Near real-time magnetic particle imaging for visual assessment of vascular stenosis in a phantom model

Dietrich, Philipp; Vogel, Patrick; Kampf, Thomas; Rückert, Martin; Behr, Volker C.; Bley, Thorsten Alexander; Herz, Stefan

doi:10.1016/j.ejmp.2020.12.020

Cited by 8 publications

(5 citation statements)

References 25 publications

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“…Magnetic particle imaging (MPI) is a new imaging method to detect the spatial distribution of magnetic NPs based on functional and tomographic imaging technology, which can improve the resolution of imaging without radioactive materials (Han et al, 2020). With SPIONs as a tracer, MPI is utilized to distinguish blood vessels from the surrounding tissues (Dietrich et al, 2021; Yu et al, 2017). The optimized multicore particles made by co‐precipitation via synthesis of green rust and iron oxidized cores consisting of a magnetite/maghemite mixed phase were developed to provide better image quality at a low dose and to increase the visibility of vascular abnormalities, such as stenosis or aneurysms in vivo (Mohtashamdolatshahi et al, 2020).…”

Section: Nanomedicine Approaches In Vascular Diseasesmentioning

confidence: 99%

Nanotechnology translation in vascular diseases: From design to the bench

Zhou,

Yue,

Ding

et al. 2023

WIREs Nanomed Nanobiotechnol

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Atherosclerosis is a systemic pathophysiological condition contributing to the development of majority of polyvascular diseases. Nanomedicine is a novel and rapidly developing science. Due to their small size, nanoparticles are freely transported in vasculature, and have been widely employed as tools in analytical imaging techniques. Furthermore, the application of nanoparticles also allows target intervention, such as drug delivery and tissue engineering regenerative methods, in the management of major vascular diseases. Therefore, by summarizing the physical and chemical characteristics of common nanoparticles used in diagnosis and treatment of vascular diseases, we discuss the details of these applications from cellular, molecular, and in vivo perspectives in this review. Furthermore, we also summarize the status and challenges of the application of nanoparticles in clinical translation.This article is categorized under: Therapeutic Approaches and Drug Discovery > Nanomedicine for Cardiovascular Disease Implantable Materials and Surgical Technologies > Nanomaterials and Implants Therapeutic Approaches and Drug Discovery > Emerging Technologies

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Section: Nanomedicine Approaches In Vascular Diseasesmentioning

confidence: 99%

Nanotechnology translation in vascular diseases: From design to the bench

Zhou,

Yue,

Ding

et al. 2023

WIREs Nanomed Nanobiotechnol

View full text Add to dashboard Cite

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“…Assessing the MPI of stroke patients offers many other exciting possibilities. For example, it might be possible to determine the degree of stenosis by measuring blood flow velocities (Dietrich et al, 2021; Vaalma et al, 2017). MPI could also have great potential for detecting inflamed vulnerable plaques, allowing conclusions about the stroke's etiology, and further improving therapy (Tong et al, 2021).…”

Section: Imaging Of Neurological Disordersmentioning

confidence: 99%

Magnetic particle imaging for assessment of cerebral perfusion and ischemia

Ludewig

Graeser

Forkert

et al. 2021

WIREs Nanomed Nanobiotechnol

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Stroke is one of the leading worldwide causes of death and sustained disability. Rapid and accurate assessment of cerebral perfusion is essential to diagnose and successfully treat stroke patients. Magnetic particle imaging (MPI) is a new technology with the potential to overcome some limitations of established imaging modalities. It is an innovative and radiation-free imaging technique with high sensitivity, specificity, and superior temporal resolution. MPI enables imaging and diagnosis of stroke and other neurological pathologies such as hemorrhage, tumors, and inflammatory processes. MPI scanners also offer the potential for targeted therapies of these diseases. Due to lower field requirements, MPI scanners can be designed as resistive magnets and employed as mobile devices for bedside imaging. With these advantages, MPI could accelerate and improve the diagnosis and treatment of neurological disorders. This review provides a basic introduction to MPI, discusses its current use for stroke imaging, and addresses future applications, including the potential for clinical implementation.

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“…The ultra-high time resolution and sensitivity allows MPI having very broad application prospects in many biological and clinical fields. This new imaging technology can be used in drug release and delivery (Zhang 2017, Zhu et al 2019, Stueber et al 2021, plaque hemorrhage assessment and detection (Tong et al 2021(Tong et al , 2023, assessment of vascular stenosis (Herz et al 2017, Dietrich et al 2021, precise magnetic thermal tumor treatment (Tay et al 2018, Du et al 2019, Song et al 2020, assessment of cerebral perfusion and cerebral ischemia (Ludewig et al 2017, Ludewig et al 2022, guidance and monitoring of tumor immunotherapy (Liu et al 2019, Peng et al 2023, noninvasive tracing of cells in vivo (Song et al 2018, Bulte et al 2022.…”

Section: Introductionmentioning

confidence: 99%

SPFS: SNR peak-based frequency selection method to alleviate resolution degradation in MPI real-time imaging

Shan,

Zhang,

Cheng

et al. 2024

Phys. Med. Biol.

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Objective: The primary objective of this study is to address the reconstruction time challenge in Magnetic Particle Imaging (MPI) by introducing a novel approach named SNR-Peak-Based Frequency Selection (SPFS). The focus is on improving spatial resolution without compromising reconstruction speed, thereby enhancing the clinical potential of MPI for real-time imaging. Approach: To overcome the trade-off between reconstruction time and spatial resolution in MPI, the researchers propose SPFS as an innovative frequency selection method. Unlike conventional SNR-based selection, SPFS prioritizes frequencies with Signal-to-Noise Ratio (SNR) peaks that capture crucial system matrix information. This adaptability to varying quantities of selected frequencies enhances versatility in the reconstruction process. The study compares the spatial resolution of MPI reconstruction using both SNR-based and SPFS frequency selection methods, utilizing simulated and real device data. Main Results: The research findings demonstrate that the SPFS approach substantially improves image resolution in Magnetic Particle Imaging, especially when dealing with a limited number of frequency components. By focusing on SNR peaks associated with critical system matrix information, SPFS mitigates the spatial resolution degradation observed in conventional SNR-based selection methods. The study validates the effectiveness of SPFS through the assessment of MPI reconstruction spatial resolution using both simulated and real device data, highlighting its potential to address a critical limitation in the field. Significance: The introduction of SNR-Peak-Based Frequency Selection (SPFS) represents a significant breakthrough in MPI technology. The method not only accelerates reconstruction time but also enhances spatial resolution, thus expanding the clinical potential of MPI for various applications. The improved real-time imaging capabilities of MPI, facilitated by SPFS, hold promise for advancements in drug delivery, plaque assessment, tumor treatment, cerebral perfusion evaluation, immunotherapy guidance, and in vivo cell tracking.

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Near real-time magnetic particle imaging for visual assessment of vascular stenosis in a phantom model

Cited by 8 publications

References 25 publications

Nanotechnology translation in vascular diseases: From design to the bench

Nanotechnology translation in vascular diseases: From design to the bench

Magnetic particle imaging for assessment of cerebral perfusion and ischemia

SPFS: SNR peak-based frequency selection method to alleviate resolution degradation in MPI real-time imaging

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