Keywords: Data Processing, Flow, image-derived input function cerebral blood flow
Motivation: Arterial sampling for cerebral blood flow (CBF) quantification in PET imaging is invasive and error-prone. Image-derived input function (IDIF) could serve as a noninvasive alternative
Goal(s): Develop a semi-automated blood-free pipeline using MRI-guided PET to derive an IDIF for CBF estimation
Approach: Carotid artery segmentation and partial volume correction were applied to [15O]-water PET images co-registered with MRI to derive IDIF using eight healthy subjects
Results: IDIF-based CBF measurements showed consistency in the test-retest scans, demonstrating the potential for IDIF substitute arterial sampling
Impact: This MRI-guided blood-free IDIF method has the potential to serve as a noninvasive alternative for CBF quantification in PET, improving patient comfort and reducing procedural risks and complexities in clinical and research settings.
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