dc.contributor.author |
Gamage, P |
en |
dc.contributor.author |
Xie, SQ |
en |
dc.contributor.author |
Delmas, Patrice |
en |
dc.contributor.author |
Xu, WL |
en |
dc.date.accessioned |
2012-06-26T03:54:21Z |
en |
dc.date.issued |
2011-09 |
en |
dc.identifier.citation |
Computerized Medical Imaging and Graphics 35(6):427-437 Sep 2011 |
en |
dc.identifier.issn |
0895-6111 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/19167 |
en |
dc.description.abstract |
Three dimensional (3D) visualization of anatomy plays an important role in image guided orthopedic surgery and ultimately motivates minimally invasive procedures. However, direct 3D imaging modalities such as Computed Tomography (CT) are restricted to a minority of complex orthopedic procedures. Thus the diagnostics and planning of many interventions still rely on two dimensional (2D) radiographic images, where the surgeon has to mentally visualize the anatomy of interest. The purpose of this paper is to apply and validate a bi-planar 3D reconstruction methodology driven by prominent bony anatomy edges and contours identified on orthogonal radiographs. The results obtained through the proposed methodology are benchmarked against 3D CT scan data to assess the accuracy of reconstruction. The human femur has been used as the anatomy of interest throughout the paper. The novelty of this methodology is that it not only involves the outer contours of the bony anatomy in the reconstruction but also several key interior edges identifiable on radiographic images. Hence, this framework is not simply limited to long bones, but is generally applicable to a multitude of other bony anatomies as illustrated in the results section |
en |
dc.publisher |
Elsevier |
en |
dc.relation.ispartofseries |
Computerized Medical Imaging and Graphics |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/0895-6111/ |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.title |
Diagnostic radiograph based 3D bone reconstruction framework: application to the femur |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1016/j.compmedimag.2010.09.008 |
en |
pubs.issue |
6 |
en |
pubs.begin-page |
427 |
en |
pubs.volume |
35 |
en |
dc.rights.holder |
Copyright: Elsevier |
en |
pubs.end-page |
437 |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
282443 |
en |
pubs.org-id |
Science |
en |
pubs.org-id |
School of Computer Science |
en |
pubs.record-created-at-source-date |
2012-01-31 |
en |