A Method of Accelerating PET Image Reconstruction Based on GPU

An image reconstruction and response line technology, applied in the field of image reconstruction, can solve the problems of large amount of system matrix data, ineffective use, large amount of calculation, etc., and achieve the effects of high sensitivity, improved sensitivity, and improved reconstruction speed

Active Publication Date: 2019-10-22
XIDIAN UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problem existing in the existing technology is: the current method to solve the DOI effect has a huge amount of calculation and cannot be used effectively, which makes the data volume of the system matrix even larger

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Method of Accelerating PET Image Reconstruction Based on GPU
  • A Method of Accelerating PET Image Reconstruction Based on GPU
  • A Method of Accelerating PET Image Reconstruction Based on GPU

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0034] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0035] Such as figure 1 As shown, the method for accelerating PET image reconstruction based on GPU provided by the embodiment of the present invention includes the following steps:

[0036] S101: Generate a system matrix through Monte Carlo simulation, and extract a subset of the system matrix based on LOR and voxel respectively according to the symmetry of the flat-panel PET system;

[0037] S102: Data input, based on the subset of the system matrix about the LOR, perform forward p...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belonging to the field of the image reconstruction technology discloses a GPU-based method for accelerating PET image reconstruction. The method comprises: with a monte-carlo simulation generation system matrix, a sub set of the system matrix is extracted based on a response line and a voxel according to the symmetry of a flat-plate PET system; on the basis of the sub set, for the response line, of the system matrix, forward projection calculation is carried out and a complementary set of the sub set, for the response line, of the system matrix is calculated based on the symmetry of the response line during the calculation process; and on the basis of the sub set related to the voxel of the system matrix, back projection calculation is carried out and a complementary set of the sub set related to the voxel of the system matrix is calculated according to the symmetry of the voxel during the calculation process, data updating is carried out on a reconstructed image, iteration is ended, and data outputting is carried out. Therefore, the PET image reconstruction time is reduced, the sensitivity of the reconstructed image is improved; and the precise function information is provided for studying the metabolism process of the kid and the regional metabolism state of the living body.

Description

technical field [0001] The invention belongs to the technical field of image reconstruction, in particular to a method for accelerating PET image reconstruction based on GPU. Background technique [0002] Small animal PET systems have been widely developed because of their ability to obtain high-resolution images in biological experiments. The PET imaging system using a pair of flat-panel detectors has always attracted the attention of researchers because of its simple structure, easy engineering implementation, openness and adjustability. At the same time, in many clinical focal examinations and treatments, it is necessary to obtain high-quality PET images for local parts. Systems based on flat plate structures can be system-tailored and optimized for specific sites and applications, achieving high sensitivity and spatial resolution at an affordable cost. These advantages have unique potential value in site-specific tumor treatment planning and efficacy monitoring. Howev...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06T1/20G06T11/00
Inventor 朱守平王建勋曹旭孟凡珍曹雪舟李亮梁继民
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products