Motion estimation of skeletonized angiographic images using elastic registration

Author

Tom, Brian C S ; Efstratiadis, S.N. ; Katsaggelos, Aggelos K.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA

Volume

13

Issue

3

fYear

1994

fDate

9/1/1994 12:00:00 AM

Firstpage

450

Lastpage

460

Abstract

An approach for estimating the motion of arteries in digital angiographic image sequences is proposed. Binary skeleton images are registered using an elastic registration algorithm in order to estimate the motion of the corresponding arteries. This algorithm operates recursively on the skeleton images by considering an autoregressive (AR) model of the deformation in conjunction with a dynamic programming (DP) algorithm. The AR model is used at the pixel level and provides a suitable cost function to DP through the innovation process. In addition, a moving average (MA) model for the motion of the entire skeleton is used in combination with the local AR model for improved registration results. The performance of this motion estimation method is demonstrated on simulated and real digital angiographic image sequences. It is shown that motion estimation using elastic registration of skeletons is very successful especially with low contrast and noisy angiographic images

Keywords

biomechanics; cardiology; diagnostic radiography; image sequences; medical image processing; arterial motion; cost function; dynamic programming algorithm; elastic registration; low contrast images; medical diagnostic images; motion estimation; noisy images; skeletonized angiographic images; Arteries; Cost function; Deformable models; Dynamic programming; Heart; Image sequences; Motion estimation; Recursive estimation; Skeleton; Student members;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.310876

Filename

310876