Multiple template deformation. Application to abdominal organ segmentation

Romane Gauriau (1, 2) , Roberto Ardon (2) , David Lesage (2) , Isabelle Bloch (1)

1 LTCI - Laboratoire Traitement et Communication de l'Information
2 Medisys - MedisysResearch Lab

We propose a fast, automatic and versatile framework for the segmentation of multiple anatomical structures from 2D and 3D images. We extend the work of [1] on implicit template deformation to multiple targets. Our variational formulation optimizes the non-rigid transformation of a set of templates according to image-derived forces. It embeds nonoverlapping constraints ensuring a consistent segmentation result. We demonstrate the potential of our approach on the segmentation of abdominal organs (liver, kidneys, spleen and gallbladder) through an evaluation on 50 CT volumes. Our method reaches state-of-the-art accuracy, ranging from 2mm (liver and kidneys) to 8mm (gallbladder).

Keywords: Multi-organ segmentation; template deformation; automatic segmentation

Domains: Image Processing [eess.IV]

Romane Gauriau, Roberto Ardon, David Lesage, Isabelle Bloch. Multiple template deformation. Application to abdominal organ segmentation. International Symposium on Biomedical Imaging ISBI'15, 2015, New York, United States. pp.359-362. ⟨hal-01152419⟩