time (UTE) MRI sequence for visualization of SPIO-labeled pancreatic islets and mesenchymal stem cells in vitro and in vivo at 7 T. Difference images were generated by subtracting longer-TE images from ultrashort-TE acquisitions in order to enhance visual contrast around labeled regions. SPIO labeled cells were detected in gel phantoms and after intracerebral transplantation in UTE MRI. Difference imaging generated visually enhanced contrast compared to ultrashort-TE images and improved visual distinction between labeled regions and surrounding tissue where conventional hypointense contrast was difficult to interpret.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-08-26
DOI
https://doi.org/10.1038/s41598-026-67790-6
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Visualization of SPIO-labeled pancreatic islets and stem cells using a 3D ultrashort echo time sequences

David Červený, Miroslava Kapcalová, Zuzana Berková, Daniel Jirák et al.
Scientific Reports
Advanced MRI Techniques and Applications
article

Visualization of SPIO-labeled pancreatic islets and stem cells using a 3D ultrashort echo time sequences

David Červený, Miroslava Kapcalová, Zuzana Berková, Daniel Jirák, Milan Hájek, Pavla Jendelová, Karolína Turnovcová, Sascha Koehler, Sarah Snyder-Herrmann
article en

Abstract

Abstract Iron based labeling remains one of the most widely used approaches for the cells visualization by magnetic resonance imaging (MRI) due to its simplicity and efficiency compared to alternative methods. In the conventional MRI approach, superparamagnetic iron oxide (SPIO) labeled cells appear as hypointense regions on MR images. However, it is not always possible to identify SPIO labeled cells unambiguously because of the negative contrast of the SPIO particles on the dark background of other body components. Therefore, segmentation and following quantification of SPIO labeled cells remains challenging. MRI techniques called white marker techniques enable their visualization with positive contrast. In this study, we evaluated a 3D ultrashort echo time (UTE) MRI sequence for visualization of SPIO-labeled pancreatic islets and mesenchymal stem cells in vitro and in vivo at 7 T. Difference images were generated by subtracting longer-TE images from ultrashort-TE acquisitions in order to enhance visual contrast around labeled regions. SPIO labeled cells were detected in gel phantoms and after intracerebral transplantation in UTE MRI. Difference imaging generated visually enhanced contrast compared to ultrashort-TE images and improved visual distinction between labeled regions and surrounding tissue where conventional hypointense contrast was difficult to interpret.

Scientific Reports
Charles University (CZ), Institute of Clinical and Experimental Medicine (CZ), Czech Academy of Sciences, Institute of Experimental Medicine (CZ), Bruker (Germany) (DE)
Grantová Agentura, Univerzita Karlova, NextGenerationEU
Openalex Percentile: Top 10%
Advanced MRI Techniques and Applications
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.