Chinese Academy of Sciences

Beihang University

Annoroad Gene Technology (beijing) Co., Ltd

Yang Du

Han Zhang

Jie Tian

Yu An

Dawei Li

Qian Liang

Guanghui Li

Lin Yin

Junbin Liang

Zhaoling Xuan

Chongjian Chen

Jiaqian Li

Daxiang Yan

Zhengyao Peng

Shengbin Peng

Feng Hui

An MPI reconstruction method, device, and system based on a RecNet model include obtaining a one-dimensional (1D) MPI signal on which imaging reconstruction is to be performed, taking the 1D MPI signal as an input signal, and inputting the input signal and a velocity signal of an FFP corresponding to the input signal into a trained magnetic particle reconstruction model RecNet for image reconstruction to obtain a two-dimensional (2D) MPI image, where the magnetic particle reconstruction model RecNet is constructed based on a domain conversion network and an improved UNet network. The MPI reconstruction method, device, and system obtain a high-quality and clear magnetic particle distribution image without obtaining the system matrix.

Magnetic particle imaging (MPI) reconstruction method based on RecNet model

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.

Fluorescence moleculartomography reconstruction method based on prior guidance of magnetic particle imaging

Growing community of inventors

Beijing, China

Yang Du