Magnetic particle imaging reconstruction method based on attention mechanism

A magnetic particle imaging and attention technology, applied in neural learning methods, 2D image generation, image data processing, etc. Resolution and Accuracy, Reduced Impact, Reduced Effect of Signal Information Loss

Pending Publication Date: 2021-12-28
BEIHANG UNIV
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Problems solved by technology

[0004] However, there are obvious deficiencies in both traditional methods and deep learning methods, which are mainly reflected in the following aspects: (1) Due to the large amount of original collected data, existing methods, especially traditional methods, need to preprocess the data, which increases the complexity of reconstruction. (2) The existing preprocessing methods include downsa

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  • Magnetic particle imaging reconstruction method based on attention mechanism
  • Magnetic particle imaging reconstruction method based on attention mechanism
  • Magnetic particle imaging reconstruction method based on attention mechanism

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[0032] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments:

[0033] The technical scheme of the magnetic particle imaging reconstruction method based on the attention mechanism proposed by the present invention is as follows: figure 1 As shown, it mainly includes the acquisition of data sets, the construction of neural network models, the training of models, and the testing of real magnetic particle one-dimensional frequency domain signals. The specific implementation plan is as follows:

[0034] Acquisition of S1 data set: Generate simulation images and simulate the results of magnetic particle imaging in actual situations. The simulated image is a black and white binary image, where white represents signal and black represents background. Some simple shapes such as ellipse and rectangl...

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Abstract

The invention discloses a magnetic particle imaging reconstruction method based on an attention. According to the method, the strong computing power of a neural network model is utilized to match acquired large data volume, and effective information in signals is extracted by fusing self-attention mechanism learning, so that signal information loss caused by downsampling or truncation is reduced; and end-to-end reconstruction from a one-dimensional frequency domain signal to a two-dimensional image is realized.

Description

technical field [0001] The invention belongs to the field of magnetic particle imaging, and in particular relates to a magnetic particle imaging reconstruction method from a one-dimensional frequency domain signal to a two-dimensional image based on a deep learning self-attention mechanism. Background technique [0002] In clinical diagnosis and detection, how to accurately and objectively locate tumors and other lesions has always been an international research hotspot and challenging issue. Traditional medical imaging technologies such as CT, MRI, SPECT and other methods have problems such as high hazards, poor positioning, and low precision. In recent years, a new tracer-based imaging method, Magnetic Particle Imaging (MPI), has been proposed, which uses tomographic imaging to detect superparamagnetic iron oxide nanoparticles (SPIOs) that are harmless to the human body. The spatial concentration distribution of the target can be precisely positioned, and it has the chara...

Claims

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Application Information

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IPC IPC(8): G06T11/00G06N3/04G06N3/08
CPCG06T11/003G06N3/08G06N3/045
Inventor 田捷卫泽琛惠辉安羽唐振超
Owner BEIHANG UNIV
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