Title :
Segmentation and analysis of 3D volume images
Author :
Ylä-Jääski, Juha ; Kübler, Olaf
Author_Institution :
ETH, Zurich, Switzerland
Abstract :
An algorithm is presented for the segmentation of volume data acquired in medicine by computer tomography (CT) or magnetic resonance (MR) imaging. The algorithm is based on edge detection by a 3-D implementation of the difference of Gaussians or the Laplace of Gaussians operator followed by an object refinement procedure. This consists of matched filters and/or a decision strategy which is included in a 3-D connected-component labelling procedure. Results from the analysis of segmented CT and MR data are presented utilizing an advanced display facility and quantitative 3-D analysis techniques
Keywords :
biomedical NMR; computerised picture processing; computerised tomography; medical diagnostic computing; 3D volume images; Gaussians operator; computer tomography; computerised picture processing; edge detection; filters; labelling; magnetic resonance imaging; medical diagnostic computing; object refinement; segmentation; Biomedical imaging; Computed tomography; Gaussian processes; Image analysis; Image edge detection; Image segmentation; Magnetic analysis; Magnetic resonance; Magnetic resonance imaging; Matched filters;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28411
