Motion estimation of skeletonized angiographic images using elastic registration.

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.

journal_name

IEEE Trans Med Imaging

authors

Tom BS,Efstratiadis SN,Katsaggelos AK

doi

10.1109/42.310876

subject

Has Abstract

pub_date

1994-01-01 00:00:00

pages

450-60

issue

3

eissn

0278-0062

issn

1558-254X

journal_volume

13

pub_type

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