title: Semiautomated ROI analysis in dynamic MR studies. Part I: Image analysis tools for automatic correction of organ displacements.
abstract: The most important problem in the analysis of time sequences is the compensation for artifactual motion. Owing to motion, medical images of the abdominal region do not represent organs with fixed configuration. Analysis of organ function with dynamic contrast medium studies using regions of interest (ROIs) is thus not readily accomplished. Images of the organ of interest need to be registered and corrected prior to a detailed local analysis. We have developed an image analysis scheme that allows the automatic detection of the organ contours, the extraction of the motion parameters per frame, and the registration of images. The complete procedure requires only minimal user interaction and results in a readjusted image sequence, where organs of interest remain fixed. Both a visual analysis of the dynamic behavior of functional properties and a quantitative statistical analysis of signal intensity versus time within local ROIs are considerably facilitated using the corrected series.
authors.affiliation: Communication Technology Laboratory, Image Science Division, ETH-Zentrum, Zurich, Switzerland.
authors.forename: G
authors.initials: G
authors.lastname: Gerig
authors.forename: R
authors.initials: R
authors.lastname: Kikinis
authors.forename: W
authors.initials: W
authors.lastname: Kuoni
authors.forename: G K
authors.initials: GK
authors.lastname: von Schulthess
authors.forename: O
authors.initials: O
authors.lastname: Kübler
mesh_terms: D000465:Algorithms; D003287:Contrast Media; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007668:Kidney / Q000473:pathology*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008962:Models, Theoretical; D009068:Movement
chemical_list: D003287:Contrast Media