Non-rigid 2D-3D Medical Image Registration Using Markov Random Fields

Enzo Ferrante; Nikos Paragios

doi:10.1007/978-3-642-40760-4_21

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Non-rigid 2D-3D Medical Image Registration Using Markov Random Fields

Enzo Ferrante Nikos Paragios

Year: 2013 Journal: Lecture notes in computer science Vol: 16 (Pt 3)Pages: 163-170 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-40760-4_21

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Keywords:

Markov random field Robustness (evolution) Algorithm Rigid transformation Plane (geometry) Image plane Markov chain Metric (unit) Computer science Transformation (genetics) Mathematics Image registration Artificial intelligence Computer vision Image (mathematics) Geometry Image segmentation

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Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Non-rigid 2D-3D Medical Image Registration Using Markov Random Fields

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