A 4.8 T/m Magnetic Particle Imaging Scanner Design and Construction

Ütkür, Mustafa; Muslu, Yavuz; Sarıtaş, Emine Ülkü

doi:10.1109/biyomut.2017.8479214

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Imaging experiments were performed on in-house FFP MPI scanner (Fig. 3) [31]. The selection field of this scanner was generated by two permanent magnets with 7-cm diameter and 2-cm thickness, placed at 8-cm separation.…”

Section: Imaging Experimentsmentioning

confidence: 99%

Partial FOV Center Imaging (PCI): A Robust X-Space Image Reconstruction for Magnetic Particle Imaging

Kurt

Muslu

Sarıtaş

2020

IEEE Trans. Med. Imaging

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Magnetic Particle Imaging (MPI) is an emerging medical imaging modality that images the spatial distribution of superparamagnetic iron oxide (SPIO) nanoparticles using their nonlinear response to applied magnetic fields. In standard x-space approach to MPI, the image is reconstructed by gridding the speed-compensated nanoparticle signal to the instantaneous position of the field free point (FFP). However, due to safety limits on the drive field, the field-of-view (FOV) needs to be covered by multiple relatively small partial field-of-views (pFOVs). The image of the entire FOV is then pieced together from individually processed pFOVs. These processing steps can be sensitive to non-ideal signal conditions such as harmonic interference, noise, and relaxation effects. In this work, we propose a robust x-space reconstruction technique, Partial FOV Center Imaging (PCI), with substantially simplified pFOV processing. PCI first forms a raw image of the entire FOV by mapping MPI signal directly to pFOV center locations. The corresponding MPI image is then obtained by deconvolving this raw image by a compact kernel, whose fully-known shape solely depends on the pFOV size. We analyze the performance of the proposed reconstruction via extensive simulations, as well as imaging experiments on our in-house FFP MPI scanner. The results show that PCI offers a trade-off between noise robustness and interference robustness,

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Section: Imaging Experimentsmentioning

confidence: 99%

Partial FOV Center Imaging (PCI): A Robust X-Space Image Reconstruction for Magnetic Particle Imaging

Kurt

Muslu

Sarıtaş

2020

IEEE Trans. Med. Imaging

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show abstract

“…Imaging experiments were performed on in-house FFP MPI scanner (Fig. 2) [31]. The selection field of this scanner was generated by two permanent magnets with 7-cm diameter and 2-cm thickness, placed at 8-cm separation.…”

Section: Imaging Experimentsmentioning

confidence: 99%

Partial FOV Center Imaging (PCI): A Robust X-Space Image Reconstruction for Magnetic Particle Imaging

Kurt¹,

Muslu²,

Sarıtaş³

2019

Preprint

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Magnetic Particle Imaging (MPI) is an emerging medical imaging modality that images the spatial distribution of superparamagnetic iron oxide (SPIO) nanoparticles using their nonlinear response to applied magnetic fields. In standard xspace approach to MPI, the image is reconstructed by gridding the speed-compensated nanoparticle signal to the instantaneous position of the field free point (FFP). However, due to safety limits on the drive field, the field-of-view (FOV) needs to be covered by multiple relatively small partial field-of-views (pFOVs). The image of the entire FOV is then pieced together from individually processed pFOVs. These processing steps can be sensitive to nonideal signal conditions such as harmonic interference, noise, and relaxation effects. In this work, we propose a robust x-space reconstruction technique, Partial FOV Center Imaging (PCI), with substantially simplified pFOV processing. PCI first forms a raw image of the entire FOV by mapping MPI signal directly to pFOV center locations. The corresponding MPI image is then obtained by deconvolving this raw image by a fully known, compact kernel, which solely depends on the pFOV size. We analyze the performance of the proposed reconstruction via extensive simulations, as well as imaging experiments on our in-house FFP MPI scanner. The results show that PCI offers a trade-off between noise robustness and interference robustness, outperforming standard x-space reconstruction in terms of both robustness against non-ideal signal conditions and image quality.

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Selection field generation using permanent magnets and electromagnets for a magnetic particle imaging scanner

Irfan

Doğan

Doǧan

et al. 2022

Alexandria Engineering Journal

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A 4.8 T/m Magnetic Particle Imaging Scanner Design and Construction

Cited by 3 publications

References 11 publications

Partial FOV Center Imaging (PCI): A Robust X-Space Image Reconstruction for Magnetic Particle Imaging

Partial FOV Center Imaging (PCI): A Robust X-Space Image Reconstruction for Magnetic Particle Imaging

Partial FOV Center Imaging (PCI): A Robust X-Space Image Reconstruction for Magnetic Particle Imaging

Selection field generation using permanent magnets and electromagnets for a magnetic particle imaging scanner

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