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» A Framework for Ultra High Resolution 3D Imaging
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CVPR
2008
IEEE
14 years 9 months ago
Hierarchical, learning-based automatic liver segmentation
In this paper we present a hierarchical, learning-based approach for automatic and accurate liver segmentation from 3D CT volumes. We target CT volumes that come from largely dive...
Haibin Ling, Shaohua Kevin Zhou, Yefeng Zheng, Bog...
MICCAI
1998
Springer
13 years 11 months ago
Motion Measurements in Low-Contrast X-ray Imagery
Measuring motion in medical imagery becomes more and more important, in particular for object tracking, image registration, and local displacement measurements. Often, the require...
Martin Berger, Guido Gerig
VIS
2007
IEEE
157views Visualization» more  VIS 2007»
14 years 8 months ago
Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT
Abstract-- This paper describes a novel method for creating surface models of multi-material components using dual energy computed tomography (DECT). The application scenario is me...
Christoph Heinzl, Johann Kastner, Eduard Grölle...
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...
SCIA
2005
Springer
108views Image Analysis» more  SCIA 2005»
14 years 1 months ago
Light Field Reconstruction Using a Planar Patch Model
Light fields are known for their potential in generating 3D reconstructions of a scene from novel viewpoints without need for a model of the scene. Reconstruction of novel views, ...
Adam Bowen, Andrew Mullins, Roland G. Wilson, Nasi...