Regularizing method for phase antialiasing in color doppler flow mapping

Autor:	A. M. Yatchenko, Sandrikov Va, Andrey S. Krylov, Tatyana Yu. Kulagina
Rok vydání:	2014
Předmět:	Flow mapping Turbulence business.industry Cognitive Neuroscience Color doppler Regularization (mathematics) Phase unwrapping Computer Science Applications Artificial Intelligence Computer vision Minification Artificial intelligence business Mathematics
Zdroj:	Neurocomputing. 139:77-83
ISSN:	0925-2312
DOI:	10.1016/j.neucom.2013.09.060
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ad86471848119c7611766acbbd37f026 https://doi.org/10.1016/j.neucom.2013.09.060 Zobrazit plný text záznamu Full Text from ScienceDirect