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Article Dans Une Revue Artificial Intelligence in Medicine Année : 2000

Towards dynamic cardiac scenes interpretation based on spatial-temporal knowledge

Résumé

Cardiac motion analysis enables to identify pathologies related to myocardial anomalies or coronary arteries circulation deficiencies. Conventionally, bidimensional (2D) left ventricle contour images have been extensively used, to perform quantitative measurements and qualitative evaluations of the cardiac function. Nevertheless, there are other cardiac anatom-ical structures, the coronary arteries, imaged on routine procedures, upon which complementary motion interpretation can be conducted. This paper presents an experimental methodology to perform dynamic cardiac scenes interpretation, studying three-dimensional (3D) coronary arteries spatial-temporal behavior. Being an alternative way to approach computer assisted cardiac motion interpretation, it reveals a wide range of rarely explored spatial-temporal situations and proposes how to address them. Considering the challenges to achieve dynamic scene interpretation, it is explained how spatial and temporal knowledge, are connected to specialist knowledge and measured parameters, to obtain a dynamic scene interpretation.

Dates et versions

hal-02180947 , version 1 (11-07-2019)

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John Puentes, Mireille Garreau, Christian Roux, Jean Louis Coatrieux. Towards dynamic cardiac scenes interpretation based on spatial-temporal knowledge. Artificial Intelligence in Medicine, 2000, 19 (2), pp.155 - 183. ⟨10.1016/S0933-3657(00)00043-9⟩. ⟨hal-02180947⟩
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