Emission computed tomography image reconstruction method and system

An image reconstruction and image technology, which is applied in the field of medical image reconstruction to achieve high signal-to-noise ratio and suppress motion artifacts

Active Publication Date: 2021-05-14
SHANGHAI UNITED IMAGING HEALTHCARE
View PDF12 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the scan is performed on the chest or upper abdomen, the movement of the lungs or the subject's heart can cause severe motion artifacts in the final generated ECT image

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
  • Emission computed tomography image reconstruction method and system
  • Emission computed tomography image reconstruction method and system
  • Emission computed tomography image reconstruction method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0164] Figure 7-A , Figure 7-B and Figure 7-C They are the ECT images of the target scanning parts of the subject obtained by using different image reconstruction methods according to an embodiment of the present application. For the convenience of display, a 2D image is used for illustration. in, Figure 7-A It is the ECT image obtained by reconstructing the projection data based on the time domain extension function in this embodiment; Figure 7-B For this embodiment, the ECT image obtained by reconstructing projection data using a non-gated technique (such as a method based on a point spread function); Figure 7-C For this embodiment, the projection data is reconstructed using a uniform gating method to obtain an ECT image.

[0165] Figure 7-B The ECT image has a low noise level (high signal-to-noise ratio), but the resolution of the reconstructed image is poor. Figure 7-C The ECT image has high image resolution but high noise level (poor signal-to-noise ratio)....

Embodiment 2

[0167] Figure 8-A , Figure 8-B and Figure 8-C They are the ECT images (2D / two-dimensional forms) of the target scanning parts of the subject obtained by using different image reconstruction methods according to an embodiment of the present application. Figure 8-AIt is the ECT image obtained by reconstructing the projection data based on the time domain extension function in this embodiment; Figure 8-B For this embodiment, the ECT image obtained by reconstructing projection data using a non-gated technique (such as a method based on a point spread function); Figure 8-C For this embodiment, the projection data is reconstructed using a uniform gating method to obtain an ECT image. Figure 8-B The ECT image has a low noise level (high signal-to-noise ratio), but the resolution of the reconstructed image is poor. Figure 8-C The ECT image has high image resolution but high noise level (poor signal-to-noise ratio). Figure 8-A ECT images with good resolution and low noise...

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 present application relates to methods and systems for emission computed tomography image reconstruction. Wherein, the system for reconstruction of emission computed tomography images is set as a device including a processor and a memory, and the device can generate ECT projection data corresponding to multiple voxels; several gating numbers are determined for multiple voxels, and several A gating number is associated with motion information of multiple voxels; an ECT image is reconstructed from the ECT projection data and a number of gating numbers.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to US Application No. 15 / 386,048, filed December 21, 2016, the entire contents of which are hereby incorporated by reference. 【Technical field】 [0003] The present application relates to the technical field of medical image reconstruction, in particular to an emission computed tomography (Emission Computed Tomography, ECT) image reconstruction method and system. 【Background technique】 [0004] Emission Computed Tomography (ECT) is widely used in medical diagnosis and other fields. The types of ECT mainly include Positron Emission Computed Tomography (PET) and Single-Photon Emission Computed Tomography (Single-Photon Emission Computed Tomography, SPECT). The ECT image of the subject can be obtained through the ECT scanning equipment, and the diagnosis of tumor, heart and brain diseases can be obtained through the ECT image. However, when a scan is performed on the chest or upper abdom...

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): A61B6/03
CPCA61B6/032A61B6/5264A61B6/5205G06T11/006A61B6/037G06T7/207A61B5/7292A61B5/7289
Inventor 冯涛朱闻韬李弘棣
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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