2D+T acoustic boundary detection in echocardiography.

In this paper we address the problem of spatio-temporal acoustic boundary detection in echocardiography. We propose a phase-based feature detection method to be used as the front end to higher-level 2D+T/3D+T reconstruction algorithms. We develop a 2D+T version of this algorithm and illustrate its p...

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Main Authors: Mulet-Parada, M, Noble, J
Format: Journal article
Language:English
Published: 2000
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author Mulet-Parada, M
Noble, J
author_facet Mulet-Parada, M
Noble, J
author_sort Mulet-Parada, M
collection OXFORD
description In this paper we address the problem of spatio-temporal acoustic boundary detection in echocardiography. We propose a phase-based feature detection method to be used as the front end to higher-level 2D+T/3D+T reconstruction algorithms. We develop a 2D+T version of this algorithm and illustrate its performance on some typical echocardiogram sequences. We show how our temporal-based algorithm helps to reduce the number of spurious feature responses due to speckle and provides feature velocity estimates. Further, our approach is intensity-amplitude invariant. This makes it particularly attractive for echocardiographic segmentation, where choosing a single global intensity-based edge threshold is problematic.
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spelling oxford-uuid:6fdda202-eeb8-4dee-8977-2622da35999f2022-03-26T19:33:25Z2D+T acoustic boundary detection in echocardiography.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:6fdda202-eeb8-4dee-8977-2622da35999fEnglishSymplectic Elements at Oxford2000Mulet-Parada, MNoble, JIn this paper we address the problem of spatio-temporal acoustic boundary detection in echocardiography. We propose a phase-based feature detection method to be used as the front end to higher-level 2D+T/3D+T reconstruction algorithms. We develop a 2D+T version of this algorithm and illustrate its performance on some typical echocardiogram sequences. We show how our temporal-based algorithm helps to reduce the number of spurious feature responses due to speckle and provides feature velocity estimates. Further, our approach is intensity-amplitude invariant. This makes it particularly attractive for echocardiographic segmentation, where choosing a single global intensity-based edge threshold is problematic.
spellingShingle Mulet-Parada, M
Noble, J
2D+T acoustic boundary detection in echocardiography.
title 2D+T acoustic boundary detection in echocardiography.
title_full 2D+T acoustic boundary detection in echocardiography.
title_fullStr 2D+T acoustic boundary detection in echocardiography.
title_full_unstemmed 2D+T acoustic boundary detection in echocardiography.
title_short 2D+T acoustic boundary detection in echocardiography.
title_sort 2d t acoustic boundary detection in echocardiography
work_keys_str_mv AT muletparadam 2dtacousticboundarydetectioninechocardiography
AT noblej 2dtacousticboundarydetectioninechocardiography