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Abstract #1040

ASL perfusion MRI in neonates less than one week of age: arterial suppression and vector-projection-based CBF estimation

Zhiyi Hu1, Jennifer Shepard2, Melike Guryildirim3, Yuto Uchida3, Kenichi Oishi3, Wen Shi4, Peiying Liu5, Vivek Yedavalli3, Aylin Tekes3, Doris Lin3, W. Christopher Golden2, and Hanzhang Lu3,4,6
1Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Eudowood Neonatal Pulmonary Division, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 6F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States

Synopsis

Keywords: Neonatal, Perfusion

Motivation: Arterial-spin labeling (ASL) MRI in newborns less than one week of age is arguably the most challenging application of ASL.

Goal(s): To develop an ASL scheme that provides high-fidelity perfusion maps while minimizing noise and biases.

Approach: We developed a projection-based data processing method to reduced CBF overestimation, and verified its efficacy using simulation, phantom and neonatal ASL data. We further identified optimal arterial saturation to suppress pulsation noise while preserving SNR.

Results: Projection-based complex-subtraction method can mitigate perfusion overestimation bias. Arterial saturation with a 15 cm/s cutoff velocity effectively reduced large-vessel signal fluctuations without affecting tissue perfusion signal.

Impact: Using the proposed ASL acquisition and processing method, high-fidelity perfusion maps can be obtained from early neonates in less than 4 minutes. This technique holds potentials for studying neonatal brain diseases involving perfusion abnormalities.

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Keywords