Séminaire LIGM : Multidisciplinary Computational Anatomy for Medical Image Analysis: From Shape to Function and Pathology

Date : vendredi 18 mars de 11h00 à 12h00, salle 160

Yoshinobu Sato, NAIST, Japan

Abstract: Computational anatomy models statistically represent inter-subject variability of human anatomy including individual organ shapes and their interrelations. These models are regarded as prior probabilities of human anatomy and can be utilized for Bayesian estimation problems related to anatomical identification. This talk presents medical image analysis of the abdominal organs and musculoskeletal structures using the computational anatomy models. In addition, multidisciplinary extensions of computational anatomy will be discussed especially on integration of organ function and pathology.