Combined Angiographic, Structural and Perfusion Radial Imaging using Arterial Spin Labeling

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Abstract

Purpose To develop a non-contrast MRI method for the simultaneous acquisition of time-resolved 3D angiographic, perfusion and multi-contrast T1-weighted structural brain images in a single six-minute acquisition. Methods The proposed Combined Angiographic, Structural and Perfusion Radial Imaging using Arterial Spin Labeling (CASPRIA) pulse sequence uses pseudocontinuous arterial spin labeling (PCASL) to label inflowing blood, an inversion pulse to provide background suppression and T1-weighted contrast, and a continuous 3D golden ratio spoiled gradient echo readout. Label-control subtraction isolates the blood signal and can be flexibly reconstructed at high/low spatiotemporal resolution for angiography/perfusion imaging. The mean signal retains the static tissue, allowing T1-weighted structural images to be reconstructed at different effective inversion times. CASPRIA was compared with conventional time-of-flight (TOF) angiography, 3D-gradient and spin echo (3D-GRASE) PCASL perfusion imaging and magnetization-prepared rapid gradient echo (MP-RAGE) structural imaging (10 minutes total) in healthy volunteers. Results CASPRIA gave improved distal vessel visibility and fewer artefacts than TOF angiography, whilst also providing dynamic information, with blood transit time and dispersion maps. CASPRIA perfusion images were comparable to 3D-GRASE data, but without through-slice blurring or artefacts in inferior brain regions. Comparable quantitative cerebral blood flow maps were produced, with CASPRIA being significantly more repeatable. Structural CASPRIA images were comparable to MP-RAGE, but also yielded a range of T1-weighted contrasts and allowed quantitative T1 maps to be estimated. Conclusion CASPRIA is an efficient single acquisition to provide intrinsically co-registered quantitative information about brain blood flow and structure that has considerable advantages over conventional methods.
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Abstract

Purpose To develop a non-contrast MRI method for the simultaneous acquisition of time-resolved 3D angiographic, perfusion and multi-contrast T1-weighted structural brain images in a single six-minute acquisition.

Methods

The proposed Combined Angiographic, Structural and Perfusion Radial Imaging using Arterial Spin Labeling (CASPRIA) pulse sequence uses pseudocontinuous arterial spin labeling (PCASL) to label inflowing blood, an inversion pulse to provide background suppression and T1-weighted contrast, and a continuous 3D golden ratio spoiled gradient echo readout. Label-control subtraction isolates the blood signal and can be flexibly reconstructed at high/low spatiotemporal resolution for angiography/perfusion imaging. The mean signal retains the static tissue, allowing T1-weighted structural images to be reconstructed at different effective inversion times. CASPRIA was compared with conventional time-of-flight (TOF) angiography, 3D-gradient and spin echo (3D-GRASE) PCASL perfusion imaging and magnetization-prepared rapid gradient echo (MP-RAGE) structural imaging (10 minutes total) in healthy volunteers.

Results

CASPRIA gave improved distal vessel visibility and fewer artefacts than TOF angiography, whilst also providing dynamic information, with blood transit time and dispersion maps. CASPRIA perfusion images were comparable to 3D-GRASE data, but without through-slice blurring or artefacts in inferior brain regions. Comparable quantitative cerebral blood flow maps were produced, with CASPRIA being significantly more repeatable. Structural CASPRIA images were comparable to MP-RAGE, but also yielded a range of T1-weighted contrasts and allowed quantitative T1 maps to be estimated.

Conclusion

CASPRIA is an efficient single acquisition to provide intrinsically co-registered quantitative information about brain blood flow and structure that has considerable advantages over conventional methods. Competing Interest Statement TO is the sole author of a US patent application that relates to the CAPRIA method that we build on here.

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last seen: 2026-05-20T01:45:00.602351+00:00