Adaptive volume construction from ultrasound images of a human heart

Authors:
Gerd Reis;Martin Bertram;Rolf H. van Lengen;Hans Hagen
Affiliations:
German Research Centre for Artificial Intelligence, Kaiserslautern, Germany;German Research Centre for Artificial Intelligence, Kaiserslautern, Germany;German Research Centre for Artificial Intelligence, Kaiserslautern, Germany;German Research Centre for Artificial Intelligence, Kaiserslautern, Germany
Venue:
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
Year:
2004

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Abstract

We present a volume modelling approach based on sequences of two-dimensional ultrasound images. Though generally applicable to arbitrary freehand ultrasound, our method is designed for the reconstruction of timevarying volumes from ultrasound images of a human heart. Since the reliability of the reconstructed data depends very much on the spatial density of ultrasound images, we apply a hierarchical modelling approach. The volume produced for each time step is represented as adaptive mesh refinement (AMR) data such that regions of low reliability in the reconstructed volume can be recognized by their coarse resolution.