Registration of Magnetic Resonance Tomography (MRT) Datawith a Low Frequency Adaption of Fourier-Mellin-SOFT (LF-FMS)

Fourier-Mellin-SOFT (FMS) is a rigid 3D registration method, which allows the robust registration of 3 degrees-of-freedom (dof) rotation, 1-dof scale, and 3-dof translation between scans on discrete grids. FMS is based on a spectral decomposition of these 7-dof. This complete spectral representation...

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Main Authors: Heiko Bülow, Andreas Birk
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/8/2581
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spelling doaj-d62d03dba4c44b9280f3fdfad3d933b82021-04-07T23:02:40ZengMDPI AGSensors1424-82202021-04-01212581258110.3390/s21082581Registration of Magnetic Resonance Tomography (MRT) Datawith a Low Frequency Adaption of Fourier-Mellin-SOFT (LF-FMS)Heiko Bülow0Andreas Birk1Computer Science and Electrical Engineering, Jacobs University Bremen, Campus Ring 1, 28759 Bremen, GermanyComputer Science and Electrical Engineering, Jacobs University Bremen, Campus Ring 1, 28759 Bremen, GermanyFourier-Mellin-SOFT (FMS) is a rigid 3D registration method, which allows the robust registration of 3 degrees-of-freedom (dof) rotation, 1-dof scale, and 3-dof translation between scans on discrete grids. FMS is based on a spectral decomposition of these 7-dof. This complete spectral representation of the input data enables an adaption to certain frequency ranges. This special property is used here to focus on relevant mutual 3D information between bone structures with a Low Frequency adaptation of FMS (LF-FMS), that is, it is utilized for matching and concurrently determining corresponding transformation parameters. This process is applied on a set of Magnetic Resonance Tomography (MRT) data representing the hand region, in particular the carpal bone area, in a sequence of different hand positions. This data set is available for different probands, which allows a comparison of resulting parameter plots and furthermore matching in between bone structures.https://www.mdpi.com/1424-8220/21/8/2581volume registrationmagnetic resonance imagingX-ray imaging and computed tomographymotion compensation and analysispattern recognition and classificationintegration of multiscale information
collection DOAJ
language English
format Article
sources DOAJ
author Heiko Bülow
Andreas Birk
spellingShingle Heiko Bülow
Andreas Birk
Registration of Magnetic Resonance Tomography (MRT) Datawith a Low Frequency Adaption of Fourier-Mellin-SOFT (LF-FMS)
Sensors
volume registration
magnetic resonance imaging
X-ray imaging and computed tomography
motion compensation and analysis
pattern recognition and classification
integration of multiscale information
author_facet Heiko Bülow
Andreas Birk
author_sort Heiko Bülow
title Registration of Magnetic Resonance Tomography (MRT) Datawith a Low Frequency Adaption of Fourier-Mellin-SOFT (LF-FMS)
title_short Registration of Magnetic Resonance Tomography (MRT) Datawith a Low Frequency Adaption of Fourier-Mellin-SOFT (LF-FMS)
title_full Registration of Magnetic Resonance Tomography (MRT) Datawith a Low Frequency Adaption of Fourier-Mellin-SOFT (LF-FMS)
title_fullStr Registration of Magnetic Resonance Tomography (MRT) Datawith a Low Frequency Adaption of Fourier-Mellin-SOFT (LF-FMS)
title_full_unstemmed Registration of Magnetic Resonance Tomography (MRT) Datawith a Low Frequency Adaption of Fourier-Mellin-SOFT (LF-FMS)
title_sort registration of magnetic resonance tomography (mrt) datawith a low frequency adaption of fourier-mellin-soft (lf-fms)
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2021-04-01
description Fourier-Mellin-SOFT (FMS) is a rigid 3D registration method, which allows the robust registration of 3 degrees-of-freedom (dof) rotation, 1-dof scale, and 3-dof translation between scans on discrete grids. FMS is based on a spectral decomposition of these 7-dof. This complete spectral representation of the input data enables an adaption to certain frequency ranges. This special property is used here to focus on relevant mutual 3D information between bone structures with a Low Frequency adaptation of FMS (LF-FMS), that is, it is utilized for matching and concurrently determining corresponding transformation parameters. This process is applied on a set of Magnetic Resonance Tomography (MRT) data representing the hand region, in particular the carpal bone area, in a sequence of different hand positions. This data set is available for different probands, which allows a comparison of resulting parameter plots and furthermore matching in between bone structures.
topic volume registration
magnetic resonance imaging
X-ray imaging and computed tomography
motion compensation and analysis
pattern recognition and classification
integration of multiscale information
url https://www.mdpi.com/1424-8220/21/8/2581
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