Motion detection and correction for dynamic super(15)O-water myocardial perfusion PET studies

• Published in: European journal of nuclear medicine and molecular imaging 2005-12, Vol.32 (12), p.1378-1383
• Main Authors: Naum, A, Laaksonen, MS, Tuunanen, H, Oikonen, V, Teraes, M, Kemppainen, J, Jaervisaio, MJ, Nuutila, P, Knuuti, J
• Format: Article
• Language: English
• ISSN: 1619-7070
• DOI: 10.1007/s00259-005-1846-4

Purpose Patient motion during dynamic PET studies is a well-documented source of errors. The purpose of this study was to investigate the incidence of frame-to-frame motion in dynamic super(15)O-water myocardial perfusion PET studies, to test the efficacy of motion correction methods and to study whether implementation of motion correction would have an impact on the perfusion results. Methods We developed a motion detection procedure using external radioactive skin markers and frame-to-frame alignment. To evaluate motion, marker coordinates inside the field of view were determined in each frame for each study. The highest number of frames with identical spatial coordinates during the study were defined as "non-moved". Movement was considered present if even one marker changed position, by one pixel/frame compared with reference, in one axis, and such frames were defined as " moved". We tested manual, in-house-developed motion correction software and an automatic motion correction using a rigid body point model implemented in MIPAV (Medical Image Processing, Analysis and Visualisation) software. After motion correction, remaining motion was re-analysed. Myocardial blood flow (MBF) values were calculated for both non-corrected and motion-corrected datasets. Results At rest, patient motion was found in 18% of the frames, but during pharmacological stress the fraction increased to 45% and during physical exercise it rose to 80%. Both motion correction algorithms significantly decreased (p