This study explores the use of automated image analysis pipelines and kernel density estimation (KDE) analysis for hotspot mapping as a generic methodology to spatially evaluate MRI biomarkers with corresponding high-resolution whole-slide digital histology, used here to validate the transverse relaxation R2* as a biomarker of vascular hemodynamics in the Th-MYCN transgenic mouse model of childhood neuroblastoma.
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