A LEVEL-SET APPROACH FOR TRACKING OBJECTS IN IMAGE SEQUENCES USING A LEVEL CONSERVATION CONSTRAINT: APPLICATION TO CARDIAC SEQUENCES

被引：0

作者：

Dietenbeck, T. ^{[1
,2
,3
,4
,5
,6
,7
]}

Barbosa, D. ^{[3
,4
,5
,6
,7
,8
]}

Alessandrini, M. ^{[8
]}

D'hooge, J. ^{[8
]}

Friboulet, D. ^{[3
,4
,5
,6
,7
]}

Bernard, O. ^{[3
,4
,5
,6
,7
]}

机构：

[1] Univ Auvergne, Clermont Univ, ISIT, F-63000 Clermont Ferrand, France

[2] CNRS, UMR6284, F-63000 Clermont Ferrand, France

[3] Univ Lyon, CREATIS, Lyon, France

[4] CNRS, UMR5220, F-75700 Paris, France

[5] INSERM, U1044, F-75654 Paris 13, France

[6] INSA Lyon, Lyon, France

[7] Univ Lyon 1, F-69622 Villeurbanne, France

[8] Katholieke Univ Leuven, Cardiovasc Imaging & Dynam, Leuven, Belgium

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2014年

关键词：

Segmentation; tracking; active contour; level-set; shape prior; motion prior; cardiac imaging; SEGMENTATION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Tracking of moving objects in an image sequence is an important task in many application (e.g. medical imaging, robotics). However, this task is usually difficult due to inherent problems that could happen in sequences (i.e. possible occlusion of the object, large interframe motion). In this paper, we describe a new approach to integrate a priori motion information into a level-set-based active contour approach. Specifically, we introduce a new constraint that enforces the conservation of the levels of the implicit function along the image sequence. This constraint is formulated as a motion prior energy and is used in a tracking algorithm. The method is validated quantitatively on a clinical application based on 10 echocardiographic and 5 cine-MRI sequences (approximate to 700 images).

引用

页码：863 / 866

页数：4

共 45 条

[1] MULTIVIEW MYOCARDIAL TRACKING IN ECHOCARDIOGRAPHIC 2D SEQUENCES USING SHAPE AND MOTION CONSTRAINED LEVEL-SET
Dietenbeck, T.
Barbosa, D.
Alessandrini, M.
Jasaityte, R.
Robesyn, V.
D'hooge, J.
Friboulet, D.
Bernard, O.
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[2] Variational Level-Set Segmentation and Tracking of Left Ventricle Using Field Prior
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[3] Application of the Level-Set Model with Constraints in Image Segmentation
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[4] Segmentation for MRA image: An improved level-set approach
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[6] Maritime surveillance: Tracking ships inside a dynamic background using a fast level-set
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[8] Whole myocardium tracking in 2D-echocardiography in multiple orientations using a motion constrained level-set
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[9] Spatially constrained level-set tracking and segmentation of non-rigid objects
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[10] A level-set approach to joint image segmentation and registration with application to CT lung imaging
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