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

Li, Hao; Leow, Wee Kheng; Huang, Chiu-Jung; Howe, Tet Sen

doi:10.1007/978-3-642-03767-2_79

Cited by 7 publications

(4 citation statements)

References 17 publications

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“…Scoliosis with a significant curvature in the patient's frontal plane requires immediate treatment (most probably surgical), as it is very likely to lead to disability and changes in posture. The conventional clinical method to diagnose a spinal deformity is based on therapists' subjective assessment, by measuring typical angles of the scoliosis curve directly from the posterior/anterior (PA) and lateral x-ray images [8,9], or by the image processing technique such as a newly introduced low dose ionising system [7].…”

Section: Introductionmentioning

confidence: 99%

The recognition and modelling of a backbone and its deformity

Markauskas

Juozapavičius

Saniukas

et al. 2014

NAMC

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In this article the authors present a method for the backbone recognition and modelling. The process of recognition combines some classical techniques (Hough transformation, GVF snakes) with some new (authors present a method for initial curvature detection, which they call the Falling Ball method). The result enables us to identify high-quality features of the spine and to detect the major deformities of backbone: the intercrestal line, centre sacral vertical line, C7 plumbline; as well as angles: proximal thoracic curve, main thoracic curve, thoracolumbar/lumbar. These features are used for measure in adolescent idiopathic scoliosis, especially in the case of treatment. Input data are just radiographic images, meet in everyday practice.

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Section: Introductionmentioning

confidence: 99%

The recognition and modelling of a backbone and its deformity

Markauskas

Juozapavičius

Saniukas

et al. 2014

NAMC

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“…It represents a 3D tubular object using a 1D centerline and orthonormal directors associated with the centerline (Figure 2). Due to its physical accuracy and computational efficiency, it has been applied to a wide range of application domains including the simulation of surgical threads and catheters [Pai02, CDL*05, LCDN06], hair strands [BAQ*05, BAC*06], ropes and knots [ST07, ST08], cables [GS07], DNA [HMM03, GPL05], and scoliotic spine [LLHH09]. Cosserat rod theory makes the assumption that the rod has rigid cross‐sections that are small compared to its length.…”

Section: Introductionmentioning

confidence: 99%

Elastic Tubes: Modeling Elastic Deformation of Hollow Tubes

Hao

Leow

Chiu

2010

Computer Graphics Forum

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The Cosserat theory of elastic rods has been used in a wide range of application domains to model and simulate the elastic deformation of thin rods. It is physically accurate and its implementations are efficient for interactive simulation. However, one requirement of using Cosserat rod theory is that the tubular object must have rigid cross-sections that are small compared to its length. This requirement make it difficult for the approach to model elastic deformation of rods with large, non-rigid cross-sections that can change shape during rod deformation, in particular, hollow tubes. Our approach achieves this task using a hybrid model that binds a mesh elastically to a reference Cosserat rod. The mesh represents the surface of the hollow tube while the reference rod models bending, twisting, shearing and stretching of the tube. The cross-sections of the tube may take on any arbitrary shape. The binding is established by a mapping between mesh vertices and the rod's directors. Deformation of the elastic tube is accomplished in two phases. First, the reference rod is deformed according to Cosserat theory. Next, the mesh is deformed using Laplacian deformation according to its mapping to the rod and its surface elastic energy. This hybrid approach allows the tube to deform in a physically correct manner in relation to the bending, twisting, shearing, and stretching of the reference rod. It also allows the surface to deform realistically and efficiently according to surface elastic energy and the shape of the reference rod. In this way, the deformation of elastic hollow tubes with large, non-rigid cross-sections can be simulated accurately and efficiently.

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“…Scoliosis with significant curvature of the spine needs immediate treatment as it more likely to progress. The traditional way of identifying the spinal deformity is measuring the angles of scoliosis curves directly on the X-ray films [4,5]. Three dimensional knowledge of the bony anatomy is vital in visualizing true representation of anatomic structures and in the therapeutic and prognostic aspects (accurate measurement of irregularities and curvature in the complex spinal structures).…”

Section: Introductionmentioning

confidence: 99%

Development of 3D Kinematic Model of the Spine for Idiopathic Scoliosis Simulation

Cukovic¹,

Devedzic²,

Ivanović³

et al. 2010

Computer-Aided Design and Applications

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This paper presents a methodology for developing kinematic model of the human scoliosis simulator using 3D models of spinal vertebrae reconstructed from point clouds. The main objectives of the work are (i) to reduce the number of spinal radiographs required for measuring idiopathic spinal deformities, the most common spine deformity (more than 80% of cases) at adolescents and (ii) improve the visualization and measurement for better treatment planning. The reconstructed 3D model is parameterized and used as a reference model for creating patient-specific anatomical models based on dimensions extracted from radiographic images (Cobb angle and dislocation of vertebrae). The methodology has been implemented and demonstrated with a case study.

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

Cited by 7 publications

References 17 publications

The recognition and modelling of a backbone and its deformity

The recognition and modelling of a backbone and its deformity

Elastic Tubes: Modeling Elastic Deformation of Hollow Tubes

Development of 3D Kinematic Model of the Spine for Idiopathic Scoliosis Simulation

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