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Updated: Mar 10, 2026

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
Published on: May 31, 2024
A comparison study between the saturation-recovery-T1 and CASL MRI methods for quantitative CBF imaging
Xiao Wang1, Xiao-Hong Zhu2, Yi Zhang2
1Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota Medical School, Minneapolis, MN, USA; Diagnostic Radiology Residency Program, Department of Radiology, University of Minnesota Medical School, Minneapolis, MN, USA.
The novel saturation-recovery T1 MRI method accurately quantifies cerebral blood flow (CBF) changes. This technique shows excellent agreement with established methods, validating its use for in vivo CBF imaging.
Area of Science:
- Magnetic Resonance Imaging
- Neuroscience
- Physiology
Background:
- Cerebral blood flow (CBF) is a critical physiological parameter.
- Accurate and quantitative CBF measurement is essential for understanding brain function and disease.
- Existing methods for CBF quantification have limitations.
Purpose of the Study:
- To compare the novel saturation-recovery T1 (SR-T1) MRI method for CBF change (ΔCBF) quantification with a continuous arterial spin labeling (CASL) approach.
- To validate the SR-T1 MRI method in normal and middle cerebral artery occlusion (MCAo) rat models.
- To determine the intrinsic longitudinal relaxation rate (R1int) in vivo.
Main Methods:
- SR-T1 MRI was used to measure ΔCBF during hypercapnia in rat models.
- CASL MRI was employed as a reference perfusion imaging method.
- Experimental determination of R1int by comparing R1app and CBF measurements.
Main Results:
- Excellent agreement was observed between ΔCBF values measured by SR-T1 MRI and CASL.
- The intrinsic longitudinal relaxation rate (R1int) was successfully determined in vivo.
- The study validated the relationship between brain tissue water relaxation rates and cerebral perfusion.
Conclusions:
- The SR-T1 MRI method provides a feasible and accurate approach for quantitative in vivo imaging of CBF and its changes.
- This method holds promise for clinical applications in assessing cerebrovascular health.
- The determination of R1int enables direct CBF calculation from R1app measurements in healthy brain.

