Matching of tomographic slices for interpolation

Author

Goshtasby, Ardeshir ; Turner, David A. ; Ackerman, Laurens V.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA

Volume

11

Issue

4

fYear

1992

fDate

12/1/1992 12:00:00 AM

Firstpage

507

Lastpage

516

Abstract

An automatic method that can transform a sequence of tomographic image slices into an isotropic volume data set is described. In this method, correspondence is established between points in consecutive slices, and then this correspondence is used to estimate data between the slices by linear interpolation. The method takes advantage of the fact that consecutive slices have small geometric differences, and carries out the search in predicted small neighborhoods. Only points with high gradient magnitudes are used in the search process to increase the reliability of the correspondences. Mismatches that occur are detected and corrected using the continuity constraint in the correspondences. Experimental results showing the matching and interpolation of magnetic resonance slices and computed tomography slices are presented

Keywords

computerised tomography; interpolation; medical image processing; automatic method; computed tomography; continuity constraint; isotropic volume data set; magnetic resonance; medical diagnostic imaging; mismatches; points correspondence; predicted small neighborhoods; small geometric differences; tomographic slices matching; Biomedical imaging; Computed tomography; Image generation; Image matching; Image resolution; Interpolation; Medical diagnostic imaging; Nuclear medicine; Pixel; Radiology;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.192686

Filename

192686