Model-based simulation of dynamic magnetic resonance imaging signals Academic Article

abstract

• This paper presents a model-based method to efficiently simulate dynamic magnetic resonance imaging signals. Using an analytical spatiotemporal object model, the method can approximate time-varying k-space signals such as those from objects in motion and/or during dynamic contrast enhancement. Both rigid-body and non-rigid-body motions can be simulated using the proposed method. In addition, it can simulate data with arbitrary data sampling order and/or non-uniform k-space trajectory. A set of simulated images were compared with real data acquired from a rat model on a 4.7 T scanner to verify the model. The efficient simulation method is expected to be useful for rapid testing of various imaging and image analysis algorithms such as image reconstruction, image registration, motion compensation, and kinetic parameter mapping. 2008 Elsevier Ltd. All rights reserved.

authors

• Ji, Jim

published proceedings

• BIOMEDICAL SIGNAL PROCESSING AND CONTROL

author list (cited authors)

• Ji, J. X., & Jiraraksopakun, Y.

citation count

• 2

complete list of authors

• Ji, Jim X||Jiraraksopakun, Yuttapong

publication date

• October 2008

publisher

• Elsevier  Publisher

published in

• Biomedical Signal Processing and Control  Journal

keywords

• Dynamic Imaging
• K-space Signal Simulation
• Magnetic Resonance Imaging
• Motion Artifacts
• Non-cartesian

Digital Object Identifier (DOI)

• 10.1016/j.bspc.2008.04.004

start page

• 305

end page

• 311

volume

• 3

issue

• 4

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.bspc.2008.04.004