title: Automatic segmentation of head MRI images by knowledge guided thresholding.
abstract: In this paper we present a procedure which automatically extracts soft-tissue from multi-sliced head MRI images, and then displays three-dimensional shapes of the extracted soft-tissues. We use an iterative thresholding algorithm for segmentation in which an optimum threshold value is decided based on a goodness measure we proposed. This procedure can be used in a preliminary diagnosis in brain surgery without much effort of users, because of whole procedure including threshold selection and segmentation is performed automatically for rendering a three-dimensional image of soft-tissue's surface on a graphic terminal.
authors.affiliation: Faculty of Engineering, Nagoya University, Japan.
authors.forename: H
authors.initials: H
authors.lastname: Suzuki
authors.forename: J
authors.initials: J
authors.lastname: Toriwaki
mesh_terms: D000273:Adipose Tissue / Q000033:anatomy & histology; D000465:Algorithms; D003196:Computer Graphics; D003238:Connective Tissue / Q000033:anatomy & histology; D006257:Head / Q000033:anatomy & histology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D012016:Reference Values; D012985:Software Design