Meeting Banner
Abstract #3255

Quantification of cerebral blood flow using non-invasive image-derived arterial input function with [15O]-water PET/MRI

Biwen Wang1, Chunwei Ying1, John J. Lee1, Manu S. Goyal1, and Hongyu An1
1Radiology, Washington University School of Medicine, St. Louis, MO, United States

Synopsis

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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords