Comparative Evaluation of Pelvic Allograft Selection Methods

Bousleiman, Habib; Paul, Laurent; Nolte, Lutz-Peter; Reyes, Mauricio (2013). Comparative Evaluation of Pelvic Allograft Selection Methods. Annals of biomedical engineering, 41(5), pp. 931-938. Springer US; http://www.springer-ny.com 10.1007/s10439-013-0739-0

[img] Text
art%3A10.1007%2Fs10439-013-0739-0.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (687kB) | Request a copy
[img]
Preview
Text
BouABE2013.pdf - Accepted Version
Available under License Publisher holds Copyright.

Download (2MB) | Preview
[img]
Preview
Text
10439_2013_Article_739.pdf - Other
Available under License Publisher holds Copyright.

Download (687kB) | Preview

This paper presents a firsthand comparative evaluation of three different existing methods for selecting a suitable allograft from a bone storage bank. The three examined methods are manual selection, automatic volume-based registration, and automatic surface-based registration. Although the methods were originally published for different bones, they were adapted to be systematically applied on the same data set of hemi-pelvises. A thorough experiment was designed and applied in order to highlight the advantages and disadvantages of each method. The methods were applied on the whole pelvis and on smaller fragments, thus producing a realistic set of clinical scenarios. Clinically relevant criteria are used for the assessment such as surface distances and the quality of the junctions between the donor and the receptor. The obtained results showed that both automatic methods outperform the manual counterpart. Additional advantages of the surface-based method are in the lower computational time requirements and the greater contact surfaces where the donor meets the recipient.

Item Type:

Journal Article (Original Article)

Division/Institute:

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

UniBE Contributor:

Bou Sleiman, Habib; Nolte, Lutz-Peter and Reyes, Mauricio

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health
000 Computer science, knowledge & systems

ISSN:

0090-6964

Publisher:

Springer US; http://www.springer-ny.com

Language:

English

Submitter:

Mauricio Antonio Reyes Aguirre

Date Deposited:

15 Apr 2014 10:47

Last Modified:

26 Jun 2018 13:58

Publisher DOI:

10.1007/s10439-013-0739-0

BORIS DOI:

10.7892/boris.46459

URI:

https://boris.unibe.ch/id/eprint/46459

Actions (login required)

Edit item Edit item
Provide Feedback