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  4. Multiple-TE Based Blood–Brain-Barrier Water Exchange Time Measurement Using a TE-Resolved 3D TSE Stack-Of-Spirals Readout
 
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2026
Journal Article
Title

Multiple-TE Based Blood–Brain-Barrier Water Exchange Time Measurement Using a TE-Resolved 3D TSE Stack-Of-Spirals Readout

Abstract
Purpose:
To develop a slice-wise blurring-free and densely sampled TE-resolved multiple-TE (mTE) ASL sequence (TASL) for measuring blood–brain barrier (BBB) water exchange time.
Methods:
A 3D TSE spiral-readout pCASL sequence was modified to enable TE-resolved acquisition. Signals at mTEs from a single kz partition were acquired within a single shot, and the acquisition was repeated until all required kz partitions were covered. In vivo experiments were conducted on healthy volunteers using both a conventional pCASL sequence and the proposed TASL sequence. Signal intensity modulation, perfusion SNR, and quantitative parameters including cerebral blood flow (CBF), arterial transit time (ATT), intravoxel transit time (ITT), and water exchange time (T exch) were evaluated. Test–retest scans were conducted to assess reproducibility.
Results:
Compared with the conventional mTE acquisition, TASL eliminates T 2 decay-induced slice-wise intensity modulation and blurring, yielding higher whole-brain perfusion SNR across all TEs and PLDs. Estimates of CBF and ATT showed negligible differences between the two methods (both < 1%), whereas mean T exch and ITT values were 18.2% and 9.05% higher, respectively, with TASL. Bland–Altman analysis showed minimal bias, with 95% of differences within the limits of agreement (mean±1.96 SD). The inter-session ICC and wsCV of CBF, ATT, T exch, and ITT in gray matter are 0.86% and 8.38%, 0.96% and 1.98%, 0.93% and 4.04%, and 0.95% and 4.32%, respectively.
Conclusion:
TASL eliminates signal intensity modulation and blurring artifacts while providing densely sampled TE for parametric fitting. It may be a valuable tool for accurate and reliable quantification of cerebral perfusion and BBB permeability.
Author(s)
Li, Bo
University of Maryland School of Medicine
Li, Yiran
University of Maryland School of Medicine
Liang, Xiao
University of Maryland School of Medicine
Mahroo, Amnah
Fraunhofer Institute for Medical Image Computing MEVIS  
Taso, Manuel
University of Pennsylvania Perelman School of Medicine
de Cerio, Marta Vidorreta Díaz
Siemens Healthcare
Franco, Lucas Lemos
University of Maryland School of Medicine
Chang, Yulin
Siemens USA
Seara, María José Fernández
Universidad de Navarra
Günther, Matthias  
Fraunhofer Institute for Medical Image Computing MEVIS  
Detre, John A.
University of Pennsylvania Perelman School of Medicine
Wang, Ze
University of Maryland School of Medicine
Journal
Magnetic resonance in medicine  
Open Access
File(s)
Download (13.86 MB)
Rights
CC BY-NC 4.0: Creative Commons Attribution-NonCommercial
DOI
10.1002/mrm.70450
10.24406/publica-8906
Additional link
Full text
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
Keyword(s)
  • BBB

  • multiple-TE

  • pCASL

  • spiral

  • TE-resolved readout

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