Surfaces, curves, and points as constraints in nonrigid registration

Author

Kahn, E.G. ; Staib, L.H.

Author_Institution

Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA

Volume

2

fYear

2002

fDate

2002

Firstpage

1003

Abstract

This paper describes a new method for performing nonrigid registration of brain images where gray level matching is augmented with structural information. Segmented surfaces, curves and points are used as constraints to help increase the accuracy of the registration. Control points are placed in the image only where needed such as at places of high curvature and on segmented structures. The resulting algorithm uses the available information effectively in order to produce an accurate registration.

Keywords

brain; image matching; image registration; image segmentation; medical image processing; optimisation; accurate registration; brain images; control points; gray level matching; high curvature places; medical diagnostic imaging; nonrigid registration; segmented surfaces; structural information; Biomedical imaging; Brain; Computed tomography; Displacement control; Image segmentation; Magnetic resonance; Medical diagnostic imaging; Optimization methods; Performance evaluation; Radiology;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1106247

Filename

1106247