Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data

Autor: Georgios Tziritas, Yeonggul Jang, Jin Ma, Fumin Guo, Quanzheng Li, Tiancong Hua, Xiang Li, Lihong Liu, Angélica Atehortúa, James R. Clough, Zhiqiang Hu, Eric Kerfoot, Vicente Grau, Enzo Ferrante, Matthew Ng, Guanyu Yang, Mireille Garreau, Alejandro Debus, Elias Grinias, Jiahui Li, Wufeng Xue, Shuo Li, Wenjun Yan, Ilkay Oksuz, Hao Xu

Publikováno v: IEEE Journal of Biomedical and Health Informatics
IEEE Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers, 2021, 25 (9), pp.3541-3553. ⟨10.1109/JBHI.2021.3064353⟩
IEEE J Biomed Health Inform
IEEE Journal of Biomedical and Health Informatics, 2021, 25 (9), pp.3541-3553. ⟨10.1109/JBHI.2021.3064353⟩

Automatic quantification of the left ventricle (LV) from cardiac magnetic resonance (CMR) images plays an important role in making the diagnosis procedure efficient, reliable, and alleviating the laborious reading work for physicians. Considerable ef

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00c812f31838dbb9f032c46d1d601ad4
https://doi.org/10.1109/jbhi.2021.3064353

Automatic segmentation of the left ventricle myocardium by a multi-view deformable model

Autor: Miguel A. Beltran, Eduardo Romero, Angélica Atehortúa

Publikováno v: 15th International Symposium on Medical Information Processing and Analysis.

Nowadays magnetic resonance images (MRI) are being used to calculate important clinical parameters such as ejection fraction (EF), left ventricle myocardium mass (MM), and stroke volume (SV) which are crucial to estimate the cardiac function, surgica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::840d0289c571b72f4f81bc50e0613dbe
https://doi.org/10.1117/12.2542580

Fusion of 3D real-time echocardiography and cine MRI using a saliency analysis

Autor: Eduardo Romero, Antoine Simon, Erwan Donal, Mireille Garreau, Mathieu Lederlin, Angélica Atehortúa

Publikováno v: International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2020, 15 (2), pp.277-285. ⟨10.1007/s11548-019-02087-w⟩
International Journal of Computer Assisted Radiology and Surgery, 2020, 15 (2), pp.277-285. ⟨10.1007/s11548-019-02087-w⟩

International audience; Purpose - This paper presents a novel 3D multimodal registration strategy to fuse 3D real-time echocardiography images with cardiac cine MRI images. This alignment is performed in a saliency space, which is designed to maximiz

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5f9bb83d29dcfdb39daae15bfbf5b25
https://pubmed.ncbi.nlm.nih.gov/31713090

Automatic segmentation of right ventricle in cardiac cine MR images using a saliency analysis

Autor: Juan David García, Angélica Atehortúa, Maria A. Zuluaga, Eduardo Romero

Publikováno v: Medical Physics. 43:6270-6281

Purpose: Accurate measurement of the right ventricle (RV) volume is important for the assessment of the ventricular function and a biomarker of the progression of any cardiovascular disease. However, the high RV variability makes difficult a proper d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::46712d94df072a7ba5e6c6ffff11003e
https://doi.org/10.1118/1.4966133

Automatic Left Ventricle Quantification in Cardiac MRI via Hierarchical Refinement of High-Level Features by a Salient Perceptual Grouping Model

Autor: Angélica Atehortúa, Mireille Garreau, David Romo-Bucheli, Eduardo Romero

Publikováno v: 9th International Workshop on Statistical Atlases and Computational Models of the Heart Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018
9th International Workshop on Statistical Atlases and Computational Models of the Heart Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, Sep 2018, Granada, Spain. pp.439-449, ⟨10.1007/978-3-030-12029-0_47⟩
Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges ISBN: 9783030120283
STACOM@MICCAI

International audience; An accurate segmentation of the left ventricle (LV) from cardiac magnetic resonance imaging (MRI) provides reliable cardiac indexes such as the ventricular volume, the ejection fraction or regional wall thicknesses (RWT). This

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14f7f0344f043115119e8bb81d5b5918
https://hal-univ-rennes1.archives-ouvertes.fr/hal-02121139