Innovative Training Network towards raising and supporting the next generation of creative and entrepreneurial cross-speciality imaging experts

Informazioni relative al progetto

HYBRID

ID dell’accordo di sovvenzione: 764458

DOI

10.3030/764458

Progetto chiuso

Data della firma CE 17 Agosto 2017

Data di avvio 1 Ottobre 2017

Data di completamento 30 Novembre 2021

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 3 858 940,08

Contributo UE

€ 3 858 940,08

Coordinato da

EBERHARD KARLS UNIVERSITAET TUEBINGEN
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Other (12)

WP4 ESRs preparation for theses defence
Public engagement activities
TW3
Overall recruitment
Training: Business skills
Innovation Incubator
Training: Project management
ESRs preparation for theses defence
TW1
TW2
Final meeting/Innovation Fair

Final meetingInnovation Fair

Publications on HYBRID website

Documents, reports (11)

Digital and physical phantoms for MPI and corresponding QC procedures
Providing multi-parametric tumour ID card reflecting tumour heterogeneity
Preliminary assessment of therapy response using single- and hybrid imaging

Preliminary assessment of therapy response using single and hybrid imaging

Prototype SW for voxel-based 99mTc-MAA SPECT/CT dose prediction and 90Y-PET/MR dose verification

Prototype SW for voxelbased 99mTcMAA SPECTCT dose prediction and 90YPETMR dose verification

Tumour probability and responsiveness maps are available
Assessment of the prognostic value of the tumour ID card in NSCLC and glioma patients
Multi-parametric partial volume corrections tested in up to 10 cases

Multiparametric partial volume corrections tested in up to 10 cases

List of supervision peers
Fully-automatic reconstruction of dynamic TOF-PET using PET/MRI & PET/CT derived priors

Fullyautomatic reconstruction of dynamic TOFPET using PETMRI PETCT derived priors

Automated delineation of blood pool structures to extract image derived input functions tested and validated
Multi-parametric, predictive model for therapy response in gliomas

Multiparametric predictive model for therapy response in gliomas

Websites, patent fillings, videos etc. (1)

HYBRID website

Pubblicazioni

Peer reviewed articles (24)

Automated and robust organ segmentation for 3D-based internal dose calculation

Autori: Mahmood Nazari, Luis David Jiménez-Franco, Michael Schroeder, Andreas Kluge, Marcus Bronzel, Sharok Kimiaei
Pubblicato in: EJNMMI Research, Numero 11/1, 2021, ISSN 2191-219X
Editore: Springer Berlin
DOI: 10.1186/s13550-021-00796-5

The added value of PSMA PET/MR radiomics for prostate cancer staging

Autori: Esteban Lucas Solari, Andrei Gafita, Sylvia Schachoff, Borjana Bogdanović, Alberto Villagrán Asiares, Thomas Amiel, Wang Hui, Isabel Rauscher, Dimitris Visvikis, Tobias Maurer, Kristina Schwamborn, Mona Mustafa, Wolfgang Weber, Nassir Navab, Matthias Eiber, Mathieu Hatt, Stephan G. Nekolla
Pubblicato in: European Journal of Nuclear Medicine and Molecular Imaging, 2021, ISSN 1619-7070
Editore: Springer Verlag
DOI: 10.1007/s00259-021-05430-z

A dual-time-window protocol to reduce acquisition time of dynamic tau PET imaging using [18F]MK-6240

Autori: Guilherme D. Kolinger, David Vállez García, Talakad G. Lohith, Eric D. Hostetler, Cyrille Sur, Arie Struyk, Ronald Boellaard, Michel Koole
Pubblicato in: EJNMMI Research, Numero 11/1, 2021, ISSN 2191-219X
Editore: Springer Berlin
DOI: 10.1186/s13550-021-00790-x

Explainable AI to improve acceptance of convolutional neural networks for automatic classification of dopamine transporter SPECT in the diagnosis of clinically uncertain parkinsonian syndromes

Autori: Mahmood Nazari, Andreas Kluge, Ivayla Apostolova, Susanne Klutmann, Sharok Kimiaei, Michael Schroeder, Ralph Buchert
Pubblicato in: European Journal of Nuclear Medicine and Molecular Imaging, 2021, ISSN 1619-7070
Editore: Springer Verlag
DOI: 10.1007/s00259-021-05569-9

3D ultrasound guided navigation system with hybrid image fusion

Autori: David Iommi, Alejandra Valladares, Michael Figl Marko Grahovac, Gabor Fichtinger, and Johann Hummel
Pubblicato in: Scientific Reports, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-86848-1

Amyloid burden quantification depends on PET and MR image processing methodology

Autori: Guilherme D. Kolinger, David Vállez García, Antoon T. M. Willemsen, Fransje E. Reesink, Bauke M. de Jong, Rudi A. J. O. Dierckx, Peter P. De Deyn, Ronald Boellaard
Pubblicato in: PLOS ONE, Numero 16/3, 2021, Pagina/e e0248122, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0248122

Standard MRI-based attenuation correction for PET/MRI phantoms: a novel concept using MRI-visible polymer

Autori: Ivo Rausch, Alejandra Valladares, Lalith Kumar Shiyam Sundar, Thomas Beyer, Marcus Hacker, Martin Meyerspeer, Ewald Unger
Pubblicato in: EJNMMI Physics, Numero 8/1, 2021, ISSN 2197-7364
Editore: Springer
DOI: 10.1186/s40658-021-00364-9

Gating failure can result in underestimation of cardiac function in myocardial perfusion scintigraphy

Autori: Alberto Villagran Asiares, Igor Yakushev, Stephan G. Nekolla
Pubblicato in: Journal of Nuclear Cardiology, 2020, ISSN 1071-3581
Editore: Mosby Inc.
DOI: 10.1007/s12350-020-02430-8

Toward PET/MRI as one-stop shop for radiotherapy planning in cervical cancer patients

Autori: Sahar Ahangari, Naja Liv Hansen, Anders Beck Olin, Trine Jakobi Nøttrup, Heidi Ryssel, Anne Kiil Berthelsen, Johan Löfgren, Annika Loft, Ivan Richter Vogelius, Tine Schnack, Bjoern Jakoby, Andreas Kjaer, Flemming Littrup Andersen, Barbara Malene Fischer, Adam Espe Hansen
Pubblicato in: Acta Oncologica, Numero 60/8, 2021, Pagina/e 1045-1053, ISSN 0284-186X
Editore: Taylor & Francis
DOI: 10.1080/0284186x.2021.1936164

Data-driven identification of diagnostically useful extrastriatal signal in dopamine transporter SPECT using explainable AI

Autori: Mahmood Nazari, Andreas Kluge, Ivayla Apostolova, Susanne Klutmann, Sharok Kimiaei, Michael Schroeder & Ralph Buchert
Pubblicato in: Scientific Reports, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-02385-x

Whole-body uptake classification and prostate cancer staging in 68Ga-PSMA-11 PET/CT using dual-tracer learning

Autori: Nicolò Capobianco, Ludovic Sibille, Maythinee Chantadisai, Andrei Gafita, Thomas Langbein, Guenther Platsch, Esteban Lucas Solari, Vijay Shah, Bruce Spottiswoode, Matthias Eiber, Wolfgang A. Weber, Nassir Navab, Stephan G. Nekolla
Pubblicato in: European Journal of Nuclear Medicine and Molecular Imaging, Numero Epub ahead of print, 2021, Pagina/e Epub ahead of print, ISSN 1619-7070
Editore: Springer Verlag
DOI: 10.1007/s00259-021-05473-2

Use of dynamic reconstruction for parametric Patlak imaging in dynamic whole body PET

Autori: Zacharias Chalampalakis, Simon Stute, Marina Filipović, Florent Sureau, Claude Comtat
Pubblicato in: Physics in Medicine & Biology, Numero 66/18, 2021, Pagina/e 185017, ISSN 0031-9155
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6560/ac2128

Conditional Generative Adversarial Networks (cGANs) aided motion correction of dynamic 18 F-FDG PET brain studies

Autori: Lalith Kumar Shiyam Sundar, David Iommi, Otto Muzik, Zacharias Chalampalakis, Eva-Maria Klebermass, Marius Hienert, Lucas Rischka, Rupert Lanzenberger, Andreas Hahn, Ekaterina Pataraia, Tatjana Traub-Weidinger, Thomas Beyer
Pubblicato in: Journal of Nuclear Medicine, 2020, Pagina/e jnumed.120.248856, ISSN 0161-5505
Editore: Kexue Chubaneshe/Science Press
DOI: 10.2967/jnumed.120.248856

An [18F]FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients

Autori: David Wallis, Michaël Soussan, Maxime Lacroix, Pia Akl, Clément Duboucher & Irène Buvat
Pubblicato in: European Journal of Nuclear Medicine and Molecular Imaging, 2021, ISSN 1619-7070
Editore: Springer Verlag
DOI: 10.1007/s00259-021-05513-x

Imaging of cardiac fibroblast activation in a patient after acute myocardial infarction using 68Ga-FAPI-04

Autori: Susan Notohamiprodjo, Stephan G. Nekolla, Stephanie Robu, Alberto Villagran Asiares, Christian Kupatt, Tareq Ibrahim, Karl-Ludwig Laugwitz, Marcus R. Makowski, Markus Schwaiger, Wolfgang A. Weber, Zohreh Varasteh
Pubblicato in: Journal of Nuclear Cardiology, 2021, ISSN 1071-3581
Editore: Mosby Inc.
DOI: 10.1007/s12350-021-02603-z

Repeatability of [18F]FDG PET/CT total metabolic active tumour volume and total tumour burden in NSCLC patients

Autori: Guilherme D. Kolinger, David Vállez García, Gerbrand M. Kramer, Virginie Frings, Egbert F. Smit, Adrianus J. de Langen, Rudi A. J. O. Dierckx, Otto S. Hoekstra, Ronald Boellaard
Pubblicato in: EJNMMI Research, Numero 9/1, 2019, ISSN 2191-219X
Editore: Springer Berlin
DOI: 10.1186/s13550-019-0481-1

Clinically Valuable Quality Control for PET/MRI Systems: Consensus Recommendation From the HYBRID Consortium

Autori: Alejandra Valladares, Sahar Ahangari, Thomas Beyer, Ronald Boellaard, Zacharias Chalampalakis, Claude Comtat, Laura DalToso, Adam E. Hansen, Michel Koole, Jane Mackewn, Paul Marsden, Johan Nuyts, Francesco Padormo, Ronald Peeters, Sebastian Poth, Esteban Solari, Ivo Rausch
Pubblicato in: Frontiers in Physics, Numero 7, 2019, ISSN 2296-424X
Editore: Frontiers
DOI: 10.3389/fphy.2019.00136

Physical imaging phantoms for simulation of tumor heterogeneity in PET, CT, and MRI: An overview of existing designs

Autori: Alejandra Valladares, Thomas Beyer, Ivo Rausch
Pubblicato in: Medical Physics, Numero 47/4, 2020, Pagina/e 2023-2037, ISSN 0094-2405
Editore: American Association of Physicists in Medicine
DOI: 10.1002/mp.14045

Deep learning FDG uptake classification enables total metabolic tumor volume estimation in diffuse large B-cell lymphoma

Autori: Nicolò Capobianco, Michel A. Meignan, Anne-Segolene Cottereau, Laetitia Vercellino, Ludovic Sibille, Bruce Spottiswoode, Sven Zuehlsdorff, Olivier Casasnovas, Catherine Thieblemont, Irene Buvat
Pubblicato in: Journal of Nuclear Medicine, 2020, Pagina/e jnumed.120.242412, ISSN 0161-5505
Editore: Kexue Chubaneshe/Science Press
DOI: 10.2967/jnumed.120.242412

Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT

Autori: Xikai Tang, Esmaeel Jafargholi Rangraz, Walter Coudyzer, Jeroen Bertels, David Robben, Georg Schramm, Wies Deckers, Geert Maleux, Kristof Baete, Chris Verslype, Mark J. Gooding, Christophe M. Deroose, Johan Nuyts
Pubblicato in: European Journal of Nuclear Medicine and Molecular Imaging, 2020, ISSN 1619-7070
Editore: Springer Verlag
DOI: 10.1007/s00259-020-04800-3

Evaluation of 3D ultrasound for image guidance

Autori: David Iommi, Johann Hummel, Michael Lutz Figl
Pubblicato in: PLOS ONE, Numero 15/3, 2020, Pagina/e e0229441, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0229441

Effects of tracer uptake time in non-small cell lung cancer 18F-FDG PET radiomics

Autori: Guilherme Domingues Kolinger, David Vállez García, Gerbrand Maria Kramer, Virginie Frings, Gerben Johannes Cornelis Zwezerijnen, Egbert F. Smit, Adrianus Johannes De Langen, Irène Buvat and Ronald Boellaard
Pubblicato in: Journal of Nuclear Medicine, 2021, ISSN 2159-662X
Editore: Society of Nuclear Medicine
DOI: 10.2967/jnumed.121.262660

Risk stratification in diffuse large B-cell lymphoma using lesion dissemination and metabolic tumor burden calculated from baseline PET/CT

Autori: Anne Ségolène Cottereau, Michel Meignan, Christophe Nioche, Nicolò Capobianco, érôme Clerc, Loïc Chartier, Laetitia Vercellino, Olivier Casasnovas, Catherine Thieblemont, Irène Buvat
Pubblicato in: Annals of Oncology, 2021, ISSN 0020-0255
Editore: Elsevier BV
DOI: 10.1016/j.annonc.2020.11.019

Quantitative comparison of pre-treatment predictive and post-treatment measured dosimetry for selective internal radiation therapy using cone-beam CT for tumor and liver perfusion territory definition

Autori: Esmaeel Jafargholi Rangraz, Xikai Tang, Charlotte Van Laeken, Geert Maleux, Jeroen Dekervel, Eric Van Cutsem, Chris Verslype, Kristof Baete, Johan Nuyts, Christophe M. Deroose
Pubblicato in: EJNMMI Research, Numero 10/1, 2020, ISSN 2191-219X
Editore: Springer Berlin
DOI: 10.1186/s13550-020-00675-5