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caliPER: A software for blood-free parametric Patlak mapping using PET/MRI input function

Authors :
Praveen Dassanayake
Lumeng Cui
Elizabeth Finger
Matthew Kewin
Jennifer Hadaway
Andrea Soddu
Bjoern Jakoby
Sven Zuehlsdorf
Keith S St Lawrence
Gerald Moran
Udunna C Anazodo
Source :
NeuroImage, Vol 256, Iss , Pp 119261- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Routine clinical use of absolute PET quantification techniques is limited by the need for serial arterial blood sampling for input function and more importantly by the lack of automated pharmacokinetic analysis tools that can be readily implemented in clinic with minimal effort. PET/MRI provides the ability for absolute quantification of PET probes without the need for serial arterial blood sampling using image-derived input functions (IDIFs). Here we introduce caliPER, a modular and scalable software for simplified pharmacokinetic modeling of PET probes with irreversible uptake or binding based on PET/MR IDIFs and Patlak Plot analysis. caliPER generates regional values or parametric maps of net influx rate (Ki) using reconstructed dynamic PET images and anatomical MRI aligned to PET for IDIF vessel delineation. We evaluated the performance of caliPER for blood-free region-based and pixel-wise Patlak analyses of [18F] FDG by comparing caliPER IDIF to serial arterial blood input functions and its application in imaging brain glucose hypometabolism in Frontotemporal dementia. IDIFs corrected for partial volume errors including spill-out and spill-in effects were similar to arterial blood input functions with a general bias of around 6–8%, even for arteries

Details

Language :
English
ISSN :
10959572
Volume :
256
Issue :
119261-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.4a7df9374b4310bec707d095f0d5c2
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2022.119261