Shape and Semantics for 3D Anatomical Structure Retrieval

Davide Moroni, Mario Salvetti, Ovidio SSalvetti

Abstract

In this paper, we propose a framework for the description of anatomical structures based on topological and geometrical features and on semantic annotation. The main goal is to enhance the description of an anatomical structure –understood as a 3D model– with other non-geometrical pieces of information relevant to the particular problem-context. Hybrid methods for similarity searches are then introduced and shown to be able to support effective case-based reasoning procedures. The approach is illustrated with examples from several medical application fields in order to discuss its potential impact.

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Paper Citation


in Harvard Style

Moroni D., Salvetti M. and SSalvetti O. (2009). Shape and Semantics for 3D Anatomical Structure Retrieval . In Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 1: Workshop IMTA, (VISIGRAPP 2009) ISBN 978-989-8111-80-7, pages 73-83. DOI: 10.5220/0001962500730083


in Bibtex Style

@conference{workshop imta09,
author={Davide Moroni and Mario Salvetti and Ovidio SSalvetti},
title={Shape and Semantics for 3D Anatomical Structure Retrieval},
booktitle={Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 1: Workshop IMTA, (VISIGRAPP 2009)},
year={2009},
pages={73-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001962500730083},
isbn={978-989-8111-80-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 1: Workshop IMTA, (VISIGRAPP 2009)
TI - Shape and Semantics for 3D Anatomical Structure Retrieval
SN - 978-989-8111-80-7
AU - Moroni D.
AU - Salvetti M.
AU - SSalvetti O.
PY - 2009
SP - 73
EP - 83
DO - 10.5220/0001962500730083