We propose a two-step process for the integration ofinformation derived from DCE-MRI and DW-MRI modalities. First, voxel-wise dissimilarity- based clustering is performed on DCE images to identify different tumoral subregions, which are then projected to the DW-MRI following a patient-specific registration protocol consisting of a preliminary multiresolution rigid transformationfollowed by an elastic B-Spline deformation focused on the lesion area. The probability density functions in the ADC map of the subregions are then extracted and compared through non-parametric testing (Wilcoxon-signed-rank test, p=0.05). The pipeline was demonstrated using DCE-MRI and DW-MRI acquired from 7 patients,ranged in age 42-70 (median 48 years), affected by primary ductal carcinoma.
Integration of diffusion and perfusion images of human breast cancer by registration and dissimilarity based clustering
MENDEZ GUERRERO, Carlos Andres;PIZZORNI FERRARESE, Francesca;MENEGAZ, Gloria
2012-01-01
Abstract
We propose a two-step process for the integration ofinformation derived from DCE-MRI and DW-MRI modalities. First, voxel-wise dissimilarity- based clustering is performed on DCE images to identify different tumoral subregions, which are then projected to the DW-MRI following a patient-specific registration protocol consisting of a preliminary multiresolution rigid transformationfollowed by an elastic B-Spline deformation focused on the lesion area. The probability density functions in the ADC map of the subregions are then extracted and compared through non-parametric testing (Wilcoxon-signed-rank test, p=0.05). The pipeline was demonstrated using DCE-MRI and DW-MRI acquired from 7 patients,ranged in age 42-70 (median 48 years), affected by primary ductal carcinoma.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
