Automated CT bone segmentation using statistical shape modelling and local template matching.

Taghizadeh, Elham; Terrier, Alexandre; Becce, Fabio; Farron, Alain; Büchler, Philippe (2019). Automated CT bone segmentation using statistical shape modelling and local template matching. Computer methods in biomechanics and biomedical engineering, 22(16), pp. 1303-1310. Taylor & Francis 10.1080/10255842.2019.1661391

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Accurate CT bone segmentation is essential to develop chair-side manufacturing of implants based on additive manufacturing. We herewith present an automated method able to accurately segment challenging bone regions, while simultaneously providing anatomical correspondences. The method was evaluated on demanding regions: normal and osteoarthritic scapulae, healthy and atrophied mandibles, and orbital bones. On average, results were accurate with surface distances of approximately 0.5 mm and average Dice coefficients >90%. Since anatomical correspondences are propagated during the segmentation process, this approach can directly yield anatomical measurements, provide design parameters for personalized surgical instruments, or determine the bone geometry to manufacture patient-specific implants.

Item Type:

Journal Article (Original Article)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Musculoskeletal Biomechanics

UniBE Contributor:

Taghizadeh, Elham and Büchler, Philippe

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health
600 Technology > 620 Engineering

ISSN:

1025-5842

Publisher:

Taylor & Francis

Language:

English

Submitter:

Philippe Büchler

Date Deposited:

17 Dec 2019 16:31

Last Modified:

17 Dec 2019 16:31

Publisher DOI:

10.1080/10255842.2019.1661391

PubMed ID:

31482715

Uncontrolled Keywords:

Bone segmentation computed tomography correction statistical shape model template matching

BORIS DOI:

10.7892/boris.135574

URI:

https://boris.unibe.ch/id/eprint/135574

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