Toward the Development of Virtual Surgical Tools to Aid Orthopaedic FE Analyses

Srinivas Tadepalli; Kiran Shivanna; Vincent Magnotta; Nicole Kallemeyn; Nicole Grosland

doi:10.1155/2010/190293

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Toward the Development of Virtual Surgical Tools to Aid Orthopaedic FE Analyses

Journal article

Open access

Peer reviewed

Toward the Development of Virtual Surgical Tools to Aid Orthopaedic FE Analyses

Srinivas Tadepalli, Kiran Shivanna, Vincent Magnotta, Nicole Kallemeyn and Nicole Grosland

EURASIP journal on advances in signal processing, Vol.2010(1), pp.1-7

12/2009

DOI: 10.1155/2010/190293

PMCID: PMC2850277

PMID: 20376204

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Abstract

Computational models of joint anatomy and function provide a means for biomechanists, physicians, and physical therapists to understand the effects of repetitive motion, acute injury, and degenerative diseases. Finite element models, for example, may be used to predict the outcome of a surgical intervention or to improve the design of prosthetic implants. Countless models have been developed over the years to address a myriad of orthopaedic procedures. Unfortunately, few studies have incorporated patient-specific models. Historically, baseline anatomic models have been used due to the demands associated with model development. Moreover, surgical simulations impose additional modeling challenges. Current meshing practices do not readily accommodate the inclusion of implants. Our goal is to develop a suite of tools (virtual instruments and guides) which enable surgical procedures to be readily simulated and to facilitate the development of all-hexahedral finite element mesh definitions.

Quantum Information Technology, Spintronics

Engineering

Signal, Image and Speech Processing

Details

Title: Subtitle: Toward the Development of Virtual Surgical Tools to Aid Orthopaedic FE Analyses
Creators: Srinivas Tadepalli - Center for Computer Aided Design The University of Iowa 116 Engineering Research Facility, 330 S. Madison Street Iowa City IA 52242 USA
Kiran Shivanna - Center for Computer Aided Design The University of Iowa 116 Engineering Research Facility, 330 S. Madison Street Iowa City IA 52242 USA
Vincent Magnotta - Department of Radiology University of Iowa Hospitals and Clinics 200 Hawkins Drive Iowa City IA 52242 USA
Nicole Kallemeyn - Center for Computer Aided Design The University of Iowa 116 Engineering Research Facility, 330 S. Madison Street Iowa City IA 52242 USA
Nicole Grosland - Department of Orthopaedics and Rehabilitation University of Iowa Hospitals and Clinics 200 Hawkins Drive Iowa City IA 52242 USA
Resource Type: Journal article
Publication Details: EURASIP journal on advances in signal processing, Vol.2010(1), pp.1-7
DOI: 10.1155/2010/190293
PMID: 20376204
PMCID: PMC2850277
NLM abbreviation: EURASIP J Adv Signal Process
ISSN: 1687-6172
eISSN: 1687-6180
Publisher: Springer International Publishing; Cham
Language: English
Date published: 12/2009
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Psychiatry; Iowa Neuroscience Institute; Orthopedics and Rehabilitation; Injury Prevention Research Center
Record Identifier: 9984040226202771

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