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Title: Evaluation of a Validation Method for MR Imaging-Based Motion Tracking Using Image Simulation
Sponsor: Science Foundation Ireland
Author's Homepage:
Keywords: Magnetic Resonance (MR) imaging-based motion and deformation tracking techniques
Issue Date: 2010
Citation: Moerman, KM ; Kerskens, CM ; Lally, C ; Flamini, V ; Simms, CK, Evaluation of a Validation Method for MR Imaging-Based Motion Tracking Using Image Simulation, EURASIP Journal on Advances in Signal Processing, 2010, 2010, 942131
Series/Report no.: EURASIP Journal on Advances in Signal Processing
Abstract: Magnetic Resonance (MR) imaging-based motion and deformation tracking techniques combined with finite element (FE) analysis are a powerful method for soft tissue constitutive model parameter identification. However, deriving deformation data from MR images is complex and generally requires validation. In this paper a validation method is presented based on a silicone gel phantomcontaining contrasting sphericalmarkers. Tracking of thesemarkers provides a directmeasure of deformation. Validation of in vivo medical imaging techniques is often challenging due to the lack of appropriate reference data and the validation method may lack an appropriate reference. This paper evaluates a validation method using simulated MR image data. This provided an appropriate reference and allowed different error sources to be studied independently and allowed evaluation of the method for various signal-to-noise ratios (SNRs). The geometric bias error was between 0–5.560×10−3 voxels while the noisy magnitudeMR image simulations demonstrated errors under 0.1161 voxels (SNR: 5–35).
Description: PUBLISHED
Appears in Collections:Administrative Staff Authors (Scholarly Publications)

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