title: Lung motion correction on respiratory gated 3-D PET/CT images.
abstract: Motion is a source of degradation in positron emission tomography (PET)/computed tomography (CT) images. As the PET images represent the sum of information over the whole respiratory cycle, attenuation correction with the help of CT images may lead to false staging or quantification of the radioactive uptake especially in the case of small tumors. We present an approach avoiding these difficulties by respiratory-gating the PET data and correcting it for motion with optical flow algorithms. The resulting dataset contains all the PET information and minimal motion and, thus, allows more accurate attenuation correction and quantification.
authors.affiliation: Department of Nuclear Medicine, University of Münster, D-48149 Münster, Germany. dawood@uni-muenster.de
authors.forename: Mohammad
authors.initials: M
authors.lastname: Dawood
authors.forename: Norbert
authors.initials: N
authors.lastname: Lang
authors.forename: Xiaoyi
authors.initials: X
authors.lastname: Jiang
authors.forename: Klaus P
authors.initials: KP
authors.lastname: Schäfers
mesh_terms: D000465:Algorithms; D016477:Artifacts; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D008168:Lung / Q000000981:diagnostic imaging; D008171:Lung Diseases / Q000175:diagnosis*; D009068:Movement; D049268:Positron-Emission Tomography / Q000379:methods*; D015203:Reproducibility of Results; D015656:Respiratory Mechanics; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*