We propose a novel method for continuous 3D depth recovery and tracking using calibrated stereo. The method integrates stereo correspondence, surface reconstruction and tracking by using a new single deformable dual mesh optimization, resulting in simplicity, robustness and efficiency. In order to combine stereo correspondence and structure recovery, the method introduces an external energy fun...

Precise segmentation and identification of thoracic vertebrae is important for many medical imaging applications whereas it remains challenging due to vertebra's complex shape and varied neighboring structures. In this paper, a new method based on learned bone-structure edge detectors and a coarse-to-fine deformable surface model is proposed to segment and identify vertebrae in 3D CT thoracic i...

For biomechanical simulations, the segmentation of multiple adjacent anatomical structures from medical image data is often required. If adjacent structures are barely distinguishable in image data, in general automatic segmentation methods for single structures do not yield sufficiently accurate results. To improve segmentation accuracy in these cases, knowledge about adjacent structures must ...

For biomechanical simulations, the segmentation of multiple adjacent anatomical structures from medical image data is often required. If adjacent structures are hardly distinguishable in image data, automatic segmentation methods for single structures in general do not yield sufficiently accurate results. To improve segmentation accuracy in these cases, knowledge about adjacent structures must ...

his article describes how to use level sets to represent and compute deformable surfaces. A deformable surface is a sequence of surface models obtained by taking an initial model and incrementally modifying its shape. Typically, we can parameterize the deformation over time, and thus we can imagine that a surface moves or flows under the influence of a vector field. The surface flow, v, can be ...

The curve-skeleton of a 3D object is an abstract geometrical and topological representation of its 3D shape. It maps the spatial relation of geometrically meaningful parts to a graph structure. Each arc of this graph represents a part of the object with roughly constant diameter or thickness, and approximates its centerline. This makes the curve-skeleton suitable to describe and handle articula...

We propose a simulation framework to simulate the computed tomography acquisition process. It includes five components: anatomic data, respiration modelling, automatic parametrisation, X-ray simulation, and tomography reconstruction. It is used to generate motion artefacts in reconstructed CT volumes. Our framework can be used to evaluate CT reconstruction algorithm with motion artefact correct...

This paper presents a hierarchical tetrahedral mesh model to represent the bone density atlas. We propose and implement an efficient and automatic method to construct hierarchical tetrahedral meshes from CT data sets of bony anatomy. The tetrahedral mesh is built based on contour tiling between CT slices. The mesh is then smoothed using an enhanced Laplacian algorithm. And we approximate bone d...

Delineation of tumor and organs at risk on each phase of 4D CT images is an essential step in adaptive radiotherapy planning. Manual contouring of the large amount of data is time-consuming and impractical. (Semi-) automated methods typically rely on deformable image registration techniques to automatically map the manual contours drawn in one image to all the other phases in order to get compl...

By WANCHAT THEERANAEW In this paper, a new form of surface-based deformable image registration is developed for use in image-guided radiation therapy (IGRT) of breast cancer patients. A special laser scanner is used to obtain inter-fraction 3D images of the target volume, with 3-4 fixed landmarks located at the rigid base of the breast. By comparing the image-ofthe-day with the initial-fraction...