Two-dimensional blind iterative deconvolution of medical ultrasound images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F05%3APU52365" target="_blank" >RIV/00216305:26220/05:PU52365 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Two-dimensional blind iterative deconvolution of medical ultrasound images
Original language description
The paper presents a new approach to two-dimensional (2-D) blind deconvolution of ultrasonic images. Homomorphic deconvolution, so far the most successful method in this field, is based on the assumption %The most successful methods, based on homomorphicfiltering, assume that the point spread function (PSF) and the tissue signal lie in different bands of the cepstrum domain, which is not completely true. Furthermore, 2-D phase unwrapping is necessary in 2-D homomorphic mapping, which is an ill-posed annd noise-sensitive problem. Here, both limitations are avoided using blind iterative deconvolution, namely Van Cittert algorithm with reblurring. Simplified homomorphic deconvolution is used only for initial estimation. The algorithm is applied to the whole radiofrequency image, meaning that only the global spatially invariant component of the PSF is removed. Tests on synthetic and clinical images have shown that the deconvolution gives stable results of clearly higher spatial resolution
Czech name
Dvou-dimenzionální slepá iterativní dekonvoluce lékařských ultrasonografických obrazů
Czech description
Prezentuje se zde nový přístup ke 2-D dekonvoluci ultrasonografických obrazů, založený na iterativním postupu.

Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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