Multiscale spatiotemporal modeling of tumor

Abstract

This talk introduces spatio-temporal modeling targeting lung tumors and inflamed lymph with showing several examples including micro-to-macro image analysis for micro-CT images and automated detection and temporal analysis of inflamed lymph nodes. Spatio-temporal analysis of tumors plays an important role in the multi-disciplinary computational anatomy models defined by the space, time, function and pathology axes. We show new techniques for seamless temporal registration of different resolution images and its application to tumor modeling. Also we introduce latest techniques for lymph node detection and their applications for measuring cancer treatment effect.