Quantitative perfusion measurements using pulsed arterial spin labeling: Effects of large region‐of‐interest analysis
- 19 May 2005
- journal article
- conference paper
- Published by Wiley in Journal of Magnetic Resonance Imaging
- Vol. 21 (6) , 676-682
- https://doi.org/10.1002/jmri.20329
Abstract
Purpose To study arterial spin labeling (ASL) MRI techniques and to investigate various problematic issues that still hinder the accurate and robust quantitative analysis of ASL data. Materials and Methods A pulsed‐ASL (PASL) sequence was implemented on a 3‐T imaging system and a protocol was developed for the measurement of perfusion based on fitting to a standard kinetic model. Both numerical simulations and multi‐inversion time MRI data were analyzed. The effect of fitting a kinetic curve to a large region of interest (ROI) with a distribution of arterial transit times was compared to a pixel‐by‐pixel (PBP) method. Results It was found that a significant underestimation of perfusion of approximately 17 ± 6% (P < 0.001) occurs in gray matter, when comparing an ROI with a PBP analysis over a group of 12 healthy subjects. Conclusion Analysis of ASL data based on a large ROI may suffer from inaccuracies arising from a distribution of transit times, implying that averaging of ASL kinetic data over such regions should therefore be avoided. When possible, a PBP fit should be performed. J. Magn. Reson. Imaging 2005;21:676–682.Keywords
This publication has 8 references indexed in Scilit:
- Normal cerebral perfusion measurements using arterial spin labeling: Reproducibility, stability, and age and gender effectsMagnetic Resonance in Medicine, 2004
- Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain ImagesNeuroImage, 2002
- Arterial spin labeling in combination with a look‐locker sampling strategy: Inflow turbo‐sampling EPI‐FAIR (ITS‐FAIR)Magnetic Resonance in Medicine, 2001
- Rapid T1 mapping using multislice echo planar imagingMagnetic Resonance in Medicine, 2001
- Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithmIEEE Transactions on Medical Imaging, 2001
- Measuring Cerebral Blood Flow Using Magnetic Resonance Imaging TechniquesJournal of Cerebral Blood Flow & Metabolism, 1999
- A general kinetic model for quantitative perfusion imaging with arterial spin labelingMagnetic Resonance in Medicine, 1998
- Implementation of quantitative perfusion imaging techniques for functional brain mapping using pulsed arterial spin labelingNMR in Biomedicine, 1997