Adaptive Mesh Reconstruction in X-Ray Tomography

Fanny Buyens (1) , Michele A. Quinto (1) , Dominique Houzet (2)

1 LIST (CEA) - Laboratoire d'Intégration des Systèmes et des Technologies
2 GIPSA-AGPIG - GIPSA - Architecture, Géométrie, Perception, Images, Gestes

his paper presents an X-ray tomographic reconstruction method based on an adaptive mesh in order to directly obtain the typical gray level reconstructed image simultaneously with its segmentation. It also leads to reduce the number of unknows throughout the iterations of reconstruction and accelerates the process of algebraic algorithms. The process of reconstruction is no more based on a regular grid of voxels but on a mesh composed of non regular tetraedra that are progressively adapted to the content of the image. Each iteration is composed by two main steps that successively estimate the values of the mesh elements and segment the sample in order to make the grid adapted to the content of the image. The method was applied on numerical and experimental data. The results show that the method provides reliable reconstructions and leads to drastically reduce the memory storage compared to usual reconstructions based on pixel representation.

Domaines: Imagerie médicale

Fanny Buyens, Michele A. Quinto, Dominique Houzet. Adaptive Mesh Reconstruction in X-Ray Tomography. MICCAI 2013 - Workshop on Mesh Processing in Medical Image Analysis, Sep 2013, Nagoya, Japan. ⟨hal-00938944⟩