title: Recognition of organs in CT-image sequences: a model guided approach.
abstract: A method is proposed for segmentation of organs in CT-image sequences. An important feature of the method is the use of search areas to guide the segmentation process. Time consuming, data-directed operations are restricted to these areas, instead of being applied to the whole image. A search area for a particular anatomical structure is determined by constraints, derived from a model of the imaged scene and by results already obtained in the recognition process. The method has been successfully applied on recognition of the spleen in abdominal X-ray CT scans.
authors.affiliation: Laboratory of Medical Physics and Biophysics, University of Nijmegen, The Netherlands.
authors.forename: N
authors.initials: N
authors.lastname: Karssemeijer
authors.forename: L J
authors.initials: LJ
authors.lastname: van Erning
authors.forename: E G
authors.initials: EG
authors.lastname: Eijkman
mesh_terms: D006801:Humans; D007091:Image Processing, Computer-Assisted; D008953:Models, Anatomic; D012272:Ribs / Q000000981:diagnostic imaging; D013131:Spine / Q000000981:diagnostic imaging; D013154:Spleen / Q000000981:diagnostic imaging; D013249:Sternum / Q000000981:diagnostic imaging; D014057:Tomography, X-Ray Computed