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EDEN2020 SIGNED

Enhanced Delivery Ecosystem for Neurosurgery in 2020

Total Cost €

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EC-Contrib. €

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Partnership

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 EDEN2020 project word cloud

Explore the words cloud of the EDEN2020 project. It provides you a very rough idea of what is the project "EDEN2020" about.

deforming    overcome    sense    sensors    outputs    technologies    stand    predicting    players    structures    tolerance    clinical    barriers    chronic    delicate    extended    track    entire    surgical    enhanced    precision    fault    technological    position    invasive    quality    kept    translation    diffusion    fidelity    industrial    aspires    initial    rates    suite    patients    intraoperative    cancer    family    flexible    plan    business    therapies    amongst    gold    life    periods    robotics    deploy    practices    consolidate    proficiency    treatment    perceive    diagnosis    diagnostic    engineer    anatomy    therapy    tissue    minimally    aging    catheters    stop    unparalleled    drug    enforce    clear    brain    cooperation    commensurate    situ    update    accuracy    record    revolutionise    surgeon    planning    strategy    steerable    eden2020    standard    robotically    due    2020    unmatched    maximise    neurosurgery    spiralling    disease    population    optical    autonomy    unprecedented   

Project "EDEN2020" data sheet

The following table provides information about the project.

Coordinator
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE 

Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ
website: http://www.imperial.ac.uk/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website http://www.eden2020.eu
 Total cost 8˙361˙446 €
 EC max contribution 8˙361˙446 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2015
 Funding Scheme RIA
 Starting year 2016
 Duration (year-month-day) from 2016-04-01   to  2020-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) coordinator 2˙657˙852.00
2    RENISHAW PLC UK (WOTTON UNDER EDGE) participant 1˙434˙375.00
3    UNIVERSITA DEGLI STUDI DI MILANO IT (MILANO) participant 989˙443.00
4    TECHNISCHE UNIVERSITAET MUENCHEN DE (MUENCHEN) participant 894˙275.00
5    ACADEMISCH ZIEKENHUIS GRONINGEN NL (GRONINGEN) participant 712˙460.00
6    POLITECNICO DI MILANO IT (MILANO) participant 702˙626.00
7    UNIVERSITA VITA-SALUTE SAN RAFFAELE IT (MILANO) participant 521˙250.00
8    XOGRAPH TECHNOLOGIES LIMITED UK (STONEHOUSE) participant 449˙163.00

Map

 Project objective

Due to an aging population and the spiralling cost of brain disease in Europe and beyond, EDEN2020 aims to develop the gold standard for one-stop diagnosis and minimally invasive treatment in neurosurgery. Supported by a clear business case, it will exploit the unique track record of leading research institutions and key industrial players in the field of surgical robotics to overcome the current technological barriers that stand in the way of real clinical impact. EDEN2020 will provide a step change in the modelling, planning and delivery of diagnostic sensors and therapies to the brain via flexible surgical access, with an initial focus on cancer therapy. It will engineer a family of steerable catheters for chronic disease management that can be robotically deployed and kept in situ for extended periods. The system will feature enhanced autonomy, surgeon cooperation, targeting proficiency and fault tolerance with a suite of technologies that are commensurate to the unique challenges of neurosurgery. Amongst these, the system will be able to sense and perceive intraoperative, continuously deforming, brain anatomy at unmatched accuracy, precision and update rates, and deploy a range of diagnostic optical sensors with the potential to revolutionise today’s approach to brain disease management. By modelling and predicting drug diffusion within the brain with unprecedented fidelity, EDEN2020 will contribute to the wider clinical challenge of extending and enhancing the quality of life of cancer patients – with the ability to plan therapies around delicate tissue structures and with unparalleled delivery accuracy. EDEN2020 is strengthened by a significant industrial presence, which is embedded within the entire R&D process to enforce best practices and maximise translation and the exploitation of project outputs. As it aspires to impact the state of the art and consolidate the position of European industrial robotics, it will directly support the Europe 2020 Strategy.

 Deliverables

List of deliverables.
Report following Kick-Off Meeting Documents, reports 2020-02-25 17:08:31
Human Brain Imaging Database Other 2020-02-25 17:08:31

Take a look to the deliverables list in detail:  detailed list of EDEN2020 deliverables.

 Publications

year authors and title journal last update
List of publications.
2017 Alberto Favaro, Akash Lad, Davide Formenti, Davide Danilo Zani, Elena De Momi
Straight trajectory planning for keyhole neurosurgery in sheep with automatic brain structures segmentation
published pages: 101352E, ISSN: , DOI: 10.1117/12.2254515
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling 2020-02-25
2018 Eloise Matheson, Riccardo Secoli, Christopher Burrows, Alexander Leibinger, Ferdinando Rodriguez Y Baena
Cyclic Motion Control for Programmable Bevel-Tip Needles to Reduce Tissue Deformation
published pages: , ISSN: 2424-905X, DOI: 10.1142/S2424905X18420011
Journal of Medical Robotics Research 2020-02-25
2017 Rüdiger Göbl, Salvatore Virga, Julia Rackerseder, Benjamin Frisch, Nassir Navab, Christoph Hennersperger
Acoustic window planning for ultrasound acquisition
published pages: 993-1001, ISSN: 1861-6410, DOI: 10.1007/s11548-017-1551-3
International Journal of Computer Assisted Radiology and Surgery 12/6 2020-02-25
2017 Marco Riva, Christoph Hennersperger, Fausto Milletari, Amin Katouzian, Federico Pessina, Benjamin Gutierrez-Becker, Antonella Castellano, Nassir Navab, Lorenzo Bello
3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation
published pages: 1711-1725, ISSN: 1861-6410, DOI: 10.1007/s11548-017-1578-5
International Journal of Computer Assisted Radiology and Surgery 12/10 2020-02-25
2018 V. Virdyawan, M. Oldfield and F. Rodriguez Y Baena
Laser Doppler Based Sensing for Blood Vessel Detection with a Steerable Needle
published pages: , ISSN: , DOI:
2020-02-25
2017 Zhengchu Tan, Cristian Parisi, Lucy Di Silvio, Daniele Dini, Antonio Elia Forte
Cryogenic 3D Printing of Super Soft Hydrogels
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-017-16668-9
Scientific Reports 7/1 2020-02-25
2018 Zhengchu Tan, Daniele Dini, Ferdinando Rodriguez y Baena, Antonio Elia Forte
Composite hydrogel: A high fidelity soft tissue mimic for surgery
published pages: 886-894, ISSN: 0264-1275, DOI: 10.1016/j.matdes.2018.10.018
Materials & Design 160 2020-02-25
2019 Marco Vidotto, Elena De Momi, Michele Gazzara, Leonardo S. Mattos, Giancarlo Ferrigno, Sara Moccia
FCNN-based axon segmentation for convection-enhanced delivery optimization
published pages: 493-499, ISSN: 1861-6410, DOI: 10.1007/s11548-018-01911-z
International Journal of Computer Assisted Radiology and Surgery 14/3 2020-02-25
2018 Marco Vidotto, Daniele Dini, Elena De Momi
Effective Diffusion and Tortuosity in Brain White Matter
published pages: 4901-4904, ISSN: 9781-5386, DOI: 10.1109/embc.2018.8513443
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2020-02-25
2018 Alberto Favaro , Valentina Pieri , Alice Segato , Andrea Falini , Elena De Momi & Antonella Castellano
Steerable needle DBS path planning safeguards deep nuclei and white matter tracts
published pages: , ISSN: , DOI:
CRAS2018 (Joint Workshop on New Technologies forComputer/RobotAssisted Surgery) 2020-02-25
2018 Alberto Favaroa , Leonardo Cerria , Stefano Galvanb , Ferdinando Rodriguez y Baenab and Elena De Momia
Automatic optimized 3D path planner for steerable catheters with heuristic search and uncertainty tolerance
published pages: , ISSN: , DOI:
International Conference on Robotics and Automation (ICRA) 2020-02-25

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