Uncertainty-Based Segmentation of Myocardial Infarction Areas on Cardiac MR Images

Author(s):  
Robin Camarasa ◽  
Alexis Faure ◽  
Thomas Crozier ◽  
Daniel Bos ◽  
Marleen de Bruijne
2021 ◽  
pp. 1-1
Author(s):  
Xiyue Wang ◽  
Sen Yang ◽  
Yuqi Fang ◽  
Yunpeng Wei ◽  
Minghui Wang ◽  
...  
Keyword(s):  

Author(s):  
Giacomo Tarroni ◽  
Ozan Oktay ◽  
Wenjia Bai ◽  
Andreas Schuh ◽  
Hideaki Suzuki ◽  
...  

2022 ◽  
Vol 71 ◽  
pp. 103174
Author(s):  
Weisheng Li ◽  
Linhong Wang ◽  
Feiyan Li ◽  
Sheng Qin ◽  
Bin Xiao

Author(s):  
Jean Cousty ◽  
Laurent Najman ◽  
Michel Couprie ◽  
Stéphanie Clément-Guinaudeau ◽  
Thomas Goissen ◽  
...  
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Data ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 89
Author(s):  
Alain Lalande ◽  
Zhihao Chen ◽  
Thomas Decourselle ◽  
Abdul Qayyum ◽  
Thibaut Pommier ◽  
...  

One crucial parameter to evaluate the state of the heart after myocardial infarction (MI) is the viability of the myocardial segment, i.e., if the segment recovers its functionality upon revascularization. MRI performed several minutes after the injection of a contrast agent (delayed enhancement-MRI or DE-MRI) is a method of choice to evaluate the extent of MI, and by extension, to assess viable tissues after an injury. The Emidec dataset is composed of a series of exams with DE-MR images in short axis orientation covering the left ventricle from normal cases or patients with myocardial infarction, with the contouring of the myocardium and diseased areas (if present) from experts in the domains. Moreover, classical available clinical parameters when the patient is managed by an emergency department are provided for each case. To the best of our knowledge, the Emidec dataset is the first one where annotated DE-MRI are combined with clinical characteristics of the patient, allowing the development of methodologies for exam classification as for exam quantification.


2019 ◽  
Vol 30 (1) ◽  
pp. 620-629 ◽  
Author(s):  
Agnes Mayr ◽  
Mathias Pamminger ◽  
Martin Reindl ◽  
Simon Greulich ◽  
Sebastian J. Reinstadler ◽  
...  

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