Regularizing method for phase antialiasing in color doppler flow mapping
被引:10
|
作者:
Yatchenko, Artem M.
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机构:
Moscow MV Lomonosov State Univ, Fac Computat Math & Cybernet, Lab Math Methods Image Proc, Moscow 117234, RussiaMoscow MV Lomonosov State Univ, Fac Computat Math & Cybernet, Lab Math Methods Image Proc, Moscow 117234, Russia
Yatchenko, Artem M.
[1
]
Krylov, Andrey S.
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h-index: 0
机构:
Moscow MV Lomonosov State Univ, Fac Computat Math & Cybernet, Lab Math Methods Image Proc, Moscow 117234, RussiaMoscow MV Lomonosov State Univ, Fac Computat Math & Cybernet, Lab Math Methods Image Proc, Moscow 117234, Russia
Krylov, Andrey S.
[1
]
Sandrikov, Valeriy A.
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h-index: 0
机构:
Russian Acad Sci, Petrovsky Natl Res Ctr Surg, Moscow 117901, RussiaMoscow MV Lomonosov State Univ, Fac Computat Math & Cybernet, Lab Math Methods Image Proc, Moscow 117234, Russia
Sandrikov, Valeriy A.
[2
]
Kulagina, Tatyana Yu.
论文数: 0引用数: 0
h-index: 0
机构:
Russian Acad Sci, Petrovsky Natl Res Ctr Surg, Moscow 117901, RussiaMoscow MV Lomonosov State Univ, Fac Computat Math & Cybernet, Lab Math Methods Image Proc, Moscow 117234, Russia
Kulagina, Tatyana Yu.
[2
]
机构:
[1] Moscow MV Lomonosov State Univ, Fac Computat Math & Cybernet, Lab Math Methods Image Proc, Moscow 117234, Russia
[2] Russian Acad Sci, Petrovsky Natl Res Ctr Surg, Moscow 117901, Russia
Ultrasound color Doppler flow mapping;
Antialiasing;
Phase unwrapping;
Regularization method;
D O I:
10.1016/j.neucom.2013.09.060
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
An antialiasing method for the captured phase data obtained by color Doppler flow mapping has been proposed. It is based on minimization of the regularization functional with stabilizing terms taking into account features of the ultrasound investigation. The proposed method allows us to solve the problem even in the case of existing areas with unknown data and turbulent flow regions. Test results for the left ventricle color Doppler flow mapping and comparison with the existing unwrapping methods showed effectiveness of the algorithm. (C) 2014 Elsevier B.V. All rights reserved.