Normalization correction factor acquiring and determining methods and medical imaging method

A technology of correction factor and acquisition method, applied in the acquisition of normalized correction factor, medical imaging field, can solve the problems of poor consistency, efficiency fluctuation of response line, insufficient sampling data, etc. Statistical accuracy improvement, the effect of good detector features

Active Publication Date: 2018-04-27
RAYSOLUTION DIGITAL MEDICAL IMAGING CO LTD
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This effect will be very obvious for low counts, when there are only a few tens or even a few samples on each LOR, we can't even tell whether these events are noise
Therefore, when using the existing normalization correction method to correct the scanned PET data, there are the following two problems: 1. The response line conforms to the efficiency fluctuation, and the consistency is poor after normalization correction according to the existing method; 2. At present, the amount of sampled data is insufficient, and it is difficult to form an accurate normalized correction factor

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
  • Normalization correction factor acquiring and determining methods and medical imaging method
  • Normalization correction factor acquiring and determining methods and medical imaging method
  • Normalization correction factor acquiring and determining methods and medical imaging method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The invention discloses a method for obtaining a normalized correction factor. In one embodiment, obtaining the normalized correction factor includes the following steps:

[0046] S1: Acquisition of actual data at a specified time for a phantom with an initial uniform activity, the volume of which covers the target imaging field of view.

[0047] As a preferred solution, in step S1, in step S1, a PET detection system is used to collect data on a cylindrical phantom with uniform activity, and the imaging field of view is the PET detection system that can be used to place the scanned object and perform imaging Three-dimensional space (field of view, FOV for short), that is, the prosthesis cannot be smaller than the FOV used, the activity range is 0.01mCi-50mCi, and the scanning time is 1min-200min. The cylindrical phantom is a cylindrical shell, and the inner cavity can be injected with a PET tracer solution to be used as a radiation source for imaging; the scanning time ...

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 discloses a normalization correction factor acquiring method, comprising the steps of S1, acquiring actual data for a prosthesis of initial uniform activity for specific time, wherein the size of the prosthesis covers a target imaging field; S2, acquiring actual event count SRi of single channel i based on the actual data acquired; S3, subjecting prostheses of same size to theoreticdata acquisition based on the identical activity and sampling time; S4, acquiring theoretic event count STi of the corresponding single channel i based on the theoretic data acquired; S5, determiningnormalization factor NSi=STi / Sri of the single channel i. Statistics based on single channel count rate shows that the normalization correction factor determined by the method has low data quantity requirement and can better reflect characteristics of system detectors.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for acquiring a normalized correction factor and a medical imaging method. Background technique [0002] PET is the abbreviation of Positron Emission Tomography in English. The clinical imaging process is as follows: label the radionuclides (such as F-18, etc.) in the subject's body. Allow the subject to perform a PET scan within the effective field of view of the PET. The positrons emitted by the radionuclide move about 1 mm in the body and combine with the negative electrons in the tissue to produce annihilation radiation, producing two gamma photons with equal energy (511KeV) and opposite directions. The detection device of the PET system can detect the gamma photon pair, and then analyze the existence of positrons, and reconstruct the PET image reflecting the metabolism of various tissues of the organism, and obtain the concentration distribution of the t...

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 Applications(China)
IPC IPC(8): A61B6/03
CPCA61B6/037A61B6/582
Inventor 李炳轩
Owner RAYSOLUTION DIGITAL MEDICAL IMAGING CO LTD
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap