The paper discusses the initial results obtained for the gen- eration of canonical 3D models of anatomical parts, built on real patient data. 3D canonical models of anatomy are key elements in a computer- assisted diagnosis; for instance, they can support pathology detection, semantic annotation of patient-specific 3D reconstructions, quantifica- tion of pathological markers. Our approach is focused on carpal bones and on the elastic analysis of 3D reconstructions of these bones, which are segmented from MRI scans, represented as 0-genus triangle meshes, and parameterized on the sphere. The original method (8) relies on a set of sparse correspondences, defined as matching vertices. For medical applications, it is desirable to constrain the mean shape generation to set-up the correspondences among a larger set of anatomical landmarks, including vertices, lines, and areas. Preliminary results are discussed and future development directions are sketched.
['Imon Banerjee', 'Hamid Laga', 'Giuseppe Patanè', 'Sebastian Kurtek', 'Anuj Srivastava', 'Michela Spagnuolo']
Generation of 3D Canonical Anatomical Models: An Experience on Carpal Bones