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Coil Sensitivity Estimation and Intensity Normalisation for Magnetic Resonance Imaging
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Spolkänslighetsbestämning och intensitetsnormalisering för magnetresonanstomografi (Swedish)
Abstract [en]

The quest for improved efficiency in magnetic resonance imaging has motivated the development of strategies like parallel imaging where arrays of multiple receiver coils are operated simultaneously in parallel. The objective of this project was to find an estimation of phased-array coil sensitivity profiles of magnetic resonance images of the human body. These sensitivity maps can then be used to perform an intensity inhomogeneity correction of the images. Through investigative work in Matlab, a script was developed that uses data embedded in raw data from a magnetic resonance scan, to generate coil sensitivities for each voxel of the volume of interest and recalculate them to two-dimensional sensitivity maps of the corresponding diagnostic images. The resulting mapped sensitivity profiles can be used in Sensitivity Encoding where a more exact solution can be obtained using the carefully estimated sensitivity maps of the images.

Abstract [sv]

Inom magnetresonanstomografi eftersträvas förbättrad effektivitet, villket bidragit till utvecklingen av strategier som parallell imaging, där arrayer av flera mottagarspolar andvänds samtidigt. Syftet med detta projekt var att uppskattamottagarspolarnas känslighetskarta för att utnyttja dem till i metoder inom magnetresonansavbildning. Dessa känslighetskartor kan användas för att utföra intensitetsinhomogenitetskorrigering av bilderna. Genom utforskande arbete i Matlab utvecklades ett skript som tillämpar inbyggd rådata, från en magnetiskresonansavbildning för att generera spolens känslighet för varje voxel av volymen och omberäkna dem till tvådimensionella känslighetskartor av motsvarande diagnostiska bilder. De resulterande kartlagda känslighetsprofilerna kan användas i känslighetskodning, där en mer exakt lösning kan erhållas med hjälp av de noggrant uppskattade känslighetskartorna.

Place, publisher, year, edition, pages
2019. , p. 22
Series
TRITA-CBH-GRU ; 2019:066
Keywords [en]
Image reconstruction, Magnetic Resonance Imaging, sensitivity encoding, Parallell imaging, Coil sensitivity, ISMRM raw data
Keywords [sv]
Magnetresonanstomografi, känslighetskodning, bildrekonstruktion, Parallell imaging, Spolkänslighet, ISMRMRD
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:kth:diva-263149OAI: oai:DiVA.org:kth-263149DiVA, id: diva2:1366830
External cooperation
Karolinska Institute; Karolinska University Hospital
Subject / course
Medical Engineering
Educational program
Master of Science in Engineering - Medical Engineering
Supervisors
Examiners
Available from: 2020-01-09 Created: 2019-10-31 Last updated: 2020-01-09Bibliographically approved

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