Respiratory motion correction in 3-D PET data with advanced optical flow algorithms.

Autor: Dawood M; Department of Mathematics and Computer Science, University of Münster, 48149 Münster, Germany. dawood@uni-muenster.de, Buther F, Jiang X, Schafers KP
Jazyk: angličtina
Zdroj: IEEE transactions on medical imaging [IEEE Trans Med Imaging] 2008 Aug; Vol. 27 (8), pp. 1164-75.
DOI: 10.1109/TMI.2008.918321
Abstrakt: The problem of motion is well known in positron emission tomography (PET) studies. The PET images are formed over an elongated period of time. As the patients cannot hold breath during the PET acquisition, spatial blurring and motion artifacts are the natural result. These may lead to wrong quantification of the radioactive uptake. We present a solution to this problem by respiratory-gating the PET data and correcting the PET images for motion with optical flow algorithms. The algorithm is based on the combined local and global optical flow algorithm with modifications to allow for discontinuity preservation across organ boundaries and for application to 3-D volume sets. The superiority of the algorithm over previous work is demonstrated on software phantom and real patient data.
Databáze: MEDLINE