Medical imaging genesis for finite element-based mandibular surgical planning in the pediatric subject

2005 ◽  
Author(s):  
Linping Zhao ◽  
P.K. Patel ◽  
G.E.O. Widera ◽  
H. Han ◽  
G.F. Harris
Keyword(s):  
Finite Element ◽  
Medical Imaging ◽  
Surgical Planning ◽  
Pediatric Subject

A finite element tool for the analysis and the design of capacitive micromachined ultrasonic transducer (cMUT) arrays for medical imaging

2008 ◽  
Vol 123 (5) ◽  
pp. 3375-3375 ◽  
Author(s):  
Alessandro Caronti ◽  
Giosue' Caliano ◽  
Philipp Gatta ◽  
Cristina Longo ◽  
Alessandro Savoia ◽  
...  
Keyword(s):  
Finite Element ◽  
Medical Imaging ◽  
Ultrasonic Transducer ◽  
Capacitive Micromachined Ultrasonic Transducer

Pre-Surgical Planning of Screw-Position Arrangement for the Femur Fractures With a Custom APP

2018 ◽  
Author(s):  
Chen-Yuan Chung ◽  
Jiing-Yih Lai ◽  
He-Kai Young ◽  
Han-Yuan Gao
Keyword(s):  
Computed Tomography ◽  
Finite Element ◽  
Stress Distribution ◽  
Surgical Planning ◽  
Bone Fractures ◽  
Element Model ◽  
Stress And Strain ◽  
Femur Fractures ◽  
Reference Information ◽  
Screw Position

Several types of implants, plates, and screws have been developed for corresponding bone fractures at different sites. To understand the mechanical behavior of a bone plate and to provide surgeons with suggestions for selecting screw positions, this study aimed to create an APP to provide pre-surgical planning using a computed tomography (CT)-based finite element model. This model was validated using a compression test of synthetic sawbones. Furthermore, the specific APP was established using the COMSOL application builder to calculate the stress and strain of the implant under different screw positions. This APP reveals how the number and location of screws affect the stress distribution of the implant. It can provide clinicians with preliminary reference information before surgery.

Automating the Generation of 3D Finite Element Models Based on Medical Imaging Data

2006 ◽  
Author(s):  
Philippe Young ◽  
G. Tabor ◽  
T. Collins ◽  
J. Richterova ◽  
E. Dejuniat ◽  
...  
Keyword(s):  
Finite Element ◽  
Medical Imaging ◽  
Finite Element Models ◽  
Imaging Data ◽  
3D Finite Element ◽  
Medical Imaging Data

Mass-Spring vs. Finite Element Models of Anisotropic Heart Valves: Speed and Accuracy

2010 ◽  
Author(s):  
Peter E. Hammer ◽  
Michael S. Sacks ◽  
Pedro J. del Nido ◽  
Robert D. Howe
Keyword(s):  
Finite Element ◽  
Surgical Planning ◽  
Heart Valves ◽  
Computational Models ◽  
Planning System ◽  
Valve Repair ◽  
Fe Method ◽  
Deformable Bodies ◽  
Mass Spring ◽  
Speed And Accuracy

Heat valve dysfunction can lead to heart failure and death, and surgery is the standard treatment. Valve repair surgery is performed under cardiopulmonary bypass making it difficult for the surgeon to know if a surgical modification will be effective when blood flow is restored. A surgical planning system has been proposed to improve surgical outcomes by allowing a surgeon to explore valve repair strategies on a computer model of a patient’s valve (1). Many groups have published computational models of heart valves based on the finite element (FE) method, but they are prohibitively slow for simulating valve mechanics in an interactive setting. Mass-spring (MS) networks have been used as an alternative to FE methods for modeling deformable bodies, trading off accuracy for speed.

Sign in / Sign up

Export Citation Format

Share Document