A method, apparatus and system for decomposing a substance

A material, single energy technology, applied in the field of devices and systems, and material decomposition methods, can solve problems such as energy spectrum deformation, decomposition model errors, affecting the accuracy of material decomposition, etc.

Active Publication Date: 2019-01-18
TSINGHUA UNIV +1
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  • Abstract
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Problems solved by technology

[0004] However, due to the non-ideal physical effects of photon counting detectors, such as charge sharing, pulse stacking and k-escape, e...

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  • A method, apparatus and system for decomposing a substance
  • A method, apparatus and system for decomposing a substance
  • A method, apparatus and system for decomposing a substance

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Embodiment Construction

[0020] The characteristics and exemplary embodiments of various aspects of the present invention will be described in detail below. In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only configured to explain the present invention, not to limit the present invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is only to provide a better understanding of the present invention by showing examples of the present invention.

[0021] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and ...

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Abstract

A method, apparatus and system for decomposing a substance are disclosed. The substance decomposition method comprises the following steps: collecting projection data of a calibration module at two ormore energy windows, and determining the multi-energy data corresponding to the substance decomposition realization mode of the calibration module and the designated domain according to the projection data and the substance decomposition realization mode of the designated domain; the ideal mono-energy data of calibrated model under the ideal mono-energy is obtained by the preset method. The corresponding neural network is trained according to the multi-energy data, and the trained neural network reflects the mapping relationship between the multi-energy data and the ideal single-energy data.The decomposed substance is decomposed based on the projection data of the decomposed substance in the specified energy window and the trained neural network. According to the material decomposition method provided by the embodiment of the invention, the material decomposition is carried out through an artificial neural network, and the accuracy of the material decomposition is improved.

Description

technical field [0001] The invention relates to the field of tomographic image reconstruction, in particular to a material decomposition method, device and system. Background technique [0002] With the development of X-ray detectors and imaging systems, dual-energy or multi-energy spectral CT (Computed Tomography, computerized tomography) has been widely used. Compared with the traditional single-energy CT, the spectral CT that uses the signal formed by the X-ray of two or more energy windows or energy channels to pass through the object to be measured can overcome the shortcomings of spectrum hardening and insufficient contrast. Starting from the underlying physical basis, it breaks the development bottleneck of traditional CT imaging in many application fields, improves the ability of X-ray CT images to distinguish substances and improves the ability of quantitative analysis of substance components. [0003] The photon counting detector has good energy resolution charact...

Claims

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Application Information

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IPC IPC(8): G06T11/00G06N3/04G06N3/08
CPCG06N3/084G06T11/005G06N3/048
Inventor 邢宇翔冯初晴张丽陈志强沈乐
Owner TSINGHUA UNIV
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