Automated Correction of Spin-History Related Motion Artefacts in fMRI: Simulated and Phantom Data

Autor: Hendrikus Duifhuis, Remco J. Renken, Lucian Muresan, Jos B. T. M. Roerdink
Přispěvatelé: Intelligent Systems, Scientific Visualization and Computer Graphics, Faculty of Science and Engineering
Rok vydání: 2005
Předmět:
EMPIRICAL ANALYSES
Steady state (electronics)
IMAGE
Computer science
Movement
Physics::Medical Physics
Biomedical Engineering
TIME-SERIES
Information Storage and Retrieval
computer.software_genre
Models
Biological

Sensitivity and Specificity
Imaging phantom
Displacement (vector)
Artificial Intelligence
Position (vector)
Voxel
Image Interpretation
Computer-Assisted

medicine
Humans
Computer Simulation
Computer vision
spin-history
automated motion artefact correction
medicine.diagnostic_test
Phantoms
Imaging

business.industry
Brain
Reproducibility of Results
Magnetic resonance imaging
Image Enhancement
functional magnetic resonance imaging
Magnetic Resonance Imaging
STATISTICS
movable MRI-phantom
NULL-HYPOTHESIS
spin-history simulator
Artificial intelligence
Artifacts
business
Focus (optics)
Functional magnetic resonance imaging
computer
Algorithms
Motion system
Zdroj: Ieee transactions on biomedical engineering, 52(8), 1450-1460. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
ISSN: 0018-9294
DOI: 10.1109/tbme.2005.851484
Popis: This paper concerns the problem of correcting spin-history artefacts in fMRI data. We focus on the influence of through-plane motion on the history of magnetization. A change in object position will disrupt the tissue’s steady-state magnetization. The disruption will propagate to the next few acquired volumes until a new steady state is reached. In this paper we present a simulation of spin-history effects, experimental data, and an automatic two-step algorithm for detecting and correcting spin-history artefacts. The algorithm determines the steady-state distribution of all voxels in a given slice and indicates which voxels need a spin-history correction. The spin-history correction is meant to be applied before standard realignment procedures. In order to obtain experimental data a special phantom and an MRI compatible motion system were designed. The effect of motion on spin-history is presented for data obtained using this phantom inside a 1.5 T MRI scanner. We show that the presented algorithm is capable of detecting the occurrence of a displacement, and it determines which voxels need a spin-history correction. The results of the phantom study show good agreement with the simulations.
Databáze: OpenAIRE