3-D segmentation of MR images of the head for 3-D display

Author

Bomans, Michael ; Höhne, Karl-heinz ; Tiede, Ulf ; Riemer, Martin

Author_Institution

Inst. of Math. & Comput. Sci. in Med., Univ. Hospital Eppendorf, Hamburg, West Germany

Volume

9

Issue

2

fYear

1990

fDate

6/1/1990 12:00:00 AM

Firstpage

177

Lastpage

183

Abstract

Algorithms for 3-D segmentation and reconstruction of anatomical surfaces from magnetic resonance imaging (MRI) data are presented. The 3-D extension of the Marr-Hildreth operator is described, and it is shown that its zero crossings are related to anatomical surfaces. For an improved surface definition, morphological filters-dilation and erosion-are applied. From these contours, 3-D reconstructions of skin, bone, brain, and the ventricular system can be generated. Results obtained with different segmentation parameters and surface rendering methods are presented. The fidelity of the generated images comes close to anatomical reality. It is noted that both the convolution and the morphological filtering are computationally expensive, and thus take a long time on a general-purpose computer. Another problem is assigning labels to the constituents of the head; in the current implementation, this is done interactively

Keywords

biomedical NMR; computerised picture processing; patient diagnosis; 3D display; 3D segmentation; Marr-Hildreth operator; NMR images; algorithms; anatomical surfaces; bone; brain; convolution; general-purpose computer; head; morphological filtering; skin; surface rendering methods; ventricular system; zero crossings; Bones; Image reconstruction; Image segmentation; Magnetic heads; Magnetic resonance imaging; Magnetic separation; Skin; Surface morphology; Surface reconstruction; Three dimensional displays;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.56342

Filename

56342