Unlock instant, AI-driven research and patent intelligence for your innovation.

System and method for simultaneously performing attenuation correction, scatter correction and denoising on low-dose PET (positron emission tomography) image by utilizing neural network

A neural network, convolutional neural network technology, applied in the field of training and using neural networks to reconstruct images from low-dose PET data, which can solve problems such as reduced patient comfort, extended scan time, and reduced volume throughput

Pending Publication Date: 2022-05-13
SIEMENS MEDICAL SOLUTIONS USA INC
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, standard PET dosing and combined CT exposure or MRI scanning can contribute to lower patient comfort, longer scan times, and lower volumetric throughput

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
  • System and method for simultaneously performing attenuation correction, scatter correction and denoising on low-dose PET (positron emission tomography) image by utilizing neural network
  • System and method for simultaneously performing attenuation correction, scatter correction and denoising on low-dose PET (positron emission tomography) image by utilizing neural network
  • System and method for simultaneously performing attenuation correction, scatter correction and denoising on low-dose PET (positron emission tomography) image by utilizing neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] This description of exemplary embodiments is intended to be read in conjunction with the accompanying drawings, which are considered a part of the entire written description.

[0019] Exemplary embodiments are described in relation to the claimed system and the claimed method. Additionally, exemplary embodiments are described with respect to methods and systems for image reconstruction, and with respect to methods and systems for training functions for image reconstruction. Features, advantages or alternative embodiments herein may be assigned to other claimed objects and vice versa. For example, a claim providing a system may be improved with features described or claimed in a method context, and vice versa. Furthermore, functional features of the described or claimed methods are embodied by the object unit providing the system. Similarly, claims to methods and systems for training image reconstruction functions may be improved with features described or claimed in t...

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 relates to a system and method for simultaneous attenuation correction, scatter correction and denoising of low dose PET images using neural networks. An image reconstruction system uses AI processing to generate de-noised, attenuation-corrected, and scatter-corrected images. The system receives a low dose PET image and applies a machine learning algorithm to the low dose PET image via a convolutional neural network to generate an output image. The output image includes a correction of scattering and attenuation associated with the low dose image. The system provides an output image to a computing device that includes a user interface.

Description

technical field [0001] Aspects of the present disclosure relate generally to medical diagnostic systems, and more specifically, to training and using neural networks to reconstruct images from low-dose PET data. Background technique [0002] Nuclear imaging systems can employ a variety of techniques to capture images. For example, some nuclear imaging systems employ positron emission tomography (PET) to capture images. PET is a nuclear medicine imaging technique that produces cross-sectional images showing the distribution of positron-emitting isotopes in the body. Some nuclear imaging systems employ computed tomography (CT). CT is an imaging technique that uses x-rays to produce images of anatomy. Magnetic resonance imaging (MRI / MR) is an imaging technique that uses magnetic fields and radio waves to produce anatomical and functional images. Some nuclear imaging systems combine images from PET and CT scanners in an image fusion process to produce an image showing inform...

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): G06T11/00G06T5/00A61B6/03
CPCG06T11/008A61B6/037A61B6/032A61B6/5211A61B6/5235A61B6/5258G06T2207/10104G06T2210/41G06T5/70A61B6/5282G06T2211/444G06T2211/441G06T2211/452G06T11/005G06T11/006G06T2207/20084G06T2207/20081
Inventor J·胡X·张W·怀特利周传宇V·帕宁
Owner SIEMENS MEDICAL SOLUTIONS USA INC