Impact of subject head motion on quantitative brain super(15)O PET and its correction by image-based registration algorithm

• Published in: Annals of nuclear medicine Vol. 27; no. 4; pp. 335 - 345
• Main Authors: Matsubara, Keisuke, Ibaraki, Masanobu, Nakamura, Kazuhiro, Yamaguchi, Hiroshi, Umetsu, Atsushi, Kinoshita, Fumiko, Kinoshita, Toshibumi
• Format: Journal Article
• Language: English
• Published: 01.05.2013
• ISSN: 0914-7187; 1864-6433
• DOI: 10.1007/s12149-013-0690-z

Objective: Subject head motion during sequential super(15)O positron emission tomography (PET) scans can result in artifacts in cerebral blood flow (CBF) and oxygen metabolism maps. However, to our knowledge, there are no systematic studies examining this issue. Herein, we investigated the effect of head motion on quantification of CBF and oxygen metabolism, and proposed an image-based motion correction method dedicated to super(15)O PET study, correcting for transmission-emission mismatch and inter-scan mismatch of emission scans. Methods: We analyzed super(15)O PET data for patients with major arterial steno-occlusive disease (n = 130) to determine the occurrence frequency of head motion during super(15)O PET examination. Image-based motion correction without and with realignment between transmission and emission scans, termed simple and 2-step method, respectively, was applied to the cases that showed severe inter-scan motion. Results: Severe inter-scan motion (>3 mm translation or >5 degree rotation) was observed in 27 of 520 adjacent scan pairs (5.2 %). In these cases, unrealistic values of oxygen extraction fraction (OEF) or cerebrovascular reactivity (CVR) were observed without motion correction. Motion correction eliminated these artifacts. The volume-of-interest (VOI) analysis demonstrated that the motion correction changed the OEF on the middle cerebral artery territory by 17.3 % at maximum. The inter-scan motion also affected CBV, CMRO sub(2) and CBF, which were improved by the motion correction. A difference of VOI values between the simple and 2-step method was also observed. Conclusions: These data suggest that image-based motion correction is useful for accurate measurement of CBF and oxygen metabolism by super(15)O PET.