Geometric Properties of the 3D Spine Curve

Sotoca, José Martínez; Buendía, Mateo; Iñesta, José M.; Ferri, Francesc J.

doi:10.1007/978-3-540-44871-6_116

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…After this first study, in [13] a relationship between information from a structured light 3D scanner and traditional X-ray images is proposed. Their method consisted of building a back-surface depth map for a set of reference nodes for calibration purposes, while the remainder of points on the back surface were reconstructed by means of a parametric approximation.…”

Section: Cutaneous Marking-based Methodsmentioning

confidence: 99%

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A Survey of Methods for Symmetry Detection on 3D High Point Density Models in Biomedicine

Bartalucci¹,

Furferi²,

Governi³

et al. 2018

Symmetry

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Versatile, cheap and non-invasive 3D acquisition techniques have received attention and interest in the field of biomedicine in recent years as the accuracy of developed devices permits the acquisition of human body shapes in detail. Interest in these technologies derives from the fact that they have the potential to overcome some limitations of invasive techniques (CT, X-rays, etc.) and those based on 2D photographs for the acquisition of 3D geometry. However, the data acquired from the 3D scanner cannot be directly used but need to be processed as they consist of 3D coordinates of the acquired points. Therefore, many researchers have proposed different algorithms which recognise the shape of human body and/or its features when starting from a 3D point cloud. Among all possible human body features to be evaluated, symmetry results the most relevant one. Accordingly, this survey systematically investigates the methods proposed in the literature to recognise 2D symmetry by the symmetry line and bilateral symmetry by the symmetry plane. The paper also analyses qualitative comparisons among the proposed methods to provide a guide for both practitioners and researchers.

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Section: Cutaneous Marking-based Methodsmentioning

confidence: 99%

“…Results using the traditional and the refinement approaches for some significant analysed cases[13].…”

mentioning

confidence: 99%

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A Survey of Methods for Symmetry Detection on 3D High Point Density Models in Biomedicine

Bartalucci¹,

Furferi²,

Governi³

et al. 2018

Symmetry

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Dynamics of Vertebral Column Observed by Stereovision and Recurrent Neural Network Model

González

Jankowski

Dusza

et al. 2005

Biological and Medical Data Analysis

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A Method for Detection and Modeling of the Human Spine Based on Principal Curvatures

Santiesteban

Sanchiz

Sotoca

2006

Lecture Notes in Computer Science

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Abstract. The detection and modeling of the human spine from scanned 3D data is an important issue in biomedical shape analysis. It can be useful for avoiding invasive treatments like radiographs, taken for the purpose of monitoring spine deformations and its correction, as is the cases in scoliosis. This is especially important with children.This work presents a new method for the detection of the human spine from 3D models of human backs formed by triangular meshes, and taken with a range sensor. The method is based on the estimation of the principal curvatures directions, and by joining valley points along these directions. Results are presented with the method applied to scanned 3D models of real patients.

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Geometric Properties of the 3D Spine Curve

Cited by 4 publications

References 9 publications

A Survey of Methods for Symmetry Detection on 3D High Point Density Models in Biomedicine

A Survey of Methods for Symmetry Detection on 3D High Point Density Models in Biomedicine

Dynamics of Vertebral Column Observed by Stereovision and Recurrent Neural Network Model

A Method for Detection and Modeling of the Human Spine Based on Principal Curvatures

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