Literature DB >> 18093692

Analysis of existing methods for 3D modelling of femurs starting from two orthogonal images and development of a script for a commercial software package.

Stefano Filippi1, Barbara Motyl, Camillo Bandera.   

Abstract

BACKGROUND: At present the interest in medical field about the generation of three-dimensional digital models of anatomical structures increases due to the widespread diffusion of CAS--computer assisted surgery--systems. Most of them are based on CT--computer tomography--or MR--magnetic resonance--data volumes but sometimes this information is not available; there are only few X-ray, ultrasound or fluoroscopic images.
METHODS: This paper describes the study and the development of a script for a commercial software package (3ds Max) able to reconfigure the template model of a femur starting from two orthogonal images representing the specific patient's anatomy.
RESULTS: The script was used in several tests as summarized in this paper and the results appear to be interesting and acceptable, even for the medical experts that evaluated them.
CONCLUSIONS: The script developed in this work allows the generation of the 3D model of a femur in a very simple way (the user interface has been developed obeying to the main usability guidelines) and using a widespread commercial package. The quality of the results can be compared to the quality of more expensive and specialized systems.

Entities:  

Mesh:

Year:  2008        PMID: 18093692     DOI: 10.1016/j.cmpb.2007.10.011

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  9 in total

1.  A preliminary study for determination of three-dimensional root apex position of the maxillary teeth using camera calibration technology.

Authors:  Hyun Jun Oh; Il-Hyung Yang; Seung-Hak Baek
Journal:  Dentomaxillofac Radiol       Date:  2015-08-28       Impact factor: 2.419

2.  3D femur model reconstruction from biplane X-ray images: a novel method based on Laplacian surface deformation.

Authors:  Vikas Karade; Bhallamudi Ravi
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-07-19       Impact factor: 2.924

3.  Cochlear inner hair cell ribbon synapse is the primary target of ototoxic aminoglycoside stimuli.

Authors:  Ke Liu; Xuejun Jiang; Chuang Shi; Lei Shi; Bo Yang; Lin Shi; Yice Xu; Weiyan Yang; Shiming Yang
Journal:  Mol Neurobiol       Date:  2013-04-20       Impact factor: 5.590

4.  Effect of different gentamicin dose on the plasticity of the ribbon synapses in cochlear inner hair cells of C57BL/6J mice.

Authors:  Liping Chen; Siqing Xiong; Yi Liu; Xiuli Shang
Journal:  Mol Neurobiol       Date:  2012-08-04       Impact factor: 5.590

5.  Three types of the serial segmented images suitable for surface reconstruction.

Authors:  Dong Sun Shin; Jin Seo Park; Min Suk Chung
Journal:  Anat Cell Biol       Date:  2012-06-30

6.  Software Framework for the Creation and Application of Personalized Bone and Plate Implant Geometrical Models.

Authors:  Nikola Vitković; Srđan Mladenović; Milan Trifunović; Milan Zdravković; Miodrag Manić; Miroslav Trajanović; Dragan Mišić; Jelena Mitić
Journal:  J Healthc Eng       Date:  2018-10-10       Impact factor: 2.682

7.  Long‑term treatment with salicylate enables NMDA receptors and impairs AMPA receptors in C57BL/6J mice inner hair cell ribbon synapse.

Authors:  Wanming Cui; Haolin Wang; Yu Cheng; Xiaorui Ma; Yu Lei; Xingxing Ruan; Lin Shi; Mei Lv
Journal:  Mol Med Rep       Date:  2018-11-05       Impact factor: 2.952

8.  Additive Manufacturing Techniques for the Reconstruction of 3D Fetal Faces.

Authors:  Domenico Speranza; Daniela Citro; Francesco Padula; Barbara Motyl; Federica Marcolin; Michele Calì; Massimo Martorelli
Journal:  Appl Bionics Biomech       Date:  2017-12-19       Impact factor: 1.781

9.  On the Development of Virtual Reality Scenarios for Computer-Assisted Biomedical Applications.

Authors:  Eder H Govea-Valladares; Hugo I Medellin-Castillo; Jorge Ballesteros; Miguel A Rodriguez-Florido
Journal:  J Healthc Eng       Date:  2018-08-30       Impact factor: 2.682

  9 in total

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