Go-Smart: Web-based computational modeling of minimally invasive cancer treatments

Phil Weir; Dominic Reuter; Roland Ellerweg; Tuomas Alhonnoro; Mika Pollari; Philip Voglreiter; Panchatcharam Mariappan; Ronan Flanagan; Chang Sub Park; Stephen Payne; Elmar Staerk; Peter Voigt; Michael Moche; Marina Kolesnik

doi:10.1109/EHB.2015.7391385

Go-Smart: Web-based computational modeling of minimally invasive cancer treatments

Phil Weir, Dominic Reuter, Roland Ellerweg, Tuomas Alhonnoro, Mika Pollari, Philip Voglreiter, Panchatcharam Mariappan, Ronan Flanagan, Chang Sub Park, Stephen Payne, Elmar Staerk, Peter Voigt, Michael Moche, Marina Kolesnik

Neurotieteen ja lääketieteellisen tekniikan laitos

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

1 Sitaatiot (Scopus)

Abstrakti

The web-based Go-Smart environment is a scalable system that allows the prediction of minimally invasive cancer treatment. Interventional radiologists create a patient-specific 3D model by semi-automatic segmentation and registration of pre-interventional CT (Computed Tomography) and/or MRI (Magnetic Resonance Imaging) images in a 2D/3D browser environment. This model is used to compare patient-specific treatment plans and device performance via built-in simulation tools. Go-Smart includes evaluation techniques for comparing simulated treatment with real ablation lesions segmented from follow-up scans. The framework is highly extensible, allowing manufacturers and researchers to incorporate new ablation devices, mathematical models and physical parameters.

Alkuperäiskieli	Englanti
Otsikko	2015 E-Health and Bioengineering Conference, EHB 2015
Kustantaja	IEEE
Sivumäärä	4
ISBN (elektroninen)	9781467375450
DOI - pysyväislinkit	https://doi.org/10.1109/EHB.2015.7391385
Tila	Julkaistu - 25 tammik. 2016
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE International Conference on E-Health and Bioengineering - Iasi, Romania Kesto: 19 marrask. 2015 → 21 marrask. 2015 Konferenssinumero: 5

Conference

Conference	IEEE International Conference on E-Health and Bioengineering
Lyhennettä	EHB
Maa/Alue	Romania
Kaupunki	Iasi
Ajanjakso	19/11/2015 → 21/11/2015

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10.1109/EHB.2015.7391385

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Weir, P., Reuter, D., Ellerweg, R., Alhonnoro, T., Pollari, M., Voglreiter, P., Mariappan, P., Flanagan, R., Park, C. S., Payne, S., Staerk, E., Voigt, P., Moche, M., & Kolesnik, M. (2016). Go-Smart: Web-based computational modeling of minimally invasive cancer treatments. teoksessa 2015 E-Health and Bioengineering Conference, EHB 2015 Artikkeli 7391385 IEEE. https://doi.org/10.1109/EHB.2015.7391385

@inproceedings{f28ac3f524294caa8103a4878bce1f1e,

title = "Go-Smart: Web-based computational modeling of minimally invasive cancer treatments",

abstract = "The web-based Go-Smart environment is a scalable system that allows the prediction of minimally invasive cancer treatment. Interventional radiologists create a patient-specific 3D model by semi-automatic segmentation and registration of pre-interventional CT (Computed Tomography) and/or MRI (Magnetic Resonance Imaging) images in a 2D/3D browser environment. This model is used to compare patient-specific treatment plans and device performance via built-in simulation tools. Go-Smart includes evaluation techniques for comparing simulated treatment with real ablation lesions segmented from follow-up scans. The framework is highly extensible, allowing manufacturers and researchers to incorporate new ablation devices, mathematical models and physical parameters.",

keywords = "cancer, image processing, internet, simulation",

author = "Phil Weir and Dominic Reuter and Roland Ellerweg and Tuomas Alhonnoro and Mika Pollari and Philip Voglreiter and Panchatcharam Mariappan and Ronan Flanagan and Park, {Chang Sub} and Stephen Payne and Elmar Staerk and Peter Voigt and Michael Moche and Marina Kolesnik",

year = "2016",

month = jan,

day = "25",

doi = "10.1109/EHB.2015.7391385",

language = "English",

booktitle = "2015 E-Health and Bioengineering Conference, EHB 2015",

publisher = "IEEE",

address = "United States",

note = "IEEE International Conference on E-Health and Bioengineering, EHB ; Conference date: 19-11-2015 Through 21-11-2015",

}

Weir, P, Reuter, D, Ellerweg, R, Alhonnoro, T, Pollari, M, Voglreiter, P, Mariappan, P, Flanagan, R, Park, CS, Payne, S, Staerk, E, Voigt, P, Moche, M & Kolesnik, M 2016, Go-Smart: Web-based computational modeling of minimally invasive cancer treatments. julkaisussa 2015 E-Health and Bioengineering Conference, EHB 2015., 7391385, IEEE, IEEE International Conference on E-Health and Bioengineering, Iasi, Romania, 19/11/2015. https://doi.org/10.1109/EHB.2015.7391385

TY - GEN

T1 - Go-Smart

T2 - IEEE International Conference on E-Health and Bioengineering

AU - Weir, Phil

AU - Reuter, Dominic

AU - Ellerweg, Roland

AU - Alhonnoro, Tuomas

AU - Pollari, Mika

AU - Voglreiter, Philip

AU - Mariappan, Panchatcharam

AU - Flanagan, Ronan

AU - Park, Chang Sub

AU - Payne, Stephen

AU - Staerk, Elmar

AU - Voigt, Peter

AU - Moche, Michael

AU - Kolesnik, Marina

N1 - Conference code: 5

PY - 2016/1/25

Y1 - 2016/1/25

N2 - The web-based Go-Smart environment is a scalable system that allows the prediction of minimally invasive cancer treatment. Interventional radiologists create a patient-specific 3D model by semi-automatic segmentation and registration of pre-interventional CT (Computed Tomography) and/or MRI (Magnetic Resonance Imaging) images in a 2D/3D browser environment. This model is used to compare patient-specific treatment plans and device performance via built-in simulation tools. Go-Smart includes evaluation techniques for comparing simulated treatment with real ablation lesions segmented from follow-up scans. The framework is highly extensible, allowing manufacturers and researchers to incorporate new ablation devices, mathematical models and physical parameters.

AB - The web-based Go-Smart environment is a scalable system that allows the prediction of minimally invasive cancer treatment. Interventional radiologists create a patient-specific 3D model by semi-automatic segmentation and registration of pre-interventional CT (Computed Tomography) and/or MRI (Magnetic Resonance Imaging) images in a 2D/3D browser environment. This model is used to compare patient-specific treatment plans and device performance via built-in simulation tools. Go-Smart includes evaluation techniques for comparing simulated treatment with real ablation lesions segmented from follow-up scans. The framework is highly extensible, allowing manufacturers and researchers to incorporate new ablation devices, mathematical models and physical parameters.

KW - cancer

KW - image processing

KW - internet

KW - simulation

UR - http://www.scopus.com/inward/record.url?scp=84978152354&partnerID=8YFLogxK

U2 - 10.1109/EHB.2015.7391385

DO - 10.1109/EHB.2015.7391385

M3 - Conference article in proceedings

AN - SCOPUS:84978152354

BT - 2015 E-Health and Bioengineering Conference, EHB 2015

PB - IEEE

Y2 - 19 November 2015 through 21 November 2015

ER -

Go-Smart: Web-based computational modeling of minimally invasive cancer treatments

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Conference

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