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» Automatic Point Landmark Matching for Regularizing Nonlinear...
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MICCAI
2006
Springer
14 years 5 months ago
Automatic Point Landmark Matching for Regularizing Nonlinear Intensity Registration: Application to Thoracic CT Images
Nonlinear image registration is a prerequisite for a variety of medical image analysis tasks. A frequently used registration method is based on manually or automatically derived po...
Martin Urschler, Christopher Zach, Hendrik Ditt, H...
ECCV
2006
Springer
13 years 8 months ago
SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images
Nonlinear image registration is a prerequisite for various medical image analysis applications. Many data acquisition protocols suffer from problems due to breathing motion which h...
Martin Urschler, Joachim Bauer, Hendrik Ditt, Hors...
CMIG
2011
168views more  CMIG 2011»
12 years 8 months ago
Comparing axial CT slices in quantized N-dimensional SURF descriptor space to estimate the visible body region
In this paper, a method is described to automatically estimate the visible body region of a computed tomography (CT) volume image. In order to quantify the body region, a body coo...
Johannes Feulner, Shaohua Kevin Zhou, Elli Angelop...