From Dose Reduction to Contrast Maximization

Autor: Alexandre Bône, Samy Ammari, Yves Menu, Corinne Balleyguier, Eric Moulton, Émilie Chouzenoux, Andreas Volk, Gabriel C.T.E. Garcia, François Nicolas, Philippe Robert, Marc-Michel Rohé, Nathalie Lassau

Publikováno v: Investigative Radiology. 57:527-535

The aim of this study was to evaluate a deep learning method designed to increase the contrast-to-noise ratio in contrast-enhanced gradient echo T1-weighted brain magnetic resonance imaging (MRI) acquisitions. The processed images are quantitatively

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee8f76aaee5d864d7dc142e9f61edaf4
https://doi.org/10.1097/rli.0000000000000867

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Autor: Frederick Cervenansky, Gerard Sanroma, Jay Patravali, Sandy Engelhardt, Pheng-Ann Heng, Georgios Tziritas, Clement Zotti, Elias Grinias, Paul F. Jäger, Mahendra Khened, Klaus H. Maier-Hein, Ganapathy Krishnamurthi, Karim Lekadir, Yoonmi Hong, Xin Yang, Steffen E. Petersen, Ivo Wolf, Christian F. Baumgartner, Xavier Pennec, Olivier Bernard, Sandy Napel, Jelmer M. Wolterink, Miguel Ángel González Ballester, Marc-Michel Rohé, Peter M. Full, Ivana Išgum, Lisa M. Koch, Fabian Isensee, Varghese Alex Kollerathu, Alain Lalande, Olivier Humbert, Yeonggul Jang, Maxime Sermesant, Irem Cetin, Oscar Camara, Shubham Jain, Pierre-Marc Jodoin

Publikováno v: IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2018, 37 (11), pp.2514-2525. ⟨10.1109/TMI.2018.2837502⟩
IEEE Transactions on Medical Imaging, 2018, 37 (11), pp.2514-2525. ⟨10.1109/TMI.2018.2837502⟩

Delineation of the left ventricular cavity, myocardium, and right ventricle from cardiac magnetic resonance images (multi-slice 2-D cine MRI) is a common clinical task to establish diagnosis. The automation of the corresponding tasks has thus been th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2afb7f28c95674486f633dfdf4e01cb
https://pubmed.ncbi.nlm.nih.gov/29994302

Statistical shape modeling of the left ventricle: myocardial infarct classification challenge

Autor: Xingyu Zhang, Xènia Albà, Pau Medrano-Gracia, Allen Lu, Peter Claes, Daniel Rueckert, Pierre Ablin, Sotirios A. Tsaftaris, Xavier Pennec, J. E. Allen, Marc-Michel Rohé, Marco Pereanez, Kaleem Siddiqi, Jan Ehrhardt, Serkan Çimen, Nicolas Duchateau, Avan Suinesiaputra, Vicente Grau, Catarina Pinto, Alejandro F. Frangi, Ilkay Oksuz, Karim Lekadir, Anirban Mukhopadhyay, Mahdi Tabassian, Martino Alessandrini, Alistair A. Young, Luciano Teresi, Nripesh Parajuli, Matthias Wilms, Maxime Sermesant, Brett R. Cowan, Ali Gooya, Jan D'hooge, Wenjia Bai, Paolo Piras, Dennis Säring

Publikováno v: IEEE Journal of Biomedical and Health Informatics
IEEE Journal of Biomedical and Health Informatics, 2018, 22 (3), pp.503-515. ⟨10.1109/JBHI.2017.2652449⟩
Suinesiaputra, A, Ablin, P, Alba, X, Alessandrini, M, Allen, J, Bai, W, Cimen, S, Claes, P, Cowan, B, D'hooge, J, Duchateau, N, Ehrhardt, J, Frangi, A, Gooya, A, Grau, V, Lekadir, K, Lu, A, Mukhopadhyay, A, Oksuz, I, Parajuli, N, Pennec, X, Pereanez, M, Pinto, C, Piras, P, Rohe, M-M, Rueckert, D, Saring, D, Sermesant, M, Siddiqi, K, Tabassian, M, Teresi, L, Tsaftaris, S, Wilms, M, Young, A, Zhang, X & Medrano-Gracia, P 2017, ' Statistical shape modeling of the left ventricle: myocardial infarct classification challenge ', IEEE Journal of Biomedical and Health Informatics . https://doi.org/10.1109/JBHI.2017.2652449
IEEE Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers, 2018, 22 (3), pp.503-515. ⟨10.1109/JBHI.2017.2652449⟩

Statistical shape modeling is a powerful tool for visualizing and quantifying geometric and functional patterns of the heart. After myocardial infarction (MI), the left ventricle typically remodels in response to physiological challenges. Several met

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56516050c9df801bbd06edb841626f1d
https://inria.hal.science/hal-01533805/file/jSuinesiaputra_JBHI_2017_FINAL.pdf

Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression

Autor: Maxime Sermesant, Xavier Pennec, Pierre Jaïs, Shuman Jia, Claudia Camaioni, Hubert Cochet, Marc-Michel Rohé

Publikováno v: Functional Imaging and Modelling of the Heart ISBN: 9783319594477
FIMH
FIMH 2017-International Conference on Functional Imaging and Modeling of the Heart
FIMH 2017-International Conference on Functional Imaging and Modeling of the Heart, Jun 2017, Toronto, Canada. pp.314-321, ⟨10.1007/978-3-319-59448-4_30⟩

International audience; To analyze left atrial remodeling may reveal shape features related to post-ablation outcome in atrial fibrillation, which helps in identifying suitable candidates before ablation. In this article, we propose an application of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c0bddfb341d6abf845aa20696c07d8f
https://doi.org/10.1007/978-3-319-59448-4_30

Highly reduced model of the cardiac function for fast simulation

Autor: Xavier Pennec, Roch Molléro, Marc-Michel Rohé, Maxime Sermesant

Publikováno v: IVMSP
IEEE-IVMSP Workshop 2016
IEEE-IVMSP Workshop 2016, Jul 2016, Bordeaux, France. pp.5, ⟨10.1109/IVMSPW.2016.7528214⟩

International audience; In this article we present a drastic dimension reduction method to link the biophysical parameters of an electromechanical model of the heart with a compact representation of cardiac motion. Our approach relies on a projection

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7212afe0a9cbb8013bbd66cda449abe5
https://doi.org/10.1109/ivmspw.2016.7528214