Optimized Bayes variational regularization prior for 3D PET images (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• Optimized Bayes variational regularization prior for 3D PET images (Articolo in rivista) (literal)

Anno

• 2014-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1016/j.compmedimag.2014.05.004 (literal)

Alternative label

• Rapisarda, Eugenio; Presotto, Luca; De Bernardi, Elisabetta; Gilardi, Maria Carla; Bettinardi, Valentino (2014)
  Optimized Bayes variational regularization prior for 3D PET images
  in Computerized medical imaging and graphics
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Rapisarda, Eugenio; Presotto, Luca; De Bernardi, Elisabetta; Gilardi, Maria Carla; Bettinardi, Valentino (literal)

Pagina inizio

• 445 (literal)

Pagina fine

• 457 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.scopus.com/record/display.url?eid=2-s2.0-84906050970&origin=inward (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 38 (literal)

Rivista

• Computerized medical imaging and graphics (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• 6 (literal)

Note

• Scopu (literal)
• PubMe (literal)
• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Istituto di Bioimmagini e Fisiologia Molecolare; Fondazione San Raffaele del Monte Tabor; Universita degli Studi di Milano - Bicocca (literal)

Titolo

• Optimized Bayes variational regularization prior for 3D PET images (literal)

Abstract

• A new prior for variational Maximum a Posteriori regularization is proposed to be used in a 3D One-Step-Late (OSL) reconstruction algorithm accounting also for the Point Spread Function (PSF) of the PET system. The new regularization prior strongly smoothes background regions, while preserving transitions. A detectability index is proposed to optimize the prior. The new algorithm has been compared with different reconstruction algorithms such as 3D-OSEM. +. PSF, 3D-OSEM. +. PSF. +. post-filtering and 3D-OSL with a Gauss-Total Variation (GTV) prior. The proposed regularization allows controlling noise, while maintaining good signal recovery; compared to the other algorithms it demonstrates a very good compromise between an improved quantitation and good image quality. © 2014 Elsevier Ltd. (literal)

Prodotto di

• Institute of molecular bioimaging and physiology (IBFM) (Istituto)
• Tecniche di elaborazione dati e immagini (ME.P06.005.002) (Modulo)

Autore CNR

• EUGENIO RAPISARDA (Persona)
• MARIA CARLA GILARDI (Persona)

Insieme di parole chiave

• Keywords of "Optimized Bayes variational regularization prior for 3D PET images" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of molecular bioimaging and physiology (IBFM) (Istituto)
• Tecniche di elaborazione dati e immagini (ME.P06.005.002) (Modulo)

Autore CNR di

• MARIA CARLA GILARDI (Persona)
• EUGENIO RAPISARDA (Persona)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Computerized medical imaging and graphics (Rivista)

Insieme di parole chiave di

• Keywords of "Optimized Bayes variational regularization prior for 3D PET images" (Insieme di parole chiave)