Frameless registration of MR and CT 3D volumetric data sets

Author

Kumar, Rakesh ; Dana, Kristin ; Anandan, P. ; Okamoto, Neil ; Bergen, Jim ; Hemler, Paul ; Sumanaweera, Thilaka S. ; Van den Elsen, Petra A. ; Adler, John

Author_Institution

David Sarnoff Res. Center, Princeton, NJ, USA

fYear

1994

fDate

5-7 Dec 1994

Firstpage

240

Lastpage

248

Abstract

In this paper we present techniques for frameless registration of 3D Magnetic Resonance (MR) and Computed Tomography (CT) volumetric data of the head and spine. We present techniques for estimating a 3D affine or rigid transform which can be used to resample the CT (or MR) data to align with the MR (or CT) data. Our technique transforms the MR and CT data sets with spatial filters so they can be directly matched. The matching is done by a direct optimization technique using a gradient based descent approach and a coarse-to-fine control strategy over a 4D pyramid. We present results on registering the head and spine data by matching 3D edges and results on registering cranial ventricle data by matching images filtered by a Laplacian of a Gaussian

Keywords

biomedical NMR; computerised tomography; image registration; medical image processing; parameter estimation; 4D pyramid; Computed Tomography; Magnetic Resonance; cranial ventricle data; direct optimization; frameless registration; gradient based descent; head; matching; spine; volumetric data; Computed tomography; Cranial; Infrared image sensors; Magnetic heads; Magnetic resonance; Neoplasms; Skin; Skull; Spatial filters; Surface fitting;

fLanguage

English

Publisher

ieee

Conference_Titel

Applications of Computer Vision, 1994., Proceedings of the Second IEEE Workshop on

Conference_Location

Sarasota, FL

Print_ISBN

0-8186-6410-X

Type

conf

DOI

10.1109/ACV.1994.341316

Filename

341316