NDLI: Employing in-vivo molecular imaging in simulating and validating tumor growth

Content Provider	IEEE Xplore Digital Library
Author	Tzamali, E. Favicchio, R. Roniotis, A. Tzedakis, G. Grekas, G. Ripoll, J. Marias, K. Zacharakis, G. Sakkalis, V.
Copyright Year	2013
Description	Author affiliation: In stitute for Electron. Struct. & Laser, Found. for Res. & Technol. - Hellas, Heraklion, Greece (Favicchio, R.; Ripoll, J.; Zacharakis, G.) \|\| Inst. of Comput. Sci., Found. for Res. & Technol. - Hellas, Heraklion, Greece (Tzamali, E.; Roniotis, A.; Tzedakis, G.; Grekas, G.; Marias, K.; Sakkalis, V.)
Abstract	During the last decades, especially via the EU initiative related to the Virtual Physiological Human, significant progress has been made in advancing “in-silico” computational models to produce accurate and reliable tumor growth simulations. However, currently most attempts to validate the outcome of the models are either done in-vitro or ex-vivo after tumor resection. In this work, we incorporate information provided by fluorescence molecular tomography performed in-vivo into a mathematical model that describes tumor growth. The outcome is validated against tumor evolution snapshots captured in-vivo using advanced molecular probes in laboratory animals. The simulations are inline with the actual in-vivo growth and although alternative modeling parameters can lead to similar results challenging for additional microscopic information and imaging modalities to drive the in-silico models, they all show that hypoxia plays a dominant role in the evolution of the tumor under study.
Starting Page	5533
Ending Page	5536
File Size	760540
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6610803
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tumors Fluorescence Cancer Mathematical model Tomography Biological system modeling
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Mimicking biophysical stimuli within bone tumor microenvironment

Biologically-motivated system identification: Application to microbial growth modeling

Development of a diffusion-based mathematical model for predicting chemotherapy effects

A simulation-based study of reconstruction in Time-resolved Fluorescence Diffuse Optical Tomography in Cylindrical geometry

Multimodal optical imaging for simultaneous in-vivo morphological and biochemical characterization of oral epithelial cancer

TumorML: Concept and requirements of an in silico cancer modelling markup language

An architecture for integrating cancer model repositories

In-vivo Lung Cancer Imaging in Mice using 360° Free-space Fluorescence Molecular Tomography

Simulating cell apoptosis induced sinus node dysfunction

Employing in-vivo molecular imaging in simulating and validating tumor growth

Similar Documents

Mimicking biophysical stimuli within bone tumor microenvironment

Biologically-motivated system identification: Application to microbial growth modeling

Development of a diffusion-based mathematical model for predicting chemotherapy effects

A simulation-based study of reconstruction in Time-resolved Fluorescence Diffuse Optical Tomography in Cylindrical geometry

Multimodal optical imaging for simultaneous in-vivo morphological and biochemical characterization of oral epithelial cancer

TumorML: Concept and requirements of an in silico cancer modelling markup language

An architecture for integrating cancer model repositories

In-vivo Lung Cancer Imaging in Mice using 360° Free-space Fluorescence Molecular Tomography

Simulating cell apoptosis induced sinus node dysfunction

Employing in-vivo molecular imaging in simulating and validating tumor growth