Asymmetry of SPECT Perfusion Image Patterns as a Diagnostic Feature for Alzheimer's Disease. Medical Image Computing and Computer-Assisted Intervention - (Articolo in rivista)

Type

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

Label

• Asymmetry of SPECT Perfusion Image Patterns as a Diagnostic Feature for Alzheimer's Disease. Medical Image Computing and Computer-Assisted Intervention - (Articolo in rivista) (literal)

Anno

• 2006-01-01T00:00:00+01:00 (literal)

Alternative label

• Kovalev VA, Thurfjell L, Lundqvist R and Pagani M. (2006)
  Asymmetry of SPECT Perfusion Image Patterns as a Diagnostic Feature for Alzheimer's Disease. Medical Image Computing and Computer-Assisted Intervention -
  in Medical Image Computing and Computer-Assisted Intervention
  (literal)

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

• Kovalev VA, Thurfjell L, Lundqvist R and Pagani M. (literal)

Pagina inizio

• 421 (literal)

Pagina fine

• 428 (literal)

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

• 4191 (literal)

Rivista

• Medical Image Computing and Computer-Assisted Intervention (Rivista)

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

• 9 (literal)

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

• Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, Surrey GU2 7XH, United Kingdom Centre for Image Analysis, Uppsala University, SE-752 37 Uppsala, Sweden Institute of Cognitive Sciences and Technologies, CNR, 00185 Rome, Italy (literal)

Titolo

• Asymmetry of SPECT Perfusion Image Patterns as a Diagnostic Feature for Alzheimer's Disease. Medical Image Computing and Computer-Assisted Intervention - (literal)

Abstract

• In this paper we propose a new diagnostic feature for Alzheimer's Disease (AD) which is based on assessment of the degree of inter-hemispheric asymmetry using Single Photon Emission Computed Tomography (SPECT). The asymmetry measure used represents differ- ences in 3D perfusion image patterns in the cerebral hemispheres. We start from the simplest descriptors of brain perfusion such as the mean intensity within pairs of brain lobes, gradually increasing the resolution up to five-dimensional co-occurrence matrices. Evaluation of the method was performed using SPECT scans of 79 subjects including 42 patients with clinical diagnosis of AD and 37 controls. It was found that combina- tion of intensity and gradient features in co-occurrence matrices captures significant differences in asymmetry values between AD and normal con- trols (p < 0.00003 for all cerebral lobes). Our results suggest that the asymmetry feature is useful for discriminating AD patients from normal controls as detected by SPECT. (literal)

Prodotto di

• Neuropatologie e bisogni individuali: diagnostica per immagini, assessment linguistico-cognitivo, counseling genetico e trattamento riabilitativo (ME.P02.015.001) (Modulo)
• Istituto di scienze e tecnologie della cognizione (ISTC) (Istituto)

Autore CNR

• MARCO PAGANI (Persona)

Incoming links:

Autore CNR di

• MARCO PAGANI (Persona)

Prodotto

• Istituto di scienze e tecnologie della cognizione (ISTC) (Istituto)
• Neuropatologie e bisogni individuali: diagnostica per immagini, assessment linguistico-cognitivo, counseling genetico e trattamento riabilitativo (ME.P02.015.001) (Modulo)

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

• Medical Image Computing and Computer-Assisted Intervention (Rivista)