4D deformable models with temporal constraints: application to 4D cardiac image segmentation

4D deformable models with temporal constraints: application to 4D cardiac image segmentation

Segmentation of time series of 3D cardiac images is clinically used for the assessment of the mechanical function of the left ventricle. To take into account the 4D (3D+T) nature of those images, we propose to extend the deformable surface framework by introducing time-dependent constraints. Thus, in addition to computing an internal force for enforcing the regularity of the deformable model, p...

Deformable biomechanical models: Application to 4D cardiac image analysis

This article describes a methodology for creating a generic volumetric biomechanical model from different image modalities and segmenting time series of medical images using this model. The construction of such a generic model consists of three stages: geometric meshing, non-rigid deformation of the mesh in images of various modalities, and image-to-mesh information mapping through rasterizatio...

Spatial and temporal shape constrained deformable surfaces for 3D and 4D medical image segmentation

Deformable registration of 4D-CT lung image using landmark

Landmark based image registration algorithms have been applied to medical image analysis widely. While estimation of the correspondence between landmarks among images are the most important and difficult problem. In this paper, novel landmarks based image registration method combining local tracking and global adjustment of landmarks in 4D-CT lung images is proposed. In order to accurately esta...

Space and Time Shape Constrained Deformable Surfaces for 4D Medical Image Segmentation

The heart motion study is vital for the understanding and the early diagnosis of cardiac pathologies that remain the primary cause of death in western countries to date. Heart motion analysis require the extraction of quantitative parameters from time sequences of 3D images (4D images) such as volume, sep-tum wall thickness, ejection fraction and motion amplitude. In this paper, we propose a fr...