This study demonstrates non-invasive arterial input function estimation for cerebral blood flow in healthy subjects, suggesting a safer alternative to standard methods.
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.
No takes yet. Share an insight, caveat, or question.
Wang et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: