Investigation of methods for intensity based kidney registration with MRI
Typ
Examensarbete för masterexamen
Program
Publicerad
2022
Författare
Ekberg, Lovisa
Johansson, Jackie
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Background: The kidneys are an important part of the body and an absence of the functions
a kidney provide is be lifethretening. To be able to provide correct treatment, data needs
to be collected. A safe and efficient way of collecting this data is the use of MRI which can
be used to asses both function, structure and pathopysiological changes. But to be able to
access this data, images need to be collected over different time instances. This results in
a issue: the movement of the kidneys due to breathing and heartbeats introduced during
this time period of scanning complicates the analysis of the data. To compensate for these
motions, image registration can be used. This is the process of aligning the images so that
they have a pixel to pixel correspondance.
Aim: The purpose of this study was to assist in the search for an automated registration
method that can compensate for motions in kidney MRI images.
Method: The method used in this project is literature study and performance study. The
literature study was used to get a broad understanding of the topic and to gather information
about promising techniques. These techniques were then implemented in the performance
study. The main parts investigated was: i) the registration process, ii) choice of transform,
iii) choice of similarity measure.
Results and conclusion: Kidney registration is a complex task including many possible
combinations of settings. Mutual information (MI) outperformed Cross-correlation (CC) as
a similarity measure. When it comes to different combinations of registration processes and
transformation models, the result does not show a clear optimal combination. Thus, this
study urges the complexity of selecting registration settings and there are many areas where
further research is needed.
Beskrivning
Ämne/nyckelord
Registration”, “Segmentation”, “Kidneys”, “MRI”, “Imaging”, “Mutual Information”, “Groupwise registration”