A constrained feature-based cardiac motion estimation method for cardiac PET

Author(s):  
Jizhe Wang ◽  
Tao Feng ◽  
Jingyan Xu ◽  
Benjamin M.W. Tsui
2021 ◽  
Vol 205 ◽  
pp. 106085
Author(s):  
Monire Sheikh Hosseini ◽  
Mahammad Hassan Moradi ◽  
Mahdi Tabassian ◽  
Jan D'hooge

2019 ◽  
Vol 57 ◽  
pp. 136-148 ◽  
Author(s):  
Liang Wang ◽  
Patrick Clarysse ◽  
Zhengjun Liu ◽  
Bin Gao ◽  
Wanyu Liu ◽  
...  

Author(s):  
Alessandro Becciu ◽  
Hans van Assen ◽  
Luc Florack ◽  
Sebastian Kozerke ◽  
Vivian Roode ◽  
...  

Author(s):  
Coert Metz ◽  
Nora Baka ◽  
Hortense Kirisli ◽  
Michiel Schaap ◽  
Theo van Walsum ◽  
...  

2018 ◽  
Vol 4 (1) ◽  
pp. 555-558 ◽  
Author(s):  
Fang Chen ◽  
Jan Müller ◽  
Jens Müller ◽  
Ronald Tetzlaff

AbstractIn this contribution we propose a feature-based method for motion estimation and correction in intraoperative thermal imaging during brain surgery. The motion is estimated from co-registered white-light images in order to perform a robust motion correction on the thermographic data. To ensure real-time performance of an intraoperative application, we optimise the processing time which essentially depends on the number of key points found by our algorithm. For this purpose we evaluate the effect of applying an non-maximum suppression (NMS) to improve the feature detection efficiency. Furthermore we propose an adaptive method to determine the size of the suppression area, resulting in a trade-off between accuracy and processing time.


2007 ◽  
Author(s):  
D. Loeckx ◽  
J. Ector ◽  
F. Maes ◽  
J. D'hooge ◽  
D. Vandermeulen ◽  
...  

Author(s):  
Catharine V. Graves ◽  
Ramon A. Moreno ◽  
Marina F. S. Rebelo ◽  
Adriano Bordignom ◽  
Cesar H. Nomura ◽  
...  

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