CORDIS

EU research results

CORDIS

High Performance Soft-tissue Navigation

Fact Sheet

Reporting

Results

Project information

HiPerNav

Grant agreement ID: 722068

Project website

Status

Ongoing project

Start date

1 November 2016
End date

31 October 2020

Funded under:

H2020-EU.1.3.1.

Overall budget:

€ 4 041 920,04
EU contribution

€ 4 041 920,04

Coordinated by:

OSLO UNIVERSITETSSYKEHUS HF

Norway

Objective

Primary liver cancer, which consists predominantly of hepatocellular carcinoma (HCC), is the fifth most common cancer worldwide and the third most common cause of cancer mortality. A successful surgical resection of HCC requires complete removal of the tumour while sparing as much healthy tissue as possible. Due to technical and clinical difficulties relatively low percentage of patients are eligible for resection. There is an urgent need to increase the patient eligibility and improve the survival prognosis after liver interventions. HiPerNav will train early stage researchers (biomedical engineers and medical doctors) to become international leading in key areas of expertise through a novel coordinated plan of individual research projects addressing specific bottlenecks in soft tissue navigation for improved treatment of liver cancer. The multi-disciplinary dialogue and work between clinicians and biomedical engineers is crucial to address these bottlenecks. By providing researchers with knowledge and training within specific topics from minimally invasive treatment, biomedical engineering, research methodologies, innovation and entrepreneurship, the link between academic research and industry will be strengthened. This allows for easy transfer of promising results from the research projects to commercially exploitable solutions. The global image guided surgery devices market is promising; it was valued at USD 2.76 billion in 2013 and is projected to expand 6.4% from 2014 to 2022 to reach USD 4.80 billion in 2022. The market for soft-tissue navigation is still in its infancy, mainly due to challenges in achieved accuracy for targeting deformable and moving organs. By providing multi-disciplinary training, the researchers in this consortium of international leading research institutions, universities and industry will initiate true translational research from academic theoretical ideas to the clinical testing of prototype, developed solutions and tools.

Field of Science

/medical and health sciences/medical biotechnology

/medical and health sciences/clinical medicine/oncology/cancer

/medical and health sciences/clinical medicine/surgery

/social sciences/sociology/demography/mortality

/medical and health sciences/clinical medicine/oncology/cancer/liver cancer

/social sciences/economics and business/business and management/commerce

/social sciences/economics and business/business and management/entrepreneurship

Programme(s)

H2020-EU.1.3.1. - Fostering new skills by means of excellent initial training of researchers

Topic(s)

MSCA-ITN-2016 - Innovative Training Networks

Call for proposal

H2020-MSCA-ITN-2016

See other projects for this call

Funding Scheme

MSCA-ITN-ETN - European Training Networks

Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

OSLO UNIVERSITETSSYKEHUS HF

Address

Kirkeveien 166 Tarnbygget
0450 Oslo

Norway

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 755 448,55

Website

Contact the organisation

Participants (9)

Sort alphabetically

Sort by EU Contribution

Expand all

UNIVERSIDAD DE CORDOBA

Spain

EU Contribution

€ 495 745,92

NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU

Norway

EU Contribution

€ 572 550,48

UNIVERSITE PARIS 13

France

EU Contribution

€ 262 875,60

CASCINATION AG

Switzerland

EU Contribution

€ 265 226,76

UNIVERSITAET BERN

Switzerland

EU Contribution

€ 530 453,52

INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE

France

EU Contribution

€ 525 751,20

STIFTELSEN SINTEF

Norway

EU Contribution

€ 111 329,26

TECHNISCHE UNIVERSITEIT DELFT

Netherlands

EU Contribution

€ 347 592,77

SINTEF AS

Norway

EU Contribution

€ 174 945,98

Partners (4)

Sort alphabetically

Expand all

SIEMENS HEALTHCARE GMBH

Germany

NVIDIA Corporation

United States

Innovasjon Norge

Norway

YES!Delft

Netherlands

Project information

HiPerNav

Grant agreement ID: 722068

Project website

Status

Ongoing project

Start date

1 November 2016
End date

31 October 2020

Funded under:

H2020-EU.1.3.1.

Overall budget:

€ 4 041 920,04
EU contribution

€ 4 041 920,04

Coordinated by:

OSLO UNIVERSITETSSYKEHUS HF

Norway

Project information

HiPerNav

Grant agreement ID: 722068

Project website

Status

Ongoing project

Start date

1 November 2016
End date

31 October 2020

Funded under:

H2020-EU.1.3.1.

Overall budget:

€ 4 041 920,04
EU contribution

€ 4 041 920,04

Coordinated by:

OSLO UNIVERSITETSSYKEHUS HF

Norway

Periodic Reporting for period 1 - HiPerNav (High Performance Soft-tissue Navigation)

Reporting period: 2016-11-01 to 2018-10-31

Summary of the context and overall objectives of the project

Primary liver cancer, which consists predominantly of hepatocellular carcinoma (HCC), is the fifth most common cancer worldwide and the third most common cause of cancer mortality. The liver is also a frequent target of metastases from other cancer origins, like colorectal, with an estimated 100,000 liver metastases in Europe. Liver resection is the treatment of choice in selected patients with hepatic colorectal metastases, even in recurrent cases, with 5-year survival rates of up to 58%. A successful surgical resection of HCC requires complete removal of the tumour including a safety margin while sparing as much healthy tissue as possible. However, due to technical and clinical difficulties currently only a low percentage of patients are eligible for resection, and the recurrence rate is considerable. In conclusion, there is an urgent need to increase the patient eligibility and improve the survival prognosis after liver interventions (resection or ablation).

Objectives: The overall goal of HiPerNav is to successfully train and educate young researchers (ESRs) in the multidisciplinary field of image-guided interventions. The scientific and clinical goal is to further develop solutions for computer assisted and image guided surgical and interventional procedures for the treatment of primary and secondary liver cancer. It is aimed at improving eligibility and survival prognosis of cancer patients.

The project is organized through a consortium comprising 5 European universities, 2 university hospitals, 2 research organizations and 5 industrial companies, whereas one SME. Oslo University Hospital is the coordinator. In total 16 young researchers (ESRs) will be financed through the project.

The HiPerNav project aims to improve important bottlenecks in soft-tissue navigation:
– effective pre-operative model and planning
– accurate and fast intra-operative model update
– accurate and fast model-to-patient registration
– intuitive user-interaction and effective workflow
– high performance computing by use of GPU

The 14 organizations in the consortium are particularly selected being one of the leading institutions within their field of expertise, and they are all selected to fill specific competences needed to meet the HiPerNav overall goal. The consortium partner organizations are: Oslo University Hospital, University Hospital Bern, NTNU, SINTEF, INRIA, University of Bern, University Paris13, University of Delft, University of Cordoba, CAScination, SIEMENS, NVIDIA, Yes!Delft and Innovation Norway.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

Among the 15 ESRs that have started their PhD work in the first period, one third were female.

Andrea Teatini (ESR 1, OUS) is working on model-to-patient registration, with the following PhD title: “Accurate and effective model-to-patient registration for navigation in image guided laparoscopic liver resection”.

Pravda Jith Ray Prasad (ESR 2, OUS) is developing segmentation algorithms for pre-operative and intra-operative liver data from multi-modality images, with a PhD title: “Towards automatic segmentation of liver and lesions using Deep Learning techniques”.

Egidijus Pelanis (ESR 3, OUS) is exploring and evaluating ways of presenting patient-specific liver anatomy with a PhD title: “Clinical assessment and validation of a navigation system during laparoscopic liver interventions”.

Nitin Satpute (ESR 4, UCO) is developing parallel seeded region growing (SRG) algorithms for real time 3D liver and vessel segmentation with a PhD title: “High Performance Seeded Region Growing 3D Liver Segmentation”.

Orestis Zachariadis (ESR 5, UCO) is working on developing new registration algorithms with GPU optimization techniques and developing techniques that will allow fast organ reconstruction and update during intervention surgeries. His PhD title is: “Heterogeneous parallel computing for image registration”.

Rabia Naseem (ESR6, NTNU) is working on denoising and contrast enhancement of liver images for pre-operative and intra-operative surgical planning in her PhD thesis, which has the following title “Cross modality guided image enhancement”.

Shanmugapriya Survarachakan (ESR 7, NTNU) is working on segmentation of liver tumour and hepatic vessels from multi modal 3D data on her PhD thesis entitled “Fast and automatic extraction of liver, vessels and tumor from both pre-operative CT/MR and intra- operative ultrasound in laparoscopic surgery”.

Zohaib Amjad Khan (ESR 8, UP13) is working on the quality assessment part of the image guided surgery workflow for liver cancer resection and ablation surgery. His thesis is titled “Multimodal medical image quality assessment”.

Raluca-Maria Sandu (ESR 9, UNIBE) is working on improving the planning and evaluation of image-guided ablation treatments for liver tumors. The PhD thesis is titled: “Quantitative assessment of ablation treatments for liver tumors – image based efficacy analysis and predictive modelling”.

Benjamin Peter Eigl (ESR 10, CASC) is establishing a computer assisted workflow for minimally-invasive surgery with a focus on pancreatic cancer treatment, with the following PhD title: “Stereotactic, minimally-invasive ablation treatment of pancreatic cancer”.

Ankit Gupta (ESR 11, UNIBE) is working on landmark tracking and registration with the following PhD Title: “Video based instrument tracking and registration in laparoscopic abdominal surgery”.

Jean-Nicolas Brunet (ESR 12, INRIA) is working on the characterization of boundary conditions for biomechanical modelling of the liver with his Ph.D. thesis titled: “new numerical methods for real-time simulation of soft-tissue deformations in surgery assistance”.

Sergei Nikolaev (ESR 13, INRIA) is working on estimation of boundary conditions for liver to improve the predictive capacity of the model. The title of his PhD thesis is: “Identification and characterisation of boundary conditions for patient-specific biomechanical simulation”.

Javier Pérez de Frutos (ESR 14, SINTEF) core research topic is image registration and data fusion for navigation in minimally invasive surgery, being the title of the thesis: “Registration for Improved Preoperative Planning and Intraoperative Navigation in Laparoscopic Surgery”.

Maryam Gholinejad (ESR 15, TUD) is working on optimizing the workflow and user interaction of minimally invasive liver treatments using new planning and navigation platforms. The title of her PhD thesis is: “User interaction and workflow analysis in

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

Current solutions for surgical navigation have not been adapted to soft-tissue navigation due to challenges related to organ motion and deformation during the procedure. The HiPerNav project aims to improve several of the bottlenecks existing in current solutions available on the market. This will be done through integrated cross-disciplinary research and development in the following areas:

• Creating effective pre-operative model(s) and planning
• Faster and more accurate intra-operative model updates in combination with prediction of deformation using bio-mechanical models
• Faster and more accurate model-to-patient registration from intra-operative 3D stereoscopic video and ultrasound
• More intuitive user-interaction and effective workflow through detailed procedure analysis
• In general, the use of HPC (e.g. GPU) for smoother, more seamless and better user experience will be explored in all steps of the navigation workflow

HiPerNav logo

The CAS-One Navigation system from CAScination in a laparoscopic liver resection at The Intervention

Project information

HiPerNav

Grant agreement ID: 722068

Project website

Status

Ongoing project

Start date

1 November 2016
End date

31 October 2020

Funded under:

H2020-EU.1.3.1.

Overall budget:

€ 4 041 920,04
EU contribution

€ 4 041 920,04

Coordinated by:

OSLO UNIVERSITETSSYKEHUS HF

Project information

HiPerNav

Grant agreement ID: 722068

Project website

Status

Ongoing project

Start date

1 November 2016
End date

31 October 2020

Funded under:

H2020-EU.1.3.1.

Overall budget:

€ 4 041 920,04
EU contribution

€ 4 041 920,04

Coordinated by:

OSLO UNIVERSITETSSYKEHUS HF

Norway

Deliverables

Other (2)

Project work plan

Three HiPerNav Schools

Three HiPerNav Schools (M12, M24, M36)

Websites, patent fillings, videos etc. (1)

Documents, reports (2)

Communication report

Communication report (M12, M24, M36, M48)

Dissemination report

Dissemination report (M12, M24, M36, M48)

Publications

Conference proceedings (10)

Joint statistical models for no reference stereoscopic image quality assessment

Author(s): Z. A. Khan, M. Kaaniche, A. Beghdadi and F. A. Cheikh

Published in: European Visual and Information Processing (EUVIP), 2018

First experiences with an augmented reality navigation system for laparoscopic liver surgery

Author(s): Paolucci Iwan, Eigl Benjamin, Prevost Gian Andrea, Lachenmayer Anja, Peterhans Matthias, Candinas Daniel, Weber Stefan, Beldi Guido

Published in: SWISS KNIFE Special Edition 2018 (Abstracts of the Swiss Surgical Congress), Issue May 2018, 2018, Page(s) 60

Percutaneous transgastric access for irreversible electroporation of pancreatictumors using stereotactic image-guidance – an animal case

Author(s): Iwan Paolucci, Benjamin Eigl, Alain Garcia, Edgardo Serra, Stefan Weber, Mariano Gimenez

Published in: Proceedings of SMIT2018-IBEC2018 Joint Conference, 2018, Page(s) 442-443

Video Based Instrument Pose Tracking in Navigated Laparoscopic Surgery

Author(s): Gupta Ankit, Paolucci Iwan, Sznitman Raphael, Weber Stefan, Candinas Daniel

Published in: International Hepato-Pancreato-Biliary Association World Congress 2018, 2018

Evaluation of a 3D planning tool for irreversible electroporation treatment in pancreatic cancer

Author(s): Benjamin Eigl, Matthias Peterhans, Stefan Weber, Daniel Candinas, Beat Gloor, Mathias Worni

Published in: 29TH Conference of the international Society for Medical Innovation and Technology, 2018

Intraoperative ultrasound-based navigation for laparoscopic ablation of liver tumors.

Author(s): Paolucci, Iwan; Schwalbe, Marius; Prevost, Gian Andrea; Lachenmayer, Anja; Candinas, Daniel; Weber, Stefan; Tinguely, Pascale Marie Pia

Published in: British Journal of Surgery, Abstracts of the 105th Annual Congress of the Swiss Society of Surgery, held in Basel, Issue May 2018, 2018, Page(s) 21

3D planning of irreversible electroporation treatment in pancreatic carcinoma: a use case

Author(s): Benjamin Eigl, Matthias Peterhans, Stefan Weber, Daniel Candinas, Beat Gloor, Mathias Worni

Published in: International Hepato-Pancreato-Biliary Association World Congress 2018, 2018

First experience with computer-assisted laparoscopic needle guidance for pancreatic tumour ablation in a pig.

Author(s): Benjamin Eigl, Iwan Paolucci, Tobias Rudolph, Alain Garcia, Edgardo Serra, Mariano Gimenez

Published in: 17 . Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V., 2018, Page(s) 148-151

Computer-assisted laparoscopic needle guidance for pancreatic tumour ablation.

Author(s): Benjamin Eigl, Iwan Paolucci, Alain Garcia, Edgardo Serra, Mariano Gimenez

Published in: SMIT2018-IBEC2018 Joint Conference, 2018

An augmented reality navigation system for lapa-roscopic liver surgery – first experiences

Author(s): Paolucci Iwan, Eigl Benjamin, Prevost Gian Andrea, Lachenmayer Anja, Peterhans Matthias, Candinas Daniel, Weber Stefan, Beldi Guido

Published in: International Hepato-Pancreato-Biliary Association World Congress 2018, 2018

Book chapters (1)

Irreversible electroporation in pancreatic cancer

Author(s): Melanie Holzgang, Benjamin Eigl, Suna Erdem, Beat Gloor, Mathias Worni

Published in: Advances in Pancreatic Cancer, 2018

DOI: 10.5772/intechopen.75737

Peer reviewed articles (5)

Laparoscopic parenchyma-sparing liver resection for colorectal metastases

Author(s): Davit L. Aghayan, Egidijus Pelanis, Åsmund Avdem Fretland, Airazat M. Kazaryan, Mushegh A. Sahakyan, Bård I. Røsok, Leonid Barkhatov, Bjørn Atle Bjørnbeth, Ole Jakob Elle, Bjørn Edwin

Published in: Radiology and Oncology, Issue 52/1, 2017, Page(s) 36-41, ISSN 1581-3207

DOI: 10.1515/raon-2017-0046

Multi-Operational Selective Computer-Assisted Targeting of hepatocellular carcinoma—Evaluation of a novel approach for navigated tumor ablation

Author(s): Pascale Tinguely, Marius Schwalbe, Torsten Fuss, Dominik P. Guensch, Andreas Kohler, Iris Baumgartner, Stefan Weber, Daniel Candinas

Published in: PLOS ONE, Issue 13/5, 2018, Page(s) e0197914, ISSN 1932-6203

DOI: 10.1371/journal.pone.0197914

Laboratory test of Single Landmark registration method for ultrasound-based navigation in laparoscopy using an open-source platform

Author(s): Javier Pérez de Frutos, Erlend F. Hofstad, Ole Vegard Solberg, Geir Arne Tangen, Frank Lindseth, Thomas Langø, Ole Jakob Elle, Ronald Mårvik

Published in: International Journal of Computer Assisted Radiology and Surgery, Issue 13/12, 2018, Page(s) 1927-1936, ISSN 1861-6410

DOI: 10.1007/s11548-018-1830-7

Design and implementation of an electromagnetic ultrasound-based navigation technique for laparoscopic ablation of liver tumors

Author(s): Iwan Paolucci, Marius Schwalbe, Gian Andrea Prevost, Anja Lachenmayer, Daniel Candinas, Stefan Weber, Pascale Tinguely

Published in: Surgical Endoscopy, Issue 32/7, 2018, Page(s) 3410-3419, ISSN 0930-2794

DOI: 10.1007/s00464-018-6088-1

EMBC 2018

Author(s): Teatini, A., Pérez de Frutos, J., Langø, T., Edwin, B., & Elle, O. J.

Published in: IEEE Pulse, Issue 8/4, 2017, Page(s) C3-C3, ISSN 2154-2287

DOI: 10.1109/MPUL.2017.2712960

Project information

HiPerNav

Grant agreement ID: 722068

Project website

Status

Ongoing project

Start date

1 November 2016
End date

31 October 2020

Funded under:

H2020-EU.1.3.1.

Overall budget:

€ 4 041 920,04
EU contribution

€ 4 041 920,04

Coordinated by:

OSLO UNIVERSITETSSYKEHUS HF

Project information

HiPerNav

Grant agreement ID: 722068

Project website

Status

Ongoing project

Start date

1 November 2016
End date

31 October 2020

Funded under:

H2020-EU.1.3.1.

Overall budget:

€ 4 041 920,04
EU contribution

€ 4 041 920,04

Coordinated by:

OSLO UNIVERSITETSSYKEHUS HF

Norway

Project information

HiPerNav

Grant agreement ID: 722068

Project website

Status

Ongoing project

Start date

1 November 2016
End date

31 October 2020

Funded under:

H2020-EU.1.3.1.

Overall budget:

€ 4 041 920,04
EU contribution

€ 4 041 920,04

Coordinated by:

OSLO UNIVERSITETSSYKEHUS HF

Download

PDF

XML

Last update: 17 August 2017

Record number: 205392

CORDIS

Project information

Objective

Coordinator

Participants (9)

Partners (4)

Project information

Project information

Periodic Reporting for period 1 - HiPerNav (High Performance Soft-tissue Navigation)

Project information

Project information

Deliverables

Publications

Project information

Project information

Project information

Share this page

Download