Biplanar Radiographic 3D Reconstruction of Vertebrae Using Non-stereo Corresponding Points Based on Epipolar Geometry

Zhang, J. H.; Shi, Xinling; Wang, Y. Y.; Lv, Liang; Wu, Jun; Zhang, Y. F.

doi:10.1007/978-3-642-14515-5_321

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…The traditional method is to use epipolar constraint to search matching point pairs of blood vessels in two images [10][11][12][13][14]. In these methods, there are inherent limitations and errors on the epipolar constraint, which will lead to point-pair mismatches.…”

Section: Point-pairs Matchingmentioning

confidence: 99%

3D Reconstruction with Coronary Artery Based on Curve Descriptor and Projection Geometry-Constrained Vasculature Matching

Tong

Wang

et al. 2022

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This paper presents a novel method based on a curve descriptor and projection geometry constrained for vessel matching. First, an LM (Leveberg–Marquardt) algorithm is proposed to optimize the matrix of geometric transformation. Combining with parameter adjusting and the trust region method, the error between 3D reconstructed vessel projection and the actual vessel can be minimized. Then, CBOCD (curvature and brightness order curve descriptor) is proposed to indicate the degree of the self-occlusion of blood vessels during angiography. Next, the error matrix constructed from the error of epipolar matching is used in point pairs matching of the vascular through dynamic programming. Finally, the recorded radius of vessels helps to construct ellipse cross-sections and samples on it to get a point set around the centerline and the point set is converted to mesh for reconstructing the surface of vessels. The validity and applicability of the proposed methods have been verified through experiments that result in the significant improvement of 3D reconstruction accuracy in terms of average back-projection errors. Simultaneously, due to precise point-pair matching, the smoothness of the reconstructed 3D coronary artery is guaranteed.

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Section: Point-pairs Matchingmentioning

confidence: 99%

3D Reconstruction with Coronary Artery Based on Curve Descriptor and Projection Geometry-Constrained Vasculature Matching

Tong

Wang

et al. 2022

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“…In virtue of the scarcely diversities between two nearly Spinal bones, the arithmetic we advocated made full use of this characteristic and endowed the later parameter with the former one. Thus the frequencies of matching are greatly reduced and the measurement errors are effectively prevented [9][10]. Every matched backbone has four parameters namely α, β, h, v and they respectively represent the normotopia rotation numerical value, the lateral position rotation numerical value, the transverse translation and longitudinal translation of the currently one towards the comparatively first one.…”

Section: B the Projection Stereopicturementioning

confidence: 99%

3D Reconstruction and Analysis Base on Shape Matching

Zhu

Zhou

2013

AMM

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The article presents an approach to the three-dimensional reconstruction of vertebral column based on shape matching. Technique is established on the basis of marching cubes algorithm, through the rotated transformation and perspective projection toward every 3D model of vertebration, the projection drawing which is similar to the corresponding vertebration in the computed tomography is formed. Then, through the matching of the projection drawing and the corresponding vertebration in the CT, we can obtain the experimental result by adjust rotation parameters according to the matching outcome. The last step is to record the rotation parameters α, β and the translation parameters h, v, and by justifying the according parameter of the vertebration model in the standard vertebral column model based upon the circumgyrate of every vertebra and the translation parameters, the post-model of vertebration is reconstructed by means of visualization technology. The experimental result turned out that the reconstructed 3D model has a commendable matching attribute and meticulous accuracy compared with the real spinal column. Even the quality of the experimental CT is not so satisfied, the technique can still process match and reestablish the exact model column.

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Statistical Shape and Appearance Models in Osteoporosis

Castro-Mateos

Pozo

Cootes

et al. 2014

Curr Osteoporos Rep

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Statistical models (SMs) of shape (SSM) and appearance (SAM) have been acquiring popularity in medical image analysis since they were introduced in the early 1990s. They have been primarily used for segmentation, but they are also a powerful tool for 3D reconstruction and classification. All these tasks may be required in the osteoporosis domain, where fracture detection and risk estimation are key to reducing the mortality and/or morbidity of this bone disease. In this article, we review the different applications of SSMs and SAMs in the context of osteoporosis, and it concludes with a discussion of their advantages and disadvantages for this application.

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Biplanar Radiographic 3D Reconstruction of Vertebrae Using Non-stereo Corresponding Points Based on Epipolar Geometry

Cited by 4 publications

References 5 publications

3D Reconstruction with Coronary Artery Based on Curve Descriptor and Projection Geometry-Constrained Vasculature Matching

3D Reconstruction with Coronary Artery Based on Curve Descriptor and Projection Geometry-Constrained Vasculature Matching

3D Reconstruction and Analysis Base on Shape Matching

Statistical Shape and Appearance Models in Osteoporosis

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