Dynamic image reconstruction with motion priors in application to three dimensional magnetic particle imaging

Various imaging modalities allow for time-dependent image reconstructions from measurements where its acquisition also has a time-dependent nature. Magnetic particle imaging (MPI) falls into this class of imaging modalities and it thus also provides a dynamic inverse problem. Without proper consideration of the dynamic behavior, motion artifacts in the reconstruction become an issue. More sophisticated methods need to be developed and applied to the reconstruction of the time-dependent sequences of images. In this context, we investigate the incorporation of motion priors in terms of certain flow-parameter-dependent PDEs in the reconstruction process of time-dependent three dimensional (3D) images in magnetic particle imaging. The present work comprises the method development for a general 3D+time setting for time-dependent linear forward operators, analytical investigation of necessary properties in the MPI forward operator, modeling aspects in dynamic MPI, and extensive numerical experiments on 3D+time imaging including simulated data as well as measurements from a rotation phantom and in vivo data from a mouse.

Subjects

dynamic 3D image reconstruction

joint parameter identification

magnetic particle imaging

motion models

DDC Class

620: Engineering

530: Physics

610: Medicine, Health

006: Special computer methods

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publishedVersion

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https://creativecommons.org/licenses/by/4.0/

Name

23m1580401.pdf

Type

Main Article

Size

11.63 MB

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Adobe PDF

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Dynamic image reconstruction with motion priors in application to three dimensional magnetic particle imaging