Parallel Image Reconstruction Using B-Spline Approximation (PROBER)

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03134422" target="_blank" >RIV/68407700:21230/07:03134422 - 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
Parallel Image Reconstruction Using B-Spline Approximation (PROBER)
Original language description
Parallel MRI (pMRI) is a way to increase the speed of the MRI acquisition by com bining data obtained simultaneously from several receiver coils with distinct sp atial sensitivities. We propose an algorithm th at uses B-spline functions to approximate the reconstruction map which reduces t he number of parameters to estimate and makes the reconstruction faster and less sensitive to noise. The proposed method is tested on both phantom and in vivo images. The results ar e compared with commercial implementation of GRAPPA and SENSE algorithms in term s of time complexity and quality of the reconstruction.
Czech name
Parallel Image Reconstruction Using B-Spline Approximation (PROBER)
Czech description
Parallel MRI (pMRI) is a way to increase the speed of the MRI acquisition by com bining data obtained simultaneously from several receiver coils with distinct sp atial sensitivities. We propose an algorithm th at uses B-spline functions to approximate the reconstruction map which reduces t he number of parameters to estimate and makes the reconstruction faster and less sensitive to noise. The proposed method is tested on both phantom and in vivo images. The results ar e compared with commercial implementation of GRAPPA and SENSE algorithms in term s of time complexity and quality of the reconstruction.

Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Project
<a href="/en/project/1ET101050403" target="_blank" >1ET101050403: Artificial inteligence methods in diagnostics from medical images</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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