Browsing by Author "Sermesant, Maxime"

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  • A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
    Xiong, Zhaohan; Xia, Qing; Hu, Zhiqiang; Huang, Ning; Bian, Cheng; Zheng, Yefeng; Vesal, Sulaiman; Ravikumar, Nishant; Maier, Andreas; Yang, Xin; Heng, Pheng-Ann; Ni, Dong; Li, Caizi; Tong, Qianqian; Si, Weixin; Puybareau, Elodie; Khoudli, Younes; Géraud, Thierry; Chen, Chen; Bai, Wenjia; Rueckert, Daniel; Xu, Lingchao; Zhuang, Xiahai; Luo, Xinzhe; Jia, Shuman; Sermesant, Maxime; Liu, Yashu; Wang, Kuanquan; Borra, Davide; Masci, Alessandro; Corsi, Cristiana; Vente, Coen de; Veta, Mitko; Karim, Rashed; Jayachandran Preetha, Chandrakanth; Engelhardt, Sandy; Qiao, Menyun; Wang, Yuanyuan; Tao, Qian; Nuñez-Garcia, Marta; Camara, Oscar; Savioli, Nicolo; Lamata, Pablo; Zhao, Jichao (Elsevier, 2021)
    Segmentation of medical images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) used for visualizing diseased atrial structures, is a crucial first step for ablation treatment of atrial fibrillation. ...
  • A Rule-Based method to model myocardial fiber orientation for simulating ventricular outflow tract arrhythmias
    Doste Beltrán, Rubén; Soto-Iglesias, David; Bernardino Perez, Gabriel; Sebastián Aguilar, Rafael, 1978-; Giffard-Roisin, Sophie; Cabrera-Lozoya, Rocío; Sermesant, Maxime; Berruezo Sánchez, Antonio; Sánchez-Quintana, Damián; Camara, Oscar (Springer, 2017)
    Myocardial fiber orientation determines the propagation of electrical waves in the heart and the contraction of cardiac tissue. One common approach for assigning fiber orientation to cardiac anatomi- cal models are ...
  • Breaking the state of the heart: meshless model for cardiac mechanics
    Lluch Alvarez, Èric; Craene, Mathieu de; Bijnens, Bart; Sermesant, Maxime; Noailly, Jérôme; Camara, Oscar; Morales, Hernán G. (Springer, 2019)
    Cardiac modeling has recently emerged as a promising tool to study pathophysiology mechanisms and to predict treatment outcomes for personalized clinical decision support. Nevertheless, achieving convergence under large ...
  • Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?
    Bernard, Olivier; Lalande, Alain; Zotti, Clement; Cervenansky, Frederick; Yang, Xin; Heng, Pheng-Ann; Cetin, Irem; Lekadir, Karim, 1977-; Camara, Oscar; González Ballester, Miguel Ángel, 1973-; Sanromà, Gerard; Napel, Sandy; Petersen, Steffen; Tziritas, Georgios; Grinias, Elias; Khened, Mahendra; Kollerathu, Varghese Alex; Krishnamurthi, Ganapathy; Rohé, Marc-Michel; Pennec, Xavier; Sermesant, Maxime; Isensee, Fabian; Jäger, Paul; Maier-Hein, Klaus H.; Full, Peter M.; Wolf, Ivo; Engelhardt, Sandy; Baumgartner, Christian F.; Koch, Lisa M.; Wolterink, Jelmer M.; Išgum, Ivana; Jang, Yeonggul; Hong, Yoonmi; Patravali, Jay; Jain, Shubham; Humbert, Olivier; Jodoin, Pierre-Marc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    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 ...
  • Improved myocardial motion estimation combining tissue Doppler and B-mode echocardiographic images
    Bijnens, Bart; Porras Pérez, Antonio Reyes; Alessandrini, Martino; Craene, Mathieu de; Duchateau, Nicolas; Sitges, Marta; Delingette, Hervé; Sermesant, Maxime; D'hooge, Jan; Frangi Caregnato, Alejandro; Piella Fenoy, Gemma (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    We propose a technique for myocardial motion estimation based on image registration using both B-mode echocardiographic images and tissue Doppler sequences acquired interleaved. The velocity field is modeled continuously ...
  • In-silico analysis of the influence of pulmonary vein configuration on left atrial haemodynamics and thrombus formation in a large cohort
    Mill, Jordi; Harrison, Josquin; Legghe, Benoit; Olivares, Andy L.; Morales, Xabier; Noailly, Jérôme; Iriart, Xavier; Cochet, Hubert; Sermesant, Maxime; Camara, Oscar (Springer, 2021)
    Atrial fibrillation (AF) is considered the most common human arrhythmia. Around 99% of thrombi in non-valvular AF are formed in the left atrial appendage (LAA). Studies suggest that abnormal LAA haemodynamics and the ...
  • Meshless electrophysiological modeling of cardiac resynchronization therapy: benchmark analysis with finite-element methods in experimental data
    Albors Lucas, Carlos; Lluch Alvarez, Èric; Gomez, Juan Francisco; Cedilnik, Nicolas; Mountris, Konstantinos A.; Mansi, Tommaso; Khamzin, Svyatoslav; Dokuchaev, Arsenii; Solovyova, Olga; Pueyo, Esther; Sermesant, Maxime; Sebastian, Rafael; Morales, Hernán G.; Camara, Oscar (MDPI, 2022)
    Computational models of cardiac electrophysiology are promising tools for reducing the rates of non-response patients suitable for cardiac resynchronization therapy (CRT) by optimizing electrode placement. The majority of ...
  • A rule-based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts
    Doste Beltrán, Rubén; Soto-Iglesias, David; Bernardino Perez, Gabriel; Alcaine, Alejandro; Sebastián Aguilar, Rafael, 1978-; Giffard-Roisin, Sophie; Sermesant, Maxime; Berruezo Sánchez, Antonio; Sánchez-Quintana, Damián; Camara, Oscar (Wiley, 2019)
    Rule-based methods are often used for assigning fiber orientation to cardiac anatomical models. However, existing methods have been developed using data mostly from the left ventricle. As a consequence, fiber information ...
  • Smoothed particle hydrodynamics for electrophysiological modeling: an alternative to finite element methods
    Lluch Alvarez, Èric; Doste Beltrán, Rubén; Giffard-Roisin, Sophie; This, Alexandre; Sermesant, Maxime; Camara, Oscar; Craene, Mathieu de; Morales, Hernán G. (Springer, 2017)
    Finite element methods (FEM) are generally used in cardiac 3D-electromechanical modeling. For FEM modeling, a step of a suitable mesh construction is required, which is non-trivial and time-consuming for complex geometries. ...