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Dual-energy under-sampled matter identification method and system

An identification method and under-sampling technology, applied in the field of radiation imaging, can solve the problem of inability to achieve low cost, and achieve the effects of low-dose fast scanning, reduced rotation times, and low cost

Active Publication Date: 2012-05-02
TSINGHUA UNIV +1
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Problems solved by technology

[0007] The purpose of the present invention is to propose a dual-energy under-sampled substance identification method and system to solve the problem of low cost, low dose, and fast speed in the current two types of systems that use dual-energy CT imaging technology to reconstruct the detected object and perform material identification. detection problem

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  • Dual-energy under-sampled matter identification method and system

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Embodiment Construction

[0033] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the drawings, the same reference numerals are used to designate the same or similar components, although shown in different drawings. For clarity and conciseness, detailed descriptions of known functions and constructions incorporated herein will be omitted since they would otherwise obscure the subject matter of the present invention.

[0034] The system according to the embodiment of the present invention is an improved true dual-energy circular trajectory material identification imaging detection system using a CT image-based dual-energy projection undersampling material identification method. Such as Figure 3A As shown, the system uses a fan beam circular trajectory scanning consisting of a ray source and a layer of detectors. Such as Figure 5A with 5B As shown, the shape information of the object is obtained by using the CT i...

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Abstract

The invention discloses a dual-energy under-sampled matter identification method and a dual-energy under-sampled matter identification system. The method comprises the following steps of: acquiring the computed tomography (CT) image of a detected matter by a CT image reconstruction method, acquiring a small quantity of dual-energy under-sampled projections, and solving photoelectric coefficient integration and Compton coefficient integration by looking up a table according to dual-energy projection data; performing region segmentation on the acquired CT image of the detected matter by an image processing technology, marking the segmented regions, and calculating the lengths of the small quantity of acquired dual-energy projection rays which pass through the marked regions; and establishing an equation system by a duel-energy preprocessing dual-effect decomposition and reconstruction method to calculate a Compton coefficient and a photoelectric coefficient, and further solving the atomic number and the electron density of a substance in each segmented region. The type of the substance in the detected matter can be identified by the atomic number of the substance.

Description

[0001] This application is a divisional application of the invention patent application 200910085925.X filed on May 27, 2009, entitled "Dual Energy Undersampling Substance Identification Method and System". technical field [0002] The invention relates to the technical field of radiation imaging, in particular to a dual-energy undersampling material identification method and system, which can reduce radiation dose and system cost, and increase scanning speed. Background technique [0003] In recent years, due to the fact that dual-energy CT imaging technology can obtain the best detection accuracy, effectively reconstruct the detected object and carry out material identification, it has very important significance in the fields of safety inspection, non-destructive testing, medical diagnosis and so on. [0004] At present, there are two main implementation methods of dual-energy CT imaging technology: one is a pseudo-dual-energy system that uses a specially designed double-l...

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Application Information

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IPC IPC(8): G01N23/04G01N23/087
Inventor 陈志强张丽刘圆圆邢宇翔赵自然
Owner TSINGHUA UNIV
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