Fast Registration of Cardiac Perfusion MRI

Mikkel Bille Stegmann; Henrik B. W. Larsson

Fast Registration of Cardiac Perfusion MRI

Mikkel Bille Stegmann, Henrik B. W. Larsson

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Abstract

This abstract presents a novel method for registration of cardiac perfusion MRI sequences. By performing complex analyses of variance and clustering in an annotated training set off-line, our method provides real-time segmentation in an on-line setting. This renders the method feasible for live motion-compensation in MR scanners. Changes in image intensity during the bolus passage are modelled by an Active Appearance Model augmented with a cluster analysis of the training set. Preliminary validation carried out using five subjects showed acceptable segmentation accuracy produced very rapidly (below 40 ms per image)

Original language	English
Title of host publication	Proc. International Society of Magnetic Resonance In Medicine - ISMRM 2003, Toronto, Ontario, Canada
Number of pages	702
Publisher	ISMRM
Publication date	2003
Publication status	Published - 2003
Event	Proc. International Society of Magnetic Resonance In Medicine - ISMRM 2003, Toronto, Ontario, Canada - Berkeley, CA, USA Duration: 1 Jan 2003 → …

Conference

Conference	Proc. International Society of Magnetic Resonance In Medicine - ISMRM 2003, Toronto, Ontario, Canada
City	Berkeley, CA, USA
Period	01/01/2003 → …

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title = "Fast Registration of Cardiac Perfusion MRI",

abstract = "This abstract presents a novel method for registration of cardiac perfusion MRI sequences. By performing complex analyses of variance and clustering in an annotated training set off-line, our method provides real-time segmentation in an on-line setting. This renders the method feasible for live motion-compensation in MR scanners. Changes in image intensity during the bolus passage are modelled by an Active Appearance Model augmented with a cluster analysis of the training set. Preliminary validation carried out using five subjects showed acceptable segmentation accuracy produced very rapidly (below 40 ms per image)",

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AB - This abstract presents a novel method for registration of cardiac perfusion MRI sequences. By performing complex analyses of variance and clustering in an annotated training set off-line, our method provides real-time segmentation in an on-line setting. This renders the method feasible for live motion-compensation in MR scanners. Changes in image intensity during the bolus passage are modelled by an Active Appearance Model augmented with a cluster analysis of the training set. Preliminary validation carried out using five subjects showed acceptable segmentation accuracy produced very rapidly (below 40 ms per image)

M3 - Article in proceedings

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PB - ISMRM

T2 - Proc. International Society of Magnetic Resonance In Medicine - ISMRM 2003, Toronto, Ontario, Canada

Y2 - 1 January 2003

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Fast Registration of Cardiac Perfusion MRI

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