Development and Validation of the Random Walk Algorithm: Application to the Classification of Diffuse Heterogeneity in Brain SPECT Perfusion Images.

Thierry de La Rue (1) , Romain Modzelewski (2) , Élise Janvresse (1) , Anne Hitzel (2) , Jean-François Ménard (2) , Alain Manrique (2) , Isabelle Gardin (2) , Emmanuel Gérardin (2) , Didier Hannequin (3) , Pierre Vera (2)

1 LMRS - Laboratoire de Mathématiques Raphaël Salem
2 LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
3 Service de neurologie [Rouen]

Heterogeneity analysis has been studied for radiological imaging, but few methods have been developed for functional images. Diffuse heterogeneous perfusion frequently appears in brain single photon emission computed tomography (SPECT) images, but objective quantification is lacking. An automatic method, based on random walk (RW) theory, has been developed to quantify perfusion heterogeneity. We assess the robustness of our algorithm in differentiating levels of diffuse heterogeneity even when focal defects are present.

Domaines: Imagerie médicale; Probabilités [math.PR]

Thierry de La Rue, Romain Modzelewski, Élise Janvresse, Anne Hitzel, Jean-François Ménard, et al.. Development and Validation of the Random Walk Algorithm: Application to the Classification of Diffuse Heterogeneity in Brain SPECT Perfusion Images.. Journal of Computer Assisted Tomography / Journal of Computer-Assisted Tomography, 2008, 32 (4), pp.651-659. ⟨hal-00318466⟩