Computer assisted quantitative analysis of deformities of the human spine

Verdonck, Bert; Nijlunsing, P.; Gerritsen, Frans; Cheung, John; Wever, Dirk Jan; Veldhuizen, Albert G.; Devillers, S.; Makram–Ebeid, S.

doi:10.1007/bfb0056270

Cited by 17 publications

(18 citation statements)

References 5 publications

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“…The fitted 3D curve is then used to perform Lenke and King classification of the type of scoliotic deformities [11,12]. In [7], the user manually fits a 3D Bezier curve with 6 control points to the centerline of the spine in biplanar x-ray images. In addition, the user identifies landmarks on key vertebrae in the images, and the algorithm interpolates the landmarks of other vertebrae based on the fitted 3D curve.…”

Section: Related Workmentioning

confidence: 99%

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Modeling and Measurement of 3D Deformation of Scoliotic Spine Using 2D X-ray Images

Leow

Huang

et al. 2009

Computer Analysis of Images and Patterns

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Abstract. Scoliosis causes deformations such as twisting and lateral bending of the spine. To correct scoliotic deformation, the extents of 3D spinal deformation need to be measured. This paper studies the modeling and measurement of scoliotic spine based on 3D curve model. Through modeling the spine as a 3D Cosserat rod, the 3D structure of a scoliotic spine can be recovered by obtaining the minimum potential energy registration of the rod to the scoliotic spine in the x-ray image. Test results show that it is possible to obtain accurate 3D reconstruction using only the landmarks in a single view, provided that appropriate boundary conditions and elastic properties are included as constraints.

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Section: Related Workmentioning

confidence: 99%

“…In one extreme, a 3D curve is regarded as a simplified model of the spine, and it is registered to the spine in the x-ray image [5][6][7]. This approach is efficient but its accuracy is not guaranteed due to the simplicity of the model.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Measurement of 3D Deformation of Scoliotic Spine Using 2D X-ray Images

Leow

Huang

et al. 2009

Computer Analysis of Images and Patterns

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“…Image-based analysis of spinal morphology predominantly involves multiplanar images on which two-dimensional (2-D) segmentation models, e.g., [4] and [5] or 3-D segmentation models, e.g., [6] and [7], are applied. Here, we discuss a number of 3-D models for segmentation of 3-D spinal or vertebral images in terms of boundary model, objective function, model deformation and interaction.…”

Section: Related Workmentioning

confidence: 99%

“…The corresponding standard deviation is (5) The average feature function is investigated for high curvature points on the basis of its local second order properties [23]. These properties are obtained from the infinite set of planes passing through and containing the normal in geometric space at a specific point on the population average surface .…”

Section: ) Surface Representationmentioning

confidence: 99%

Combining Strings and Necklaces for Interactive Three-Dimensional Segmentation of Spinal Images Using an Integral Deformable Spine Model

Ghebreab

Smeulders

2004

IEEE Trans. Biomed. Eng.

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Abstract-Segmentation of the spine directly from three-dimensional (3-D) image data is desirable to accurately capture its morphological properties. We describe a method that allows true 3-D spinal image segmentation using a deformable integral spine model. The method learns the appearance of vertebrae from multiple continuous features recorded along vertebra boundaries in a given training set of images. Important summarizing statistics are encoded into a necklace model on which landmarks are differentiated on their free dimensions. The landmarks are used within a priority segmentation scheme to reduce the complexity of the segmentation problem. Necklace models are coupled by string models. The string models describe in detail the biological variability in the appearance of spinal curvatures from multiple continuous features recorded in the training set. In the segmentation phase, the necklace and string models are used to interactively detect vertebral structures in new image data via elastic deformation reminiscent of a marionette with strings allowing for movement between interrelated structures. Strings constrain the deformation of the spine model within feasible solutions. The driving application in this work is analysis of computed tomography scans of the human lumbar spine. An illustration of the segmentation process shows that the method is promising for segmentation of the spine and for assessment of its morphological properties.Index Terms-Energy-minimization methods, functional data analysis, interactive image segmentation, landmark-based object segmentation, statistical deformable models.

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“…The fitted curve was used to initialize and rigidly match templates of vertebral body with the image data to obtain vertebral outlines. Verdonck et al [5] manually indicated specific landmarks in the image and founded others using an interpolation technique. The landmarks, together with a manually indicated axis of the spinal column, were used to automatically compute endplates on vertebrae and the global outline of the spine.…”

Section: Introductionmentioning

confidence: 99%

A New Approach for Cervical Vertebrae Segmentation

Mahmoudi¹,

Benjellοun²

Lecture Notes in Computer Science

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Abstract. Efficient content-based image retrieval of biomedical images is a challenging problem of growing research interest. This paper describes how X-ray images of the spinal columns are analyzed in order to extract vertebra regions and contours. Our goal is to develop a computer vision tool able to determine a global polygonal region for each vertebra in first time. After this step, we apply a polar signature system in order to extract the effective contour of each vertebra. Finally, we use an edge closing method exploiting a polynomial fitting. The aim is to propose a closed contours detection representing each vertebra separately. We suggest an application of the proposed method which consists on an evaluation of vertebra motion induced by their movement between two or several positions.

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Computer assisted quantitative analysis of deformities of the human spine

Cited by 17 publications

References 5 publications

Modeling and Measurement of 3D Deformation of Scoliotic Spine Using 2D X-ray Images

Modeling and Measurement of 3D Deformation of Scoliotic Spine Using 2D X-ray Images

Combining Strings and Necklaces for Interactive Three-Dimensional Segmentation of Spinal Images Using an Integral Deformable Spine Model

A New Approach for Cervical Vertebrae Segmentation

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