An image-based method to automatically propagate bony landmarks: application to computational spine biomechanics.

Elias de Oliveira, Marcelo; Netto, Luiz M G; Kistler, Michael; Brandenberger, Daniel; Büchler, Philippe; Hasler, Carol-C (2015). An image-based method to automatically propagate bony landmarks: application to computational spine biomechanics. Computer methods in biomechanics and biomedical engineering, 18(14), pp. 1535-1542. Taylor & Francis 10.1080/10255842.2014.927445

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In attempts to elucidate the underlying mechanisms of spinal injuries and spinal deformities, several experimental and numerical studies have been conducted to understand the biomechanical behavior of the spine. However, numerical biomechanical studies suffer from uncertainties associated with hard- and soft-tissue anatomies. Currently, these parameters are identified manually on each mesh model prior to simulations. The determination of soft connective tissues on finite element meshes can be a tedious procedure, which limits the number of models used in the numerical studies to a few instances. In order to address these limitations, an image-based method for automatic morphing of soft connective tissues has been proposed. Results showed that the proposed method is capable to accurately determine the spatial locations of predetermined bony landmarks. The present method can be used to automatically generate patient-specific models, which may be helpful in designing studies involving a large number of instances and to understand the mechanical behavior of biomechanical structures across a given population.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued]

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Elias de Oliveira, Marcelo; Kistler, Michael and Büchler, Philippe

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISSN:

1025-5842

Publisher:

Taylor & Francis

Language:

English

Submitter:

Philippe Büchler

Date Deposited:

17 Dec 2014 14:52

Last Modified:

13 Jan 2016 08:58

Publisher DOI:

10.1080/10255842.2014.927445

PubMed ID:

24960066

Uncontrolled Keywords:

automatic morphing, finite element meshes, image-based method, soft connective tissues

BORIS DOI:

10.7892/boris.60904

URI:

https://boris.unibe.ch/id/eprint/60904

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