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» Sparse topological data recovery in medical images
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MICCAI
2003
Springer
14 years 8 months ago
Mesh Topology Identification for Mass-Spring Models
In surgical simulations, the two most popular approaches to model soft tissues are Finite Element Method (FEM) and Mass-Spring System (MSS). Main advantages of FEM are accuracy and...
Gábor Székely, Gérald Bianchi...
IPMI
2007
Springer
14 years 8 months ago
Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support
Abstract. Volume segmentation is a relatively slow process and, in certain circumstances, the enormous amount of prior knowledge available is underused. Model-based liver segmentat...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
ICASSP
2011
IEEE
12 years 11 months ago
Computationally efficient regularized acoustic imaging
Sparse recovery techniques have been shown to produce very accurate acoustic images, significantly outperforming traditional deconvolution approaches. However, so far these propo...
Flavio P. Ribeiro, Vitor H. Nascimento
MICCAI
2000
Springer
13 years 11 months ago
Nonrigid Registration of 3D Scalar, Vector and Tensor Medical Data
New medical imaging modalities offering multi-valued data, such as phase contrast MRA and diffusion tensor MRI, require general representations for the development of automatized a...
Juan Ruiz-Alzola, Carl-Fredrik Westin, Simon K. Wa...
ISBI
2009
IEEE
14 years 2 months ago
LV Surface Reconstruction from Sparse TMRI Using Laplacian Surface Deformation and Optimization
We propose a novel framework to reconstruct the left ventricle (LV)’s 3D surface from sparse tagged-MRI (tMRI). First we acquire an initial surface mesh from a dense tMRI. Then ...
Shaoting Zhang, Xiaoxu Wang, Dimitris Metaxas, Tin...