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Updated: Feb 13, 2026

Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants
Published on: March 14, 2013
Assessment of cerebral blood flow in neonates and infants: A phase-contrast MRI study
Peiying Liu1, Ying Qi2, Zixuan Lin1
1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Insights
Phase-contrast MRI enables accurate cerebral blood flow (CBF) measurement in infants. This study provides age-specific recommendations for optimizing CBF quantification in neonates and young children.
Area of Science:
- Medical Imaging
- Pediatric Neurology
- Cardiovascular Physiology
Background:
- Abnormal cerebral blood flow (CBF) is linked to neonatal and infant diseases.
- Current CBF measurement methods like arterial spin labeling (ASL) have limitations in young children due to low signal-to-noise ratio (SNR) and quantification challenges.
- Rapid physiological changes in infants complicate the selection of MRI sequence parameters.
Purpose of the Study:
- To apply and validate phase-contrast (PC) MRI for quantifying CBF in neonates and infants up to 18 months of age.
- To establish reliable methods for measuring CBF in a pediatric population where it is clinically challenging.
- To provide age-specific guidance for optimizing PC-MRI parameters for infant brain imaging.
Main Methods:
- Compared time-of-flight (TOF) MR angiogram implementations for visualizing brain arteries.
- Measured flow velocity and CBF in the internal carotid artery (ICA) and vertebral artery (VA) using PC-MRI with multiple encoding velocities (Venc) in 21 subjects.
- Analyzed age-related changes in CBF relative to brain volume.
Main Results:
- Peak arterial flow velocity in the ICA increased from 10.2 cm/s at birth to 56.0 cm/s at 18 months.
- Peak VA flow velocity ranged from 4.5 to 36.3 cm/s during the same period.
- CBF showed a significant age-related increase (p < 0.001) from 13.1 to 84.7 ml/100g/min within the first 18 months.
Conclusions:
- PC-MRI is a promising technique for reliable global CBF assessment in infants.
- The study provides crucial data on CBF development in early life and age-specific Venc recommendations for PC-MRI.
- This work may establish a foundation for accurate whole-brain CBF measurement in pediatric populations.
Abstract:
Abnormal cerebral blood flow (CBF) is implicated in several neonatal and infant diseases. However, measurement of CBF in this population remains difficult and has not been used in routine clinical MRI. Arterial spin labeling (ASL) methods suffer from both low SNR and poor quantification when applied to very young children. Furthermore, rapid change in brain physiology in this age range makes it difficult to choose sequence parameters such as labeling pulse flip angle and post labeling delay. Phase-contrast (PC) MRI is another approach to measure flow. It provides fast and reliable global CBF assessment, and has great promises in pediatric applications. In this study, we aimed to apply PC-MRI technique for CBF quantification in neonates and infants up to 18 months of age. We first compared several implementations of time-of-flight (TOF) MR angiogram for the visualization of brain's feeding arteries, which provides anatomical information for the positioning of PC-MRI scans. We then measured flow velocity and CBF of the internal carotid artery (ICA) and vertebral artery (VA) in 21 subjects (age 34-114 gestational weeks, 3 females, 18 males), using six encoding velocities (Venc) in each vessel. In ICA, peak arterial flow velocity was 10.2 cm/s at birth and increased to 56.0 cm/s at 18 months old. These values were 4.5-36.3 cm/s, respectively, for VA. CBF after accounting for brain volume revealed a significant (p < 0.001) age-related increase from 13.1 to 84.7 ml/100 g/min within the first 18 months after birth. Based on the peak flow velocity, we provided age-specific recommendations for Venc selection in PC-MRI when one only has time for one scan. The present study used a multi-Venc scheme to determine flow velocities in major feeding arteries of infant brain and may lay a foundation for accurate measurement of whole-brain CBF in this population.
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