Header

UZH-Logo

Maintenance Infos

A morphological approach to the simulation of forearm motion


Furnstahl, P; Schweizer, A; Nagy, L; Szekely, G; Harders, M (2009). A morphological approach to the simulation of forearm motion. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1:7168-7171.

Abstract

Computer-based simulations support surgeons in preoperative planning of osteotomy and assessing the improvement of the forearm motion. To this end, an in-silico model of patient-specific forearm kinematics is required. In this paper we introduce a motion model of the forearm which is based on a patient's joint morphology, the form and shape of the joints. The morphology of the articulations is represented by 3-dimensional splines. In this way the gliding motion of the articulations is expressed analytically in a closed-form. Our algorithm was designed to work with available clinical planning data and requires minimal user interaction. This allows an integration in computer-aided planning systems that are operated by surgeons. The accuracy of the simulation results is verified via cadaver experiments.

Abstract

Computer-based simulations support surgeons in preoperative planning of osteotomy and assessing the improvement of the forearm motion. To this end, an in-silico model of patient-specific forearm kinematics is required. In this paper we introduce a motion model of the forearm which is based on a patient's joint morphology, the form and shape of the joints. The morphology of the articulations is represented by 3-dimensional splines. In this way the gliding motion of the articulations is expressed analytically in a closed-form. Our algorithm was designed to work with available clinical planning data and requires minimal user interaction. This allows an integration in computer-aided planning systems that are operated by surgeons. The accuracy of the simulation results is verified via cadaver experiments.

Statistics

Citations

2 citations in Web of Science®
1 citation in Scopus®
Google Scholar™

Altmetrics

Downloads

33 downloads since deposited on 19 Feb 2010
4 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, further contribution
Communities & Collections:04 Faculty of Medicine > Balgrist University Hospital, Swiss Spinal Cord Injury Center
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:2009
Deposited On:19 Feb 2010 08:21
Last Modified:05 Apr 2017 12:50
Publisher:Piscataway, NJ, US
ISSN:1557-170X
Additional Information:© 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
Free access at:Related URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.1109/IEMBS.2009.5334629
Related URLs:ftp://ftp.vision.ee.ethz.ch/publications/proceedings/eth_biwi_00636.pdf
PubMed ID:19965092

Download

Preview Icon on Download
Preview
Filetype: PDF
Size: 2MB
View at publisher

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations