LIVIVO - Search results -

Search results

Result 1 - 10 of total 37

Search options

Book ; Online: Brain and Human Body Modeling

Makarov, Sergey / Horner, Marc / Noetscher, Gregory

Computational Human Modeling at EMBC 2018

2019

Author's details	edited by Sergey Makarov, Marc Horner, Gregory Noetscher
Keywords	Biomedical engineering ; Systems engineering ; Microwaves ; Computersimulation ; Körper ; Gehirn
Subject	Cerebrum ; Hirn ; Encephalon ; Enzephalon ; Hirngewebe ; Hirnmasse ; Gehirnmasse ; Mensch ; Menschlicher Körper ; Corpus ; Simulation ; Computer ; Simulationstechnik ; Systemsimulation ; Digitale Simulation ; Computermodell ; Rechnersimulation
Subject code	610.28
Language	English
Size	1 Online-Ressource (XI, 402 p. 175 illus., 148 illus. in color)
Edition	1st ed. 2019
Publisher	Springer International Publishing ; Imprint: Springer
Publishing place	Cham
Document type	Book ; Online
HBZ-ID	HT020186987
ISBN	978-3-030-21293-3 ; 9783030212926 ; 9783030212940 ; 9783030212957 ; 3-030-21293-9 ; 3030212920 ; 3030212947 ; 3030212955
DOI	10.1007/978-3-030-21293-3
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Book ; Online: Brain and Human Body Modeling : Computational Human Modeling at EMBC 2018

Makarov, Sergey / Horner, Marc / Noetscher, Gregory

2019

Keywords	Biomedical engineering ; Circuits & components ; Microwave technology ; Engineering ; Electronic circuits ; Microwaves ; Optical engineering
Size	1 electronic resource (402 pages)
Publisher	Springer Nature
Publishing place	Cham
Document type	Book ; Online
Note	English ; Open Access
HBZ-ID	HT021030647
ISBN	978-3-030-21293-3 ; 3-030-21293-9
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Establishing finite element model credibility of a pedicle screw system under compression-bending: An end-to-end example of the ASME V&V 40 standard.

Nagaraja, Srinidhi / Loughran, Galyna / Baumann, Andrew P / Kartikeya, Kumar / Horner, Marc

Methods (San Diego, Calif.)

2024 Volume 225, Page(s) 74–88

Abstract: Computational modeling and simulation (CM&S) is a key tool in medical device design, development, and regulatory approval. For example, finite element analysis (FEA) is widely used to understand the mechanical integrity and durability of orthopaedic ... ...

Abstract	Computational modeling and simulation (CM&S) is a key tool in medical device design, development, and regulatory approval. For example, finite element analysis (FEA) is widely used to understand the mechanical integrity and durability of orthopaedic implants. The ASME V&V 40 standard and supporting FDA guidance provide a framework for establishing model credibility, enabling deeper reliance on CM&S throughout the total product lifecycle. Examples of how to apply the principles outlined in the ASME V&V 40 standard are important to facilitating greater adoption by the medical device community, but few published examples are available that demonstrate best practices. Therefore, this paper outlines an end-to-end (E2E) example of the ASME V&V 40 standard applied to an orthopaedic implant. The objective of this study was to illustrate how to establish the credibility of a computational model intended for use as part of regulatory evaluation. In particular, this study focused on whether a design change to a spinal pedicle screw construct (specifically, the addition of a cannulation to an existing non-cannulated pedicle screw) would compromise the rod-screw construct mechanical performance. This question of interest (?OI) was addressed by establishing model credibility requirements according to the ASME V&V 40 standard. Experimental testing to support model validation was performed using spinal rods and non-cannulated pedicle screw constructs made with medical grade titanium (Ti-6Al-4V ELI). FEA replicating the experimental tests was performed by three independent modelers and validated through comparisons of common mechanical properties such as stiffness and yield force. The validated model was then used to simulate F1717 compression-bending testing on the new cannulated pedicle screw design to answer the ?OI, without performing any additional experimental testing. This E2E example provides a realistic scenario for the application of the ASME V&V 40 standard to orthopedic medical device applications.
MeSH term(s)	Finite Element Analysis ; Pedicle Screws/standards ; Humans ; Computer Simulation ; Materials Testing/methods ; Materials Testing/standards ; Titanium/chemistry ; Compressive Strength
Chemical Substances	Titanium (D1JT611TNE)
Language	English
Publishing date	2024-03-16
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1066584-5
ISSN	1095-9130 ; 1046-2023
ISSN (online)	1095-9130
ISSN	1046-2023
DOI	10.1016/j.ymeth.2024.03.003
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 3239: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article ; Online: Modeling RF-Induced Power Deposition and Temperature Rise of Coaxial Leads with Helical Wires.

Kozlov, Mikhail / Horner, Marc / Kainz, Wolfgang

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

2019 Volume 2019, Page(s) 1895–1898

Abstract: The lead electromagnetic model (LEM) and the radiofrequency responses, i.e., the net dissipated electrode power and net temperature increase, above background, at the electrodes, were modelled for two coax-type insulated leads with inner and outer ... ...

Abstract	The lead electromagnetic model (LEM) and the radiofrequency responses, i.e., the net dissipated electrode power and net temperature increase, above background, at the electrodes, were modelled for two coax-type insulated leads with inner and outer helical wires with a pitch of 0.35 mm. The quotient of the variances of the fitted LEM values and observed values (R
MeSH term(s)	Electrodes ; Hot Temperature ; Humans ; Magnetic Resonance Imaging ; Models, Theoretical ; Radio Waves
Language	English
Publishing date	2019-12-30
Publishing country	United States
Document type	Journal Article
ISSN	2694-0604
ISSN (online)	2694-0604
DOI	10.1109/EMBC.2019.8856572
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Modeling radiofrequency responses of realistic multi-electrode leads containing helical and straight wires.

Kozlov, Mikhail / Horner, Marc / Kainz, Wolfgang

Magma (New York, N.Y.)

2019 Volume 33, Issue 3, Page(s) 421–437

Abstract: Purpose: To present a modeling workflow for the evaluation of a lead electromagnetic model (LEM) consisting of a transfer function (TF) and a calibration factor. The LEM represents an analytical relationship between the RF response of a lead and the ... ...

Abstract	Purpose: To present a modeling workflow for the evaluation of a lead electromagnetic model (LEM) consisting of a transfer function (TF) and a calibration factor. The LEM represents an analytical relationship between the RF response of a lead and the incident electromagnetic field. The study also highlights the importance of including key geometric details of the lead and the electrode when modeling multi-electrode leads. Methods: The electrical and thermal responses of multi-electrode leads with helical and straight wires were investigated using 3D electromagnetic (EM) and thermal co-simulations. The net dissipated power (P) around each lead electrode and the net temperature increase at the electrodes (ΔT) were obtained for a set of incident EM fields with different spatial distributions. A reciprocity approach was used to determine a TF for each electrode based on the results of the computational model. The evaluation of the calibration factors and the TF validation were performed using the linear regression of P versus the LEM predictions. Results: P and ΔT were investigated for four multi-electrode leads and four single-electrode leads containing either helical or straight wires. All electrodes of the multi-electrode lead were found to be points of high power deposition and temperature rise. The LEMs for the individual electrodes varied substantially. A significant dependence of the calibration factors on the surrounding tissue medium was also found. Finally, the model showed that the TF, the calibration factor, P and ΔT for multi-electrode leads differ significantly from those for single-electrode leads. Conclusion: These results highlight the need to evaluate a LEM for each electrode of a multi-electrode lead as well as for each possible surrounding medium. It is also shown that the results derived from simulations based on simplified single-electrode leads can significantly mislead multi-electrode lead analyses.
MeSH term(s)	Algorithms ; Animals ; Calibration ; Computer Simulation ; Electrodes ; Electrodes, Implanted ; Electromagnetic Fields ; Hot Temperature ; Humans ; Magnetic Resonance Imaging/methods ; Pattern Recognition, Automated ; Radio Waves ; Temperature
Language	English
Publishing date	2019-11-19
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1160826-2
ISSN	1352-8661 ; 0968-5243
ISSN (online)	1352-8661
ISSN	0968-5243
DOI	10.1007/s10334-019-00793-9
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 3788: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article: In silico trials: Verification, validation and uncertainty quantification of predictive models used in the regulatory evaluation of biomedical products

Viceconti, Marco / Bischoff, Jeff / Horner, Marc / Musuamba Tshinanu, Flora / Pappalardo, Francesco / Rodriguez, Blanca

Methods. 2020 Jan. 14,

2020

Abstract: Historically, the evidences of safety and efficacy that companies provide to regulatory agencies as support to the request for marketing authorization of a new medical product have been produced experimentally, either in vitro or in vivo. More recently, ... ...

Abstract	Historically, the evidences of safety and efficacy that companies provide to regulatory agencies as support to the request for marketing authorization of a new medical product have been produced experimentally, either in vitro or in vivo. More recently, regulatory agencies started receiving and accepting evidences obtained in silico, i.e. through modelling and simulation. However, before any method (experimental or computational) can be acceptable for regulatory submission, the method itself must be considered “qualified” by the regulatory agency. This involves the assessment of the overall “credibility” that such a method has in providing specific evidence for a given regulatory procedure. In this paper, we describe a methodological framework for the credibility assessment of computational models built using mechanistic knowledge of physical and chemical phenomena, in addition to available biological and physiological knowledge; these are sometimes referred to as “biophysical” models. Using guiding examples, we explore the definition of the context of use, the risk analysis for the definition of the acceptability thresholds, and the various steps of a comprehensive verification, validation and uncertainty quantification process, to conclude with considerations on the credibility of a prediction for a specific context of use. While this paper does not provide a guideline for the formal qualification process, which only the regulatory agencies can provide, we expect it to help researchers to better appreciate the extent of scrutiny required, which should be considered early on in the development/use of any (new) in silico evidence.
Keywords	bioinformatics ; business enterprises ; guidelines ; marketing ; models ; prediction ; risk analysis ; uncertainty
Language	English
Dates of publication	2020-0114
Publishing place	Elsevier Inc.
Document type	Article
Note	Pre-press version
ZDB-ID	1066584-5
ISSN	1095-9130 ; 1046-2023
ISSN (online)	1095-9130
ISSN	1046-2023
DOI	10.1016/j.ymeth.2020.01.011
Database	NAL-Catalogue (AGRICOLA)

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 3239: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article ; Online: In Silico Fit Evaluation of Additively Manufactured Face Coverings.

Carr, Ian A / D'Souza, Gavin / Xu, Ming / Ozarkar, Shailesh / Porter, Daniel / Horner, Marc / Hariharan, Prasanna

Annals of biomedical engineering

2022

Abstract: In response to the respiratory protection device shortage during the COVID-19 pandemic, the additive manufacturing (AM) community designed and disseminated numerous AM face masks. Questions regarding the effectiveness of AM masks arose because these ... ...

Abstract	In response to the respiratory protection device shortage during the COVID-19 pandemic, the additive manufacturing (AM) community designed and disseminated numerous AM face masks. Questions regarding the effectiveness of AM masks arose because these masks were often designed with limited (if any) functional performance evaluation. In this study, we present a fit evaluation methodology in which AM face masks are virtually donned on a standard digital headform using finite element-based numerical simulations. We then extract contour plots to visualize the contact patches and gaps and quantify the leakage surface area for each mask frame. We also use the methodology to evaluate the effects of adding a foam gasket and variable face mask sizing, and finally propose a series of best practices. Herein, the methodology is focused only on characterizing the fit of AM mask frames and does not considering filter material or overall performance. We found that AM face masks may provide a sufficiently good fit if the sizing is appropriate and if a sealing gasket material is present to fill the gaps between the mask and face. Without these precautions, the rigid nature of AM materials combined with the wide variation in facial morphology likely results in large gaps and insufficient adaptability to varying user conditions which may render the AM face masks ineffective.
Language	English
Publishing date	2022-07-28
Publishing country	United States
Document type	Journal Article
ZDB-ID	185984-5
ISSN	1573-9686 ; 0191-5649 ; 0090-6964
ISSN (online)	1573-9686
ISSN	0191-5649 ; 0090-6964
DOI	10.1007/s10439-022-03026-8
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 1018: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article ; Online: An in silico testbed for fast and accurate MR labeling of orthopedic implants.

Noetscher, Gregory M / Serano, Peter J / Horner, Marc / Prokop, Alexander / Hanson, Jonathan / Fujimoto, Kyoko / Brown, James / Nazarian, Ara / Ackerman, Jerome / Makaroff, Sergey N

eLife

2023 Volume 12

Abstract: One limitation on the ability to monitor health in older adults using magnetic resonance (MR) imaging is the presence of implants, where the prevalence of implantable devices (orthopedic, cardiac, neuromodulation) increases in the population, as does the ...

Abstract	One limitation on the ability to monitor health in older adults using magnetic resonance (MR) imaging is the presence of implants, where the prevalence of implantable devices (orthopedic, cardiac, neuromodulation) increases in the population, as does the pervasiveness of conditions requiring MRI studies for diagnosis (musculoskeletal diseases, infections, or cancer). The present study describes a novel multiphysics implant modeling testbed using the following approaches with two examples: (1) an in silico human model based on the widely available Visible Human Project (VHP) cryo-section dataset; (2) a finite element method (FEM) modeling software workbench from Ansys (Electronics Desktop/Mechanical) to model MR radio frequency (RF) coils and the temperature rise modeling in heterogeneous media. The in silico VHP-Female model (250 parts with an additional 40 components specifically characterizing embedded implants and resultant surrounding tissues) corresponds to a 60-year-old female with a body mass index of 36. The testbed includes the FEM-compatible in silico human model, an implant embedding procedure, a generic parameterizable MRI RF birdcage two-port coil model, a workflow for computing heat sources on the implant surface and in adjacent tissues, and a thermal FEM solver directly linked to the MR coil simulator to determine implant heating based on an MR imaging study protocol. The primary target is MR labeling of large orthopedic implants. The testbed has very recently been approved by the US Food and Drug Administration (FDA) as a medical device development tool for 1.5 T orthopedic implant examinations.
MeSH term(s)	Female ; Humans ; Aged ; Middle Aged ; Prostheses and Implants ; Computer Simulation ; Temperature ; Hot Temperature ; Magnetic Resonance Imaging/methods
Language	English
Publishing date	2023-12-14
Publishing country	England
Document type	Case Reports ; Journal Article
ZDB-ID	2687154-3
ISSN	2050-084X ; 2050-084X
ISSN (online)	2050-084X
ISSN	2050-084X
DOI	10.7554/eLife.90440
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article: An In-Silico Testbed for Fast and Accurate MR Labeling of Orthopaedic Implants.

Noetscher, Gregory M / Serano, Peter J / Horner, Marc / Prokop, Alexander / Hanson, Jonathan / Fujimoto, Kyoko / Brown, James E / Nazarian, Ara / Ackerman, Jerome / Makaroff, Sergey N

bioRxiv : the preprint server for biology

2023

Abstract: One limitation on the ability to monitor health in older adults using Magnetic Resonance (MR) imaging is the presence of implants, where the prevalence of implantable devices (orthopedic, cardiac, neuromodulation) increases in the population, as does the ...

Abstract	One limitation on the ability to monitor health in older adults using Magnetic Resonance (MR) imaging is the presence of implants, where the prevalence of implantable devices (orthopedic, cardiac, neuromodulation) increases in the population, as does the pervasiveness of conditions requiring MRI studies for diagnosis (musculoskeletal diseases, infections, or cancer). The present study describes a novel multiphysics implant modeling testbed using the following approaches with two examples: - an
Language	English
Publishing date	2023-10-02
Publishing country	United States
Document type	Preprint
DOI	10.1101/2023.07.16.549234
Database	MEDical Literature Analysis and Retrieval System OnLINE

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾

Article ; Online: In silico trials: Verification, validation and uncertainty quantification of predictive models used in the regulatory evaluation of biomedical products.

Viceconti, Marco / Pappalardo, Francesco / Rodriguez, Blanca / Horner, Marc / Bischoff, Jeff / Musuamba Tshinanu, Flora

Methods (San Diego, Calif.)

2020 Volume 185, Page(s) 120–127

Abstract	Historically, the evidences of safety and efficacy that companies provide to regulatory agencies as support to the request for marketing authorization of a new medical product have been produced experimentally, either in vitro or in vivo. More recently, regulatory agencies started receiving and accepting evidences obtained in silico, i.e. through modelling and simulation. However, before any method (experimental or computational) can be acceptable for regulatory submission, the method itself must be considered "qualified" by the regulatory agency. This involves the assessment of the overall "credibility" that such a method has in providing specific evidence for a given regulatory procedure. In this paper, we describe a methodological framework for the credibility assessment of computational models built using mechanistic knowledge of physical and chemical phenomena, in addition to available biological and physiological knowledge; these are sometimes referred to as "biophysical" models. Using guiding examples, we explore the definition of the context of use, the risk analysis for the definition of the acceptability thresholds, and the various steps of a comprehensive verification, validation and uncertainty quantification process, to conclude with considerations on the credibility of a prediction for a specific context of use. While this paper does not provide a guideline for the formal qualification process, which only the regulatory agencies can provide, we expect it to help researchers to better appreciate the extent of scrutiny required, which should be considered early on in the development/use of any (new) in silico evidence.
MeSH term(s)	Computer Simulation ; Machine Learning ; Models, Theoretical ; Uncertainty
Language	English
Publishing date	2020-01-25
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1066584-5
ISSN	1095-9130 ; 1046-2023
ISSN (online)	1095-9130
ISSN	1046-2023
DOI	10.1016/j.ymeth.2020.01.011
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 3239: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

To top

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito