Abstract
In this paper 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.
Original language | English (US) |
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Pages (from-to) | 450-460 |
Number of pages | 11 |
Journal | IEEE Transactions on Medical Imaging |
Volume | 13 |
Issue number | 3 |
DOIs | |
State | Published - Sep 1994 |
Funding
Manuscript received September 24, 1992; revised November 28, 1993. This material is based on work supported in part by Siemens. This paper was recommended by Associate Editor N. Ayache. B. Tom and A. Katsaggelos are at Northwestern University, Department of Electrical Engineering and Computer Science, McCormick School of Engineering, Evanston IL 60208 USA; e-mail [email protected]. S. Efstratiadis is at the Aristotelian University, Department of Electrical Engineering, Thessaloniki, Greece. IEEE Log Number 9403429.
ASJC Scopus subject areas
- Software
- Radiological and Ultrasound Technology
- Electrical and Electronic Engineering
- Computer Science Applications