title: Mathematical morphology for automatic detection of brain lesions at magnetic resonance imaging.
abstract: An original method of image analysis has been developed, using 'mathematical morphology', in order to detect brain tumors at magnetic resonance imaging of the head following injection of gadolinium-DPTA. The main steps of the analysis are as follows: 1) Spatial reduction by automatic determination of a region of interest, 2) elimination of noise by morphologic filtering (increasing alternate closing-opening sequence), 3) localization of tumor by searching for r-h maxima, and 4) extraction of tumor contours using three-dimensional structuring elements. The preliminary results of this automatic and robust method encourage further studies of the potential of tissue analysis as an aid to tumor diagnosis.
authors.affiliation: Centre de Morphologie Mathématique, Ecole Nationale Supérieure des Mines de Paris, France.
authors.forename: I
authors.initials: I
authors.lastname: Bloch
authors.forename: F
authors.initials: F
authors.lastname: Preteux
authors.forename: E A
authors.initials: EA
authors.lastname: Cabanis
authors.forename: M T
authors.initials: MT
authors.lastname: Iba-Zizen
authors.forename: C
authors.initials: C
authors.lastname: Bourgoin
authors.forename: J
authors.initials: J
authors.lastname: Tamraz
mesh_terms: D001921:Brain / Q000473:pathology; D001932:Brain Neoplasms / Q000175:diagnosis*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008433:Mathematics