ARMA Regularization of Cardiac Perfusion Modeling

Philip Batchelor; Amedeo Chiribiri; Niloufar Zarinabad Nooralipour; Zoran Cvetkovic

ARMA Regularization of Cardiac Perfusion Modeling

Philip Batchelor, Amedeo Chiribiri, Niloufar Zarinabad Nooralipour, Zoran Cvetkovic

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

6 Citations (Scopus)

Abstract

Cardiac perfusion modelling using ARMA systems is studied. ARMA is a generalization of a recently proposed exponential approximation technique, which was shown to exhibit better performance than the widely used truncated singular value decomposition method. Experiments demonstrate that ARMA achieves results as accurate as the those obtained using the exponential approximation, but it its at the same time less sensitive to additive noise and model order selection.

Original language	English
Title of host publication	Unknown
Place of Publication	NEW YORK
Publisher	IEEE
Pages	642 - 645
Number of pages	4
ISBN (Print)	978-1-4244-4296-6
Publication status	Published - 2010
Event	2010 IEEE International Conference on Acoustics, Speech, and Signal Processing - Dallas, TX Duration: 14 Mar 2010 → 19 Mar 2010

Publication series

Name	2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING

Conference

Conference	2010 IEEE International Conference on Acoustics, Speech, and Signal Processing
City	Dallas, TX
Period	14/03/2010 → 19/03/2010

Cite this

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title = "ARMA Regularization of Cardiac Perfusion Modeling",

abstract = "Cardiac perfusion modelling using ARMA systems is studied. ARMA is a generalization of a recently proposed exponential approximation technique, which was shown to exhibit better performance than the widely used truncated singular value decomposition method. Experiments demonstrate that ARMA achieves results as accurate as the those obtained using the exponential approximation, but it its at the same time less sensitive to additive noise and model order selection.",

author = "Philip Batchelor and Amedeo Chiribiri and {Zarinabad Nooralipour}, Niloufar and Zoran Cvetkovic",

year = "2010",

language = "English",

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note = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing ; Conference date: 14-03-2010 Through 19-03-2010",

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T1 - ARMA Regularization of Cardiac Perfusion Modeling

AU - Batchelor, Philip

AU - Chiribiri, Amedeo

AU - Zarinabad Nooralipour, Niloufar

AU - Cvetkovic, Zoran

PY - 2010

Y1 - 2010

N2 - Cardiac perfusion modelling using ARMA systems is studied. ARMA is a generalization of a recently proposed exponential approximation technique, which was shown to exhibit better performance than the widely used truncated singular value decomposition method. Experiments demonstrate that ARMA achieves results as accurate as the those obtained using the exponential approximation, but it its at the same time less sensitive to additive noise and model order selection.

AB - Cardiac perfusion modelling using ARMA systems is studied. ARMA is a generalization of a recently proposed exponential approximation technique, which was shown to exhibit better performance than the widely used truncated singular value decomposition method. Experiments demonstrate that ARMA achieves results as accurate as the those obtained using the exponential approximation, but it its at the same time less sensitive to additive noise and model order selection.

UR - http://www.scopus.com/inward/record.url?scp=78049360097&partnerID=8YFLogxK

M3 - Conference paper

SN - 978-1-4244-4296-6

T3 - 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING

SP - 642

EP - 645

BT - Unknown

PB - IEEE

CY - NEW YORK

T2 - 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 14 March 2010 through 19 March 2010

ER -

ARMA Regularization of Cardiac Perfusion Modeling

Abstract

Publication series

Conference

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