Direct Parametric Reconstruction Using Anatomical Regularization for Simultaneous PET/MRI Data

Loeb R, Navab N, Ziegler SI (2015)

Publication Type: Journal article

Publication year: 2015

Journal

IEEE Transactions on Medical Imaging Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 34

Pages Range: 2233-2247

Article Number: 7097704

Journal Issue: 11

DOI: 10.1109/TMI.2015.2427777

Abstract

Pharmacokinetic analysis of dynamic positron emission tomography (PET) imaging data maps the measured time activity curves to a set of model-specific pharmacokinetic parameters. Voxel-based parameter estimation via curve fitting is conventionally performed indirectly on a sequence of independently reconstructed PET images, leading to high variance and bias in the parametric images. We propose a direct parametric reconstruction algorithm with raw projection data as input that leverages high-resolution anatomical information simultaneously obtained from magnetic resonance (MR) imaging in a PET/MRI scanner for regularization. The reconstruction problem is formulated in a flexible Bayesian framework with Gaussian Markov Random field modeling of activity, parameters, or both simultaneously. MR information is incorporated through a Bowsher-like prior function. Optimization transfer using an expectation-maximization surrogate and a new Bowsher-like penalty surrogate is applied to obtain a voxel-separable algorithm that interleaves a reconstruction with a fitting step. An analytical input function model is used. The algorithm is evaluated on simulated [¹⁸F] ]FDG and clinical [¹⁸F]]FET brain data acquired with a Biograph mMR. The results indicate that direct and simultaneously regularized parametric reconstruction increases image quality. Anatomical regularization leads to higher contrast than conventional distance-weighted regularization.

Involved external institutions

Technische Universität München (TUM)

Germany (DE)

How to cite

APA:

Loeb, R., Navab, N., & Ziegler, S.I. (2015). Direct Parametric Reconstruction Using Anatomical Regularization for Simultaneous PET/MRI Data. IEEE Transactions on Medical Imaging, 34(11), 2233-2247. https://doi.org/10.1109/TMI.2015.2427777

MLA:

Loeb, Rebekka, Nassir Navab, and Sibylle I. Ziegler. "Direct Parametric Reconstruction Using Anatomical Regularization for Simultaneous PET/MRI Data." IEEE Transactions on Medical Imaging 34.11 (2015): 2233-2247.

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