A4 Refereed article in a conference publication
Performance of an image-based motion compensation algorithm for the HRRT: A striatum-phantom study with true motion
Authors: Jarkko Johansson, Sune Keller, Jouni Tuisku, Mika Teräs
Editors: -
Conference name: IEEE Nuclear Science Symposium and Medical Imaging Conference
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2016
Book title : 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)
Journal name in source: 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
eISBN: 978-1-5090-1642-6
DOI: https://doi.org/10.1109/NSSMIC.2016.8069586
High Resolution Research Tomograph (HRRT, Siemens) is a dedicated human
brain PET scanner with nearly isotropic and shift invariant
reconstructed resolution of 2.5 mm (FWHM) as measured using a point
source and reconstruction settings of NEMA standard [1]. Spatial
resolution can be however significantly degraded if the imaged object is
moving during PET scanning resembling impact of partial volume effect
(PVE). Head motion is particularly detrimental in brain studies
investigating e.g. tracer receptor binding in the small brain nuclei,
and their displacement thereof. In fact, decreased tracer uptake as
depicted by time-activity curve (TAC) data may often be due to head
motion rather than inhibition of tracer binding (c.f. [2]).
