In this paper, we present a general approach to shape characterization and deformation analysis of 2D/3D deformable visual objects. In particular, we define a reference dynamic model, encoding morphological and functional properties of an objects class, capable to analyze different scenarios in heart left ventricle analysis. The proposed approach is suitable for generalization to the analysis of periodically deforming anatomical structures, where it could provide useful support in medical diagnosis. Preliminary results in heart left ventricle analysis are discussed.

A general approach to shape characterization for biomedical problems

Moroni D;Salvetti O
2006

Abstract

In this paper, we present a general approach to shape characterization and deformation analysis of 2D/3D deformable visual objects. In particular, we define a reference dynamic model, encoding morphological and functional properties of an objects class, capable to analyze different scenarios in heart left ventricle analysis. The proposed approach is suitable for generalization to the analysis of periodically deforming anatomical structures, where it could provide useful support in medical diagnosis. Preliminary results in heart left ventricle analysis are discussed.
2006
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
Petra Perner
IBaI CD-Report
Industrial Conference on Data Mining ICDM --- Workshop on Mass-Data Analysis of Images and Signals, MDA 2006
56
65
3540360360
http://www.data-mining-forum.de/document/WorkshopProceedings_ICDM2006.pdf
Sì, ma tipo non specificato
13/07/2006
Leipzig, Germany
Segmentation
Shape modeling
Cardiac Imaging
cnr.isti/2006-A2-61
3
restricted
Moroni, D; Perner, P; Salvetti, O
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
File in questo prodotto:
File Dimensione Formato  
prod_91279-doc_127587.pdf

solo utenti autorizzati

Descrizione: A general approach to shape characterization for biomedical problems
Tipologia: Versione Editoriale (PDF)
Dimensione 186.57 kB
Formato Adobe PDF
186.57 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/61445
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact