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Classification of Digital Angiograms Using Multipulse Excited Linear Prediction Model

Radhika, S and Niranjan, UC and Murthy, ISN (1992) Classification of Digital Angiograms Using Multipulse Excited Linear Prediction Model. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1992, 29th October-1st November, Paris,France, Vol.5, 1862-1863.

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Abstract

A new automated method is presented for the classification of digital angiograms. The technique is based on approximating the given image by a two-dimensional linear prediction (LP) model along with a multipulse excitation sequence, the input to the synthesis filter is a stream of pulses, characterized by their location and amplitudes. The pulse parameters are estimated by minimizing a least squares problem, This results in a pulse pattern which trave~ses the contour of the dye in the angiogram. Excitation of the model by this multipulse sequence reconstructs the image containing only the dye profille. The correlation between multiple frames can be exploited in tracking the dye movements in time.

Item Type: Conference Paper
Additional Information: Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 27 May 2006
Last Modified: 19 Sep 2010 04:27
URI: http://eprints.iisc.ernet.in/id/eprint/6951

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