Motion blur invariant for estimating motion parameters of medical ultrasound images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F21%3A00548672" target="_blank" >RIV/67985556:_____/21:00548672 - isvavai.cz</a>
Result on the web
<a href="https://www.nature.com/articles/s41598-021-93636-4" target="_blank" >https://www.nature.com/articles/s41598-021-93636-4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41598-021-93636-4" target="_blank" >10.1038/s41598-021-93636-4</a>

Result language
angličtina
Original language name
Motion blur invariant for estimating motion parameters of medical ultrasound images
Original language description
High-quality medical ultrasound imaging is definitely concerning motion blur, while medical image analysis requires motionless and accurate data acquired by sonographers. The main idea of this paper is to establish some motion blur invariant in both frequency and moment domain to estimate the motion parameters of ultrasound images. We propose a discrete model of point spread function of motion blur convolution based on the Dirac delta function to simplify the analysis of motion invariant in frequency and moment domain. This model paves the way for estimating the motion angle and length in terms of the proposed invariant features. In this research, the performance of the proposed schemes is compared with other state-of-the-art existing methods of image deblurring. The experimental study performs using fetal phantom images and clinical fetal ultrasound images as well as breast scans. Moreover, to validate the accuracy of the proposed experimental framework, we apply two image quality assessment methods as no-reference and full-reference to show the robustness of the proposed algorithms compared to the well-known approaches.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20205 - Automation and control systems

Project
<a href="/en/project/GJ18-26018Y" target="_blank" >GJ18-26018Y: The use of orthogonal moments in image processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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