Multi-layer Deformation Estimation for Fluoroscopic Imaging
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Summary
A novel method for jointly decomposing the observed image into a set of additive layers each associated with its corresponding smooth nonlinear deformation, which together model the non-smooth motion observed in the projection images across several frames is proposed.
- Type
- article
- Published
- 2013-06-28
- Cited by
- 9
- References
- 23
- OpenAlex
- https://openalex.org/W25874631
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:34406795
Keywords
Deformation (meteorology), Geology, Estimation, Layer (electronics), Computer science
References
- Scale Space and Variational Methods in Computer Vision, Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings
- Active Surface Approach for Extraction of the Human Cerebral Cortex from MRI
- Diffeomorphic Registration Using B-Splines
- Motion layer extraction in the presence of occlusion using graph cuts
- Joint Motion Estimation and Layer Segmentation in Transparent Image Sequences—Application to Noise Reduction in X-Ray Image Sequences
- An Iterative Regularization Method for Total Variation-Based Image Restoration
- Deformable templates using large deformation kinematics
- Using known motion fields for image separation in transparency
- Layer extraction from multiple images containing reflections and transparency
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- 'Nulling' filters and the separation of transparent motions
- Gradient domain layer separation under independent motion
- Accuracy assessment of layer decomposition using simulated angiographic image sequences
- Representing moving images with layers
- A robust multiscale B-spline function decomposition for estimating motion transparency
- Simultaneous multiple optical flow estimation
- Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms
- Role of digital subtraction fluoroscopic imaging in detecting intravascular injections.
- Computer Vision - ECCV 2004
- Estimation of multiple motions using block matching and Markov random fields
Cited by
- A Robust Probabilistic Model for Motion Layer Separation in X-ray Fluoroscopy
- Accurate vessel extraction via tensor completion of background layer in X-ray coronary angiograms
- Vessel Layer Separation of X-ray Angiographic Images using Deep Learning Methods
- X-ray coronary angiography background subtraction by adaptive weighted total variation regularized online RPCA
- Surrogate-Driven Estimation of Respiratory Motion and Layers in X-Ray Fluoroscopy
- Layered X-Ray Motion Estimation Using Primal-Dual Optimization
- Markov Random Field-Based Layer Separation for Simulated X-Ray Image Sequences
- Respiratory Motion Compensation in X-Ray Fluoroscopy (Atembewegungskompensation in der Röntgenfluoroskopie)
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