Effect of the Temporal Sampling Strategy for the Assessment of Cerebral Perfusion in Multidelay Arterial Spin Labeling

Multidelay arterial spin labeling (ASL) MRI requires balancing temporal resolution with scan duration. The goal of the current study is to evaluate the influence of the temporal sampling strategy, implemented through temporal downsampling, on the quantitative accuracy of cerebral perfusion parameters obtained using multidelay ASL. In this prospective single-center study, 12 healthy volunteers (mean age, 37 ± 9 years; seven men and five women) underwent multidelay pseudo-continuous ASL on a 3-T MRI system. Data were acquired using a variable time repetition scheme with 61 time points at a 75-ms sampling interval. Cerebral blood flow (CBF) and arterial transit time (ATT) maps were calculated using seven temporally downsampled datasets with sampling intervals of 75 (gold standard), 150, 300, 450, 600, 750, and 900 ms. The normalized root mean square error (RMSE) between each sampling interval and the gold standard (75 ms) was calculated for both CBF and ATT. Additionally, subgroup analyses were performed for regions with ATT shorter or longer than the median, as determined from the 75-ms interval dataset. The normalized RMSE of the CBF and ATT increased with more aggressive temporal downsampling. Across all sampling schemes, the normalized RMSE of CBF was significantly lower in regions with shorter ATT than in those with longer ATT (p < 0.05). Temporal sampling configuration influences the quantitative reliability of CBF and ATT estimation. CBF bias is particularly pronounced in regions with prolonged ATT.

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Publication Details

Journal
NMR in Biomedicine
Published
2026-03-17
DOI
https://doi.org/10.1002/nbm.70271
Primary Topic
Advanced MRI Techniques and Applications
Type
article
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article

Effect of the Temporal Sampling Strategy for the Assessment of Cerebral Perfusion in Multidelay Arterial Spin Labeling

Tatsuhiro Wada, Kousei Ishigami, Hidetake Yabuuchi, Toyoyuki Kato et al.
NMR in Biomedicine
Advanced MRI Techniques and Applications
article

Effect of the Temporal Sampling Strategy for the Assessment of Cerebral Perfusion in Multidelay Arterial Spin Labeling

Tatsuhiro Wada, Kousei Ishigami, Hidetake Yabuuchi, Toyoyuki Kato, Koji Yamashita, Osamu Togao, Kazufumi Kikuchi, Makoto Obara, Ryoji Mikayama, Chiaki Tokunaga
article en

Abstract

Multidelay arterial spin labeling (ASL) MRI requires balancing temporal resolution with scan duration. The goal of the current study is to evaluate the influence of the temporal sampling strategy, implemented through temporal downsampling, on the quantitative accuracy of cerebral perfusion parameters obtained using multidelay ASL. In this prospective single-center study, 12 healthy volunteers (mean age, 37 ± 9 years; seven men and five women) underwent multidelay pseudo-continuous ASL on a 3-T MRI system. Data were acquired using a variable time repetition scheme with 61 time points at a 75-ms sampling interval. Cerebral blood flow (CBF) and arterial transit time (ATT) maps were calculated using seven temporally downsampled datasets with sampling intervals of 75 (gold standard), 150, 300, 450, 600, 750, and 900 ms. The normalized root mean square error (RMSE) between each sampling interval and the gold standard (75 ms) was calculated for both CBF and ATT. Additionally, subgroup analyses were performed for regions with ATT shorter or longer than the median, as determined from the 75-ms interval dataset. The normalized RMSE of the CBF and ATT increased with more aggressive temporal downsampling. Across all sampling schemes, the normalized RMSE of CBF was significantly lower in regions with shorter ATT than in those with longer ATT (p < 0.05). Temporal sampling configuration influences the quantitative reliability of CBF and ATT estimation. CBF bias is particularly pronounced in regions with prolonged ATT.

NMR in BiomedicineVol. 39(4)
Kyushu University (JP), Kyushu University Hospital (JP)
Good health and well-being
Openalex Percentile: Top 19%
Advanced MRI Techniques and Applications
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