Motion Estimation of Skeletonized Angiographic Images Using Elastic Registration

Brian C.S. Tom, Aggelos K. Katsaggelos

Research output: Contribution to journalArticlepeer-review

35 Scopus citations


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 languageEnglish (US)
Pages (from-to)450-460
Number of pages11
JournalIEEE Transactions on Medical Imaging
Issue number3
StatePublished - Sep 1994

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Motion Estimation of Skeletonized Angiographic Images Using Elastic Registration'. Together they form a unique fingerprint.

Cite this