Method and device for realizing Compton camera reconstruction by constructing sparse source set matrix

A Compton camera and matrix technology, applied in the field of imaging, can solve problems such as high computational complexity, low computational precision, and large computational load, and achieve the effects of low computational complexity, background noise elimination, and short time-consuming

Pending Publication Date: 2022-06-03
TSINGHUA UNIV
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Problems solved by technology

[0006] The present application provides a method, device, electronic device and storage medium for realizing Compton camera reconstruction by constructing a sparse source set matrix, so as to solve the problem of large amount of calculation and high computational complexity when performing Compton camera reconstruction in related technologies. It takes a long time in the calculation and the problem of low calculation accuracy

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  • Method and device for realizing Compton camera reconstruction by constructing sparse source set matrix
  • Method and device for realizing Compton camera reconstruction by constructing sparse source set matrix
  • Method and device for realizing Compton camera reconstruction by constructing sparse source set matrix

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[0026] The following describes in detail the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, and are intended to be used to explain the present application, but should not be construed as a limitation to the present application.

[0027] The following describes a method, an apparatus, an electronic device, and a storage medium for realizing Compton camera reconstruction by constructing a sparse source set matrix according to the embodiments of the present application with reference to the accompanying drawings. Aiming at the problems of large amount of computation, high computational complexity, long computation time, and low computation accuracy mentioned in the above-mentioned background ...

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Abstract

The invention discloses a method and device for realizing Compton camera reconstruction by constructing a sparse source set matrix, electronic equipment and a storage medium, and the method comprises the steps: converting a high-dimensional space voxel of a radioactive source of a Compton camera into a one-dimensional row vector tag of a corresponding photon event; constructing a two-dimensional sparse source set matrix of all photon events and corresponding one-dimensional row vector labels; and performing iterative reconstruction of one-dimensional random sampling on the two-dimensional sparse source set matrix to obtain a Compton camera reconstruction result. According to the embodiment of the invention, the calculation amount of Compton camera reconstruction is greatly reduced, the calculation complexity is lower, and the time consumption in the high-dimension and high-precision reconstruction of the Compton camera is shorter. Therefore, the problems of large calculation amount, high calculation complexity, long time consumption in calculation and low calculation precision during Compton camera reconstruction in the prior art are solved.

Description

technical field [0001] The present application relates to the field of imaging technologies, and in particular, to a method and apparatus for realizing Compton camera reconstruction by constructing a sparse source set matrix. Background technique [0002] The existing Compton camera reconstruction methods mainly include analytical algorithms and iterative algorithms. [0003] The analysis algorithm is to obtain the weight of the distribution of radiation sources at each position in the reconstruction space through the direct calculation of the inversion Compton cone of the projection data in the form of a list. The computational complexity of such methods is O(N*M), where N is the number of events used for reconstruction, M is the number of voxels divided into the reconstruction space, and the calculation amount of the reconstruction process is proportional to the number of voxels in the reconstruction space and The number of events, which rebuild faster. However, because ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00G06F17/16
CPCG06T11/005G06F17/16
Inventor 肖永顺姚志阳
Owner TSINGHUA UNIV
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