Literature DB >> 12193996

Three-dimensional surface rendering reconstruction of scoliotic vertebrae using a non stereo-corresponding points technique.

A Mitulescu1, W Skalli, D Mitton, J A De Guise.   

Abstract

The medical imaging techniques that allow a three-dimensional (3D) surface rendering reconstruction, which is usually required by the clinician when dealing with scoliotic patients, are computed tomography (CT) and stereoradiography. However, CT cannot provide a 3D rendering of the whole spine because of the high irradiating dose, while the stereoradiographic 3D reconstruction techniques, which use an algorithm derived from the direct linear transformation (DLT), are usually limited in accuracy because of the small number of corresponding anatomical landmarks identifiable on both radiographs. The purpose of the present study is to validate a recent biplanar 3D surface rendering reconstruction technique on scoliotic vertebrae. This technique, called "non stereo-corresponding points" (NSCP), has already been tested on non-pathologic dry cervical vertebrae and frozen lumbar specimens, and the results have proved very encouraging. Since scoliosis is a 3D deformity of the vertebrae and of the global spine, such a technique could be a very useful clinical tool for the diagnostic, follow-up and surgical planning when dealing with scoliotic patients. The validation of the NSCP technique on scoliotic patients was performed on 58 scoliotic vertebrae in 14 patients, by comparison with the CT scan 3D rendering technique. The results of this study show mean errors of 1.5 mm. On the basis of this study, we can conclude that the NSCP 3D reconstruction technique is a definite improvement over existing techniques, and can serve as a useful diagnosis tool in scoliosis. However, the results of the technique still need to be optimized for use in geometrical modeling.

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Year:  2002        PMID: 12193996      PMCID: PMC3610474          DOI: 10.1007/s00586-002-0432-8

Source DB:  PubMed          Journal:  Eur Spine J        ISSN: 0940-6719            Impact factor:   3.134


  6 in total

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Journal:  Surg Radiol Anat       Date:  2003-09-16       Impact factor: 1.246

2.  Improving Visibility of Stereo-Radiographic Spine Reconstruction with Geometric Inferences.

Authors:  Sampath Kumar; K Prabhakar Nayak; K S Hareesha
Journal:  J Digit Imaging       Date:  2016-04       Impact factor: 4.056

3.  A semi-automated method using interpolation and optimisation for the 3D reconstruction of the spine from bi-planar radiography: a precision and accuracy study.

Authors:  Raphaël Dumas; Bertrand Blanchard; Robert Carlier; Christian Garreau de Loubresse; Jean-Charles Le Huec; Catherine Marty; Maryse Moinard; Jean-Marc Vital
Journal:  Med Biol Eng Comput       Date:  2007-09-14       Impact factor: 2.602

4.  Personalized models of bones based on radiographic photogrammetry.

Authors:  E Berthonnaud; R Hilmi; J Dimnet
Journal:  Surg Radiol Anat       Date:  2009-02-04       Impact factor: 1.246

5.  Region-Based Convolutional Neural Network-Based Spine Model Positioning of X-Ray Images.

Authors:  Le Zhang; Jiabao Zhang; Song Gao
Journal:  Biomed Res Int       Date:  2022-06-17       Impact factor: 3.246

6.  3D ultrasound imaging provides reliable angle measurement with validity comparable to X-ray in patients with adolescent idiopathic scoliosis.

Authors:  Timothy Tin-Yan Lee; Kelly Ka-Lee Lai; Jack Chun-Yiu Cheng; René Marten Castelein; Tsz-Ping Lam; Yong-Ping Zheng
Journal:  J Orthop Translat       Date:  2021-05-19       Impact factor: 5.191

  6 in total

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