Cardiac motion extraction in multislice computed tomography by using a 3D hierarchical surface matching process

Garreau, Mireille; Simon, Antoine; Boulmier, Dominique; Guillaume, Hervé

doi:10.1109/cic.2004.1442996

Cited by 6 publications

(5 citation statements)

References 12 publications

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“…Future work will deal with the extension of these results to a 3D cardiac volume obtained from current developments in our laboratory [22]. It will be based on a multi-scale description of the volume combined with the presented multi-formalism approach, with the constant aim of not altering the clinical interpretations by being able to reproduce the important physiological markers of cardiac electrical activity.…”

Section: Discussionmentioning

confidence: 99%

Multi-formalism Modelling of Cardiac Tissue

Defontaine

Hernández

Carrault

2005

Functional Imaging and Modeling of the Heart

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Abstract. Many models of the cardiovascular system (e.g. cardiac electrical activity, autonomous nervous system, . . . ) have been proposed for the last decades. Research is now focusing on the integration of these different models, in order to study more complicated physiopathological states in clinical applications context. To get round the practical limitations of existing models, multi-formalism modelling appears as a way to ease the integration of these different models together. This paper presents an original methodology allowing to combine different types of description formalisms. This method has been applied to define a multi-formalism model of cardiac action potential propagation on a 2D grid of endocardial cells, combining cellular automata and a set of cells defined by the Beeler-Reuter model. Results, obtained under physiologic and ischemic conditions, highlight the improvements in term of computing compared with mono-formalism systems, while keeping the necessary explanatory strength for a practical clinical use.

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Section: Discussionmentioning

confidence: 99%

Multi-formalism Modelling of Cardiac Tissue

Defontaine

Hernández

Carrault

2005

Functional Imaging and Modeling of the Heart

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“…Current development consist in improvements of our simulation library: i) integration of more detailled models such as Luo and Rudy [10,11] and ii) improvement of our CA simulation method, by taking into account their specific state transition properties. Future work will deal with the extension of these results to a 3D cardiac volume obtained from current developments in our laboratory [22]. It will be based on a multi-scale description of the volume combined with the presented multi-formalism approach, with the constant aim of not altering the clinical interpretations by being able to reproduce the important physiological markers of cardiac electrical activity.…”

Section: Discussionmentioning

confidence: 99%

Functional Imaging and Modeling of the Heart

Frangi¹,

Radeva²,

Santos³

et al. 2005

Lecture Notes in Computer Science

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Many models of the cardiovascular system (e.g. cardiac electrical activity, autonomous nervous system,. . .) have been proposed for the last decades. Research is now focusing on the integration of these different models, in order to study more complicated physiopathological states in clinical applications context. To get round the practical limitations of existing models, multi-formalism modelling appears as a way to ease the integration of these different models together. This paper presents an original methodology allowing to combine different types of description formalisms. This method has been applied to define a multi-formalism model of cardiac action potential propagation on a 2D grid of endocardial cells, combining cellular automata and a set of cells defined by the Beeler-Reuter model. Results, obtained under physiologic and ischemic conditions, highlight the improvements in term of computing compared with mono-formalism systems, while keeping the necessary explanatory strength for a practical clinical use.

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“…Clinical diagnosis and therapy. Picture (a) is from [Garreau, 2004]. Picture (b) is from [Schleich, 2002].…”

Section: The Overall Heart Picturementioning

confidence: 99%

Transvenous Path Finding in Cardiac Resynchronization Therapy

Coatrieux

Hernández

Mabo

et al. 2005

Functional Imaging and Modeling of the Heart

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Cardiovascular diseases are a major health concern all over the world and, especially, heart failure has gained more importance in the recent years. Improving diagnosis and therapy is therefore critical and among the several resources at our disposal, implantable devices is expected to have a better rate of success. This paper is focused on two topics: (i) our views of the main challenges to face in order to reach these objectives and (ii) a specific target regarding the pose of leads for multisite pacemakers by means of virtual endoscopy pre-operative planning and path finding throughout the coronary venous tree.

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Cardiac motion extraction in multislice computed tomography by using a 3D hierarchical surface matching process

Abstract: Abstract

Cited by 6 publications

References 12 publications

Multi-formalism Modelling of Cardiac Tissue

Multi-formalism Modelling of Cardiac Tissue

Functional Imaging and Modeling of the Heart

Transvenous Path Finding in Cardiac Resynchronization Therapy

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