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Updated: May 7, 2026

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
Published on: May 31, 2024
Cerebral blood flow quantification in swine using pseudo-continuous arterial spin labeling
Megan E Johnston1, Zhenlin Zheng, Joseph A Maldjian
1Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
This study successfully developed quantitative cerebral blood flow (CBF) imaging in swine using pseudo-continuous arterial spin labeling (PCASL). This method offers a cost-effective model for studying human cerebral perfusion and blood flow-related injuries.
Area of Science:
- Neuroimaging
- Physiology
- Medical Imaging
Background:
- Cerebral blood flow (CBF) is crucial for brain function.
- Swine models offer valuable insights into human cerebrovascular physiology.
- Accurate CBF quantification is essential for understanding neurological conditions.
Purpose of the Study:
- To establish quantitative cerebral blood flow (CBF) imaging in swine using pseudo-continuous arterial spin labeling (PCASL).
- To adapt PCASL techniques considering swine cerebrovascular anatomy and physiology.
- To validate PCASL for reliable CBF and arterial transit time (ATT) measurements in a swine model.
Main Methods:
- Developed and optimized PCASL parameters for swine, including labeling efficiency and velocity.
- Measured key physiological parameters such as T1bl, M0bl, and T1gm in swine.
- Generated quantitative CBF and ATT maps from PCASL data in two subjects.
Main Results:
- Achieved an average labeling efficiency of 0.930 across measured velocities (5-18 cm/s).
- Determined average physiological values: T1bl (1546 ms), T1gm (1224 ms), and M0 ratio (1.25).
- Reported global average CBF of 54.05 mL/100 g/min and ATT of 1261 ms.
Conclusions:
- Demonstrated the feasibility of PCASL for quantitative CBF imaging in swine.
- PCASL in swine provides an accessible and cost-effective model for human cerebral perfusion research.
- This model can advance the investigation of injuries impacting cerebral blood flow.
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