Inter-modal selective 3D coding of PET-CT datasets
Alberto Signoroni, Stefano Masneri, Riccardo Leonardi, Isabella Castiglioni · 2008
In this work we introduce a new selective coding approach suitable for co-registered multi-modal medical images and we apply it to large PET-CT volumes. Salience information guiding a space vari-ant reconstruction quality of the anatomical volume (CT) is gener-ated through an automatic analysis of the functional volume (PET). This allows a versatile multiple volume-of-interest coding with ar-bitrary 3D-shape and scaling-factors and without the need of side-information to be transmitted. The proposed solutions are suitable for critical applications where high and optimized compression ra-tio, minimization of human intervention and full diagnostic quality preservation are all required. 1.