Compression d'images adaptée aux angiographies coronaires pour le stockage sur carte à mémoire optique

Compression d'images adaptée aux angiographies coronaires pour le stockage sur carte à mémoire optique

Adaptive Image Compression Algorithm for Angiograms Stored on Optical Memory Card

Hugues Benoit-Catin Atilla Baskurt  Denis Delamarre  Rémy Prost 

CREATIS, Unité de Recherche CNRS (UMR 5515), affiliée à l'INSERM INSA, Bat . 502, 69621 Villeurbanne Cedex

Département d'Information Médicale (DIM), CHRU de Rennes

Page: 
433-443
|
Received: 
23 July 1997
| |
Accepted: 
N/A
| | Citation

OPEN ACCESS

Abstract: 

The main objective of the Cardio-Média project is to produce a coronarian multimedia data record stored on an optical card in order to offer a better follow-up for the patients treated by angioplasty . In this paper, we present the compression algorithm implemented to store the angiographìc images of the data record . This algorithm is based on a wavelet decomposition followed by an adapted lattice quantization of the wavelet coefficients . An original bit allocation algorithm is used during a learning step in orderto provide a fast coding algorithm which is adapted to the angiographic images. A subjective evaluation of the diagnostic quality of the images, based on the consensus approach leads to a compression ratio of 12 :1 which insures both a sufficient medical quality and a sufficient data compression in regards to the storage capacity of the optical card.

Résumé

Le projet Cardio-Média a pour objectif la création d'un prototype de dossier coronarien sur carte optique afin de faciliter le suivi clinique des patients traités par angioplastie . Dans cet article, nous présentons l'algorithme de compression mis en oeuvre et les résultats obtenus . Notre algorithme utilise une transformation en ondelettes et une quantification vectorielle adaptée des coefficients d'ondelettes . Son originalité repose sur la phase d'apprentissage qui permet de disposer d'un algorithme de compression/décompression rapide adapté à la modalité médicale « angiographie ». Une évaluation subjective par consensus de la qualité diagnostique des images comprimées a permis de retenir un taux de compression de 12 qui répond aux contraintes matérielles et médicales du projet.

Keywords: 

Image coding, medical imaging, angiography, subband coding, pyramidal lattice quantization, diagnostic quality assessment

Mots clés

Compression d'images, imagerie médicale, angiographie, compression sous-bandes, quantificateur vectoriel sur treillis, évaluation de la qualité diagnostique

1. Introduction
2. Matériels Et Méthodes
3. Résultats Et Discussions
4. Conclusion
5. Remerciements
6. Annexe
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