FastMRI:

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creativework.keywordsMagnetic resonance imaging (MRI),AI
dc.contributor.advisorDR. Mahdy Rahman Chowdhury
dc.contributor.authorMohammad Tanvir
dc.contributor.authorMahmud Habib
dc.contributor.authorFaria Rahman Annasha
dc.contributor.authorTaposhi Rabeya
dc.contributor.id1712071042
dc.contributor.id1711156042
dc.contributor.id1711438042
dc.contributor.id1711085642
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2024-05-14
dc.date.accessioned2024-05-14T07:16:02Z
dc.date.available2024-05-14T07:16:02Z
dc.date.issued2021
dc.description.abstractMagnetic resonance imaging (MRI) has become one of the most common terms in medicine as well in our daily life. Something that is common in our life plays a very significant role. This important MRI is very expensive and slow. Our mission and vision were to make a fast MRI process where anyone can get proper facilities with this new technology. Our project method will show how fast anyone can get an MRI. Even it does not need a lot of money. With Laplace transformation, we made this project, and surprisingly the result was great. Although fast MRI was made before but our method is totally new and the result is very precise. The majority of these methods require the respective sampling patterns in training, which limits their application to a specific problem class. We propose an iterative reconstruction approach that incorporates Laplace transform. Our main goal is to make our life easier, faster in an inexpensive way.
dc.description.degreeUndergraduate
dc.identifier.cd600000544
dc.identifier.print-thesisTo be assigned
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/701
dc.language.isoen
dc.publisherNorth South University
dc.rights© NSU Library
dc.titleFastMRI:
dc.title.alternativeAccelerating MR Image with AI
dc.typeProject
oaire.citation.endPage66
oaire.citation.startPage1
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