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5. Improving GI Toxicity Models Through Deep Learning-Based Segmentation and Biomechanical Model-Based Dose Accumulation

Author

McCulloch, M.M., primary, Cazoulat, G., additional, Anderson, B.M., additional, Kirimli, E., additional, Rigaud, B., additional, Gryshkevych, S., additional, Svensson, S., additional, Ohrt, A.N., additional, Ohrt, J., additional, Chopra, N., additional, Mathew, R., additional, Zaid, M., additional, Elganainy, D., additional, Balter, P., additional, Koay, E.J., additional, and Brock, K.K., additional

Published
2021
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8. Optimization of Normal Liver Radiation Avoidance to Promote Liver Preservation

Author

McCulloch, M.M., primary, Cazoulat, G., additional, Anderson, B.M., additional, Rigaud, B., additional, Svensson, S., additional, Gryshkevych, S., additional, Ohrt, A.N., additional, Ohrt, J., additional, Kirimli, E., additional, Zaid, M., additional, Elganainy, D., additional, Balter, P., additional, Koay, E.J., additional, and Brock, K.K., additional

Published
2020
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13. EHEALTH EUROCAMPUS PROJECT: PREPARING INNOVATIVE ICT PROFESSIONALS

Author

Castell, N., Lobo, J., Calderon, E. Insa, Picking, R., González, Y., Abdelaziz, S., Voegel, B., Tous, X., Pattichis, Constantinos S., Rigaud, B., and Pattichis, Constantinos S. [0000-0003-1271-8151]

Subjects
ComputingMilieux_COMPUTERSANDEDUCATION
Abstract

The eHealth Eurocampus (ehealtheurocampus.eu) is an EU-funded Erasmus+ Strategic Partnership (2016-2019). It aims at preparing professionals able to cope with the challenge of “fostering a spirit of innovation in eHealth in Europe as the way forward to ensure better health and better and safer care for EU citizens, a more skilled workforce, more efficient and sustainable health and care systems, new business opportunities” (EC eHealth Action Plan 2012-2020). This project has a truly European perspective, developing teaching materials in collaboration between universities and testing them on a highly diverse set of students. Partners: 8 higher education institutions, which represent 7 technical schools (Barcelona School of Informatics/ Polytechnic School, Mallorca/ Polytech Engineer School, Montpellier/ ISIS Engineering School, Castres/ Glyndwr University, Wales/ Hochschule Ulm/ Computer Science Department, Cyprus University) and 3 medical schools (Faculty of Nursing and Physiotherapy, Mallorca/ Medical School of Cyprus/ Sant Joan de Déu University School of Nursing, Barcelona), a regional centre of technological development and entrepreneurship promotion (Bit Foundation, Mallorca), and a European Grouping of Territorial Cooperation (EGTC Pyrenees-Mediterranean). The consortium represents different health management systems. This variety will help to form adaptable and international professionals, aware of the European diversity in this area. Main objectives: • Improving the RELEVANCE of higher education in the field of information and communication technologies (ICT) applications for health (eHealth) • Enhancing the QUALITY of eHealth higher education through mobility and transnational cooperation • Fostering EMPLOYABILITY through curricula adaptation to labour market needs • Providing skills of [eHealth] ENTREPRENEURSHIP for students. Included actions: • The development of materials for 5 eHealth subjects: Innovation and Entrepreneurship (finished), IT for a Longer Independent Life (quite finished), Applications and Tools (quite finished), Robotics for Healthcare (on-going), and Graphics and Medical Imaging (on-going). • Summer Schools: Entrepreneurship (Castres, 2017), Longer Independent Life (Wrexham, 2018), Robotics and Imaging (Barcelona, 2019). Participants are students from the partner institutions, mixing engineers with health students. Summer Schools are used as a testbed of materials and innovative teaching methodologies. • Training Seminars: eHealth Teaching Challenges (Montpellier, 2017), Accessibility, Inclusion, Rehabilitation (Palma, 2018). For teachers and researchers from the consortium, exchanging best practices and knowledge. • Final conference: a public general presentation of the project results (Barcelona, 2018) • Digital platform to facilitate the distribution of the project outputs. The eHealth Eurocampus is a project in which, for the first time, the use of ICT in healthcare is dealt from very different perspectives and disciplines: education, entrepreneurship, assistive healthcare medicine, medical robotics, medical imaging, privacy and data security, ethics... One of its main goals is to create an original eHealth teaching-learning space where university professors, students, researchers, and clinicians will be able to share their experiences and knowledge with the aim of improving the skills and employability of graduates. The experience until now is very valuable and successful. 5560 5564

Published
2019

15. Planning Library Based on Population Shape Analysis for Cervical Adaptive Radiotherapy

Author

Rigaud, B., Simon, A., Gobeli, M., Leseur, J., Williaume, D., Castelli, J., Lafond, C., Acosta, Oscar, Haigron, P., de Crevoisier, R., Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), CRLCC Eugène Marquis (CRLCC), and Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
[SDV.IB]Life Sciences [q-bio]/Bioengineering, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2018
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21. CBCT guided adaptive radiotherapy for cervix cancer Uncertainty of the choice of the plan of the day

Author

Gobeli, M., Rigaud, B., Charra-Brunaud, C., Renard, S., De Rauglaudre, G., Beneyton, V., Racadot, S., Peignaux, K., Leseur, J., Williaume, D., Rannou, N., Simon, A., Lafond, C., Jaksic, N., Gnep, K., Herve, C., Riet, F., Pougnet, I., De Crevoisier, R., CRLCC Eugène Marquis (CRLCC), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Léon Bérard [Lyon], Centre Eugène Marquis (CRLCC), and Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
[SDV.IB]Life Sciences [q-bio]/Bioengineering, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2018
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22. Adaptive radiotherapy in head and neck cancer to correct tumor underdose and parotid gland overdose

Author

Castelli, J., Simon, A., Rigaud, B., Chajon, E., Benezery, K., Vauleon, E., Jegoux, F., Henry, O., Lafond, C., De Crevoisier, R., Centre Eugène Marquis (CRLCC), Laboratoire Traitement du Signal et de l'Image (LTSI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Centre de Lutte contre le Cancer Antoine Lacassagne [Nice] (UNICANCER/CAL), UNICANCER-Université Côte d'Azur (UCA), CHU Pontchaillou [Rennes], and Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
[SDV.IB]Life Sciences [q-bio]/Bioengineering, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2018
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23. Adaptive radiotherapy for head and neck cancer

Author

Castelli, J., primary, Simon, A., additional, Lafond, C., additional, Perichon, N., additional, Rigaud, B., additional, Chajon, E., additional, De Bari, B., additional, Ozsahin, M., additional, Bourhis, J., additional, and de Crevoisier, R., additional

Published
2018
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27. PO-1078: CBCT guided adaptive radiotherapy for cervix cancer: Uncertainty of the choice of the plan of the day

Author

Gobeli, M., primary, Rigaud, B., additional, Charra-Brunaud, C., additional, Renard, S., additional, De Rauglaudre, G., additional, Beneyton, V., additional, Racadot, S., additional, Peignaux, K., additional, Leseur, J., additional, Williaume, D., additional, Rannou, N., additional, Simon, A., additional, Lafond, C., additional, Jaksic, N., additional, Gnep, K., additional, Herve, C., additional, Riet, F., additional, Pougnet, I., additional, and De Crevoisier, R., additional

Published
2018
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28. Solution of Poisson’s equation in a volume conductor using resistor mesh models: Application to event related potential imaging.

Author

Franceries, X., Doyon, B., Chauveau, N., Rigaud, B., Celsis, P., and Morucci, J-P.

Subjects
ELECTROENCEPHALOGRAPHY, NEUROLOGY
Abstract

In electroencephalography (EEG) and event related potentials (ERP), localizing the electrical sources at the origin of scalp potentials (inverse problem) imposes, in a first step, the computation of scalp potential distribution from the simulation of sources (forward problem). This article proposes an alternative method for mimicing both the electrical and geometrical properties of the head, including brain, skull, and scalp tissue with resistors. Two resistor mesh models have been designed to reproduce the three-sphere reference model (analytical model). The first one (spherical resistor mesh) closely mimics the geometrical and electrical properties of the analytical model. The second one (cubic resistor mesh) is designed to conveniently handle anatomical data from magnetic resonance imaging. Both models have been validated, in reference to the analytical solution calculated on the three-sphere model, by computing the magnification factor and the relative difference measure. Results suggest that the mesh models can be used as robust and user-friendly simulation or exploration tools in EEG/ERP. [ABSTRACT FROM AUTHOR]

Published
2003
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43. Forward and Inverse Methods in Event Related Potential Imaging Using a Resistor Mesh Model

Author

PURPLE HOSPITAL TOULOUSE (FRANCE) NEUROLOGY DEPT, Franceries, X., Doyon, B., Chauveau, N., Rigaud, B., Morucci, J. P., PURPLE HOSPITAL TOULOUSE (FRANCE) NEUROLOGY DEPT, Franceries, X., Doyon, B., Chauveau, N., Rigaud, B., and Morucci, J. P.

Abstract

A spherical head model based on a resistor mesh is presented. Each resistor corresponds to the conducting electrical properties of a tissue volume. A current dipole is simulated by an electrical current source connected between two nodes in this mesh. The direct problem is solved and the accuracy of this model is evaluated in comparison with the analytical solution. The results show that the resistor mesh provides correct potential and scalp current density values. The model structure makes it easy to introduce conductivity heterogeneities such as stroke and skull anisotropy. First trials of an inverse method are also presented., Papers from 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, October 25-28, 2001, held in Istanbul, Turkey. See also ADM001351 for entire conference on cd-rom.

Published
2001

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