Spectral-based 2D/3D X-ray to CT image rigid registration

Freiman, Moti; Pele, Ofir; Hurvitz, Aviv; Werman, Michael; Joskowicz, Leo

doi:10.1117/12.876365

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…Previous research addresses rigid registration in Radon space with a variety of methods. Freiman et al [3] describe a method for 2D/3D registration of X-Ray to CT images. Their method uses invariant features in Fourier space to find the rigid parameters with out-of-plane coarse registration followed by in-plane fine registration.…”

Section: Introductionmentioning

confidence: 99%

Reduced-Dose Patient to Baseline CT Rigid Registration in 3D Radon Space

Medan

Kronman

Joskowicz

2014

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014

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We present a new method for rigid registration of CT scans in Radon space. The inputs are the two 3D Radon transforms of the CT scans, one densely sampled and the other sparsely sampled. The output is the rigid transformation that best matches them. The algorithm starts by finding the best matching between each direction vector in the sparse transform and the corresponding direction vector in the dense transform. It then solves the system of linear equations derived from the direction vector pairs. Our method can be used to register two CT scans and to register a baseline scan to the patient with reduced-dose scanning without compromising registration accuracy. Our preliminary simulation results on the Shepp-Logan head phantom dataset and a pair of clinical head CT scans indicates that our 3D Radon space rigid registration method performs significantly better than image-based registration for very few scan angles and comparably for densely-sampled scans.

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Section: Introductionmentioning

confidence: 99%

Reduced-Dose Patient to Baseline CT Rigid Registration in 3D Radon Space

Medan

Kronman

Joskowicz

2014

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014

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A 2D-3D Image Registration Algorithm Using Log-Polar Transforms for Knee Kinematic Analysis

Akter

Lambert

Pickering

et al. 2012

2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)

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Key Technologies for Building Universal Platform for 2D/3D Medical Image Registration

Zhao

Jia

2013

2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing

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Spectral-based 2D/3D X-ray to CT image rigid registration

Cited by 4 publications

References 17 publications

Reduced-Dose Patient to Baseline CT Rigid Registration in 3D Radon Space

Reduced-Dose Patient to Baseline CT Rigid Registration in 3D Radon Space

A 2D-3D Image Registration Algorithm Using Log-Polar Transforms for Knee Kinematic Analysis

Key Technologies for Building Universal Platform for 2D/3D Medical Image Registration

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