A fluorescence molecular tomography reconstruction method includes: obtaining an MPI three-dimensional tomographic image, a body surface near-infrared fluorescence two-dimensional image, and a CT image; constructing an SIS capable of accommodating the ROI, and discretizing the SIS by using a finite element method; performing data mapping to obtain detected surface fluorescence signals, a prior of the anatomical structure of tissues and organs around the tumor and a prior of the tumor; performing forward model calculation to obtain a system matrix and constructing an objective function; iteratively solving the objective function based on the Laplacian regularization matrix to obtain a fluorescence molecular tomography reconstruction result; the present invention adopts MPI to guide the FMT, achieving complete morphology and structure, clear tissue edges, and high accuracy of spatial position.

A fluorescence molecular tomography reconstruction method includes: obtaining an MPI three-dimensional tomographic image, a body surface near-infrared fluorescence two-dimensional image, and a CT image; constructing an SIS capable of accommodating the ROI, and discretizing the SIS by using a finite element method; performing data mapping to obtain detected surface fluorescence signals, a prior of the anatomical structure of tissues and organs around the tumor and a prior of the tumor; performing forward model calculation to obtain a system matrix and constructing an objective function; iteratively solving the objective function based on the Laplacian regularization matrix to obtain a fluorescence molecular tomography reconstruction result; the present invention adopts MPI to guide the FMT, achieving complete morphology and structure, clear tissue edges, and high accuracy of spatial position.

A magnetic field generator assembly is configured to be associated with a table supporting a body. The magnetic field generator comprises a plurality of magnetic field transmitters, each comprising interlacing layers of conductive material, configured to provide increased magnetic strength and minimal fluoroscopic occlusion. The interlacing layers of conductive material can be arranged in rectangular spiral formations.

A significant enhancement of detection capabilities of the room temperature MPQ is seen using optical lithography-defined, ferromagnetic iron-nickel alloy microdisks. Irreversible transitions between strongly non-collinear (vortex) and a collinear single domain states, driven by an ac magnetic field, translate into a nonlinear magnetic response that enables ultrasensitive detection of material at relatively small magnetic fields.

A significant enhancement of detection capabilities of the room temperature MPQ is seen using optical lithography-defined, ferromagnetic iron-nickel alloy microdisks. Irreversible transitions between strongly non-collinear (vortex) and a collinear single domain states, driven by an ac magnetic field, translate into a nonlinear magnetic response that enables ultrasensitive detection of material at relatively small magnetic fields.

This invention relates to a portable magnetic particle imaging (MPI) device. The portable MPI device comprises a handheld probe and a processing unit. The handheld probe comprises a main housing a first sensor coil, a second sensor coil, a transmitter coil arranged between the first and second sensor coils, and an excitation priming frame housing magnetic component and the processing unit comprises a transmitter communicatively connected to the transmitter coil and the excitation priming frame, a receiver communicatively connected to the first and second sensor coils.

This invention relates to a portable magnetic particle imaging (MPI) device. The portable MPI device comprises a handheld probe and a processing unit. The handheld probe comprises a main housing a first sensor coil, a second sensor coil, a transmitter coil arranged between the first and second sensor coils, and an excitation priming frame housing magnetic component and the processing unit comprises a transmitter communicatively connected to the transmitter coil and the excitation priming frame, a receiver communicatively connected to the first and second sensor coils.

A magnetic field generator assembly is configured to be associated with a table supporting a body. The magnetic field generator comprises a plurality of magnetic field transmitters, each comprising interlacing layers of conductive material, configured to provide increased magnetic strength and minimal fluoroscopic occlusion. The interlacing layers of conductive material can be arranged in rectangular spiral formations.

A method and system for reconstructing a magnetic particle distribution model based on time-frequency spectrum enhancement are provided. The method includes: scanning, by a magnetic particle imaging (MPI) device, a scan target to acquire a one-dimensional time-domain signal of the scan target; performing short-time Fourier transform to acquire a time-frequency spectrum; acquiring, by a deep neural network (DNN) fused with a self-attention mechanism, a denoised time-frequency spectrum; acquiring a high-quality magnetic particle time-domain signal; and reconstructing a magnetic particle distribution model. The method learns global and local information in the time-frequency spectrum through the DNN fused with the self-attention mechanism, thereby learning a relationship between different harmonics to distinguish between a particle signal and a noise signal. The method combines the global and local information to complete denoising of the time-frequency spectrum, thereby acquiring the high-quality magnetic particle time-domain signal.

A method and system for reconstructing a magnetic particle distribution model based on time-frequency spectrum enhancement are provided. The method includes: scanning, by a magnetic particle imaging (MPI) device, a scan target to acquire a one-dimensional time-domain signal of the scan target; performing short-time Fourier transform to acquire a time-frequency spectrum; acquiring, by a deep neural network (DNN) fused with a self-attention mechanism, a denoised time-frequency spectrum; acquiring a high-quality magnetic particle time-domain signal; and reconstructing a magnetic particle distribution model. The method learns global and local information in the time-frequency spectrum through the DNN fused with the self-attention mechanism, thereby learning a relationship between different harmonics to distinguish between a particle signal and a noise signal. The method combines the global and local information to complete denoising of the time-frequency spectrum, thereby acquiring the high-quality magnetic particle time-domain signal.