Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Adaptive motion estimation in acoustic radiation force imaging

一种声学辐射力、运动的技术,应用在器官运动/变化检测、超声/声波/次声图像/数据处理、应用等方向,能够解决去除不准确、误差等问题

Active Publication Date: 2017-02-22
SIEMENS MEDICAL SOLUTIONS USA INC
View PDF9 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This removal may be inaccurate or may introduce errors where the undesired motion differs during wave propagation or at the measurement location

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
  • Adaptive motion estimation in acoustic radiation force imaging
  • Adaptive motion estimation in acoustic radiation force imaging
  • Adaptive motion estimation in acoustic radiation force imaging

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] Provides adaptive physiological motion and transducer motion estimation in Acoustic Radiation Force Impulse or Imaging (ARFI) applications. Axial and lateral components of physiological and / or transducer motion are adaptively estimated and corrected. Multiple ARFI excitation pulses are used to isolate physiological and transducer displacements from ARFI-induced tissue displacements. In one embodiment, the signal pattern is generated multiple times and used to detect background (physiological) motion. ARFI excitation is used to generate tissue deformation as a signal pattern. Physiological motion is filtered out in shear wave velocity or other ARFI imaging.

[0020] figure 1 A method for acoustic radiation force ultrasound imaging is shown. Typically, multiple push pulses are emitted and a corresponding multiple displacement profiles are measured for position. An axial component of physiological motion can be estimated from the difference between the displacement pr...

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

For acoustic radiation force ultrasound imaging, multiple displacement profiles (30) for a given location are acquired. Physiological and / or transducer axial and / or lateral motion are accounted for using the displacements from the different acoustic radiation force impulses. For axial motion, a difference (38) between the displacements of the different profiles provides information about motion during displacement at the location caused by just the undesired motion. A more accurate estimate of the undesired motion for removing from the displacement profile is provided. For lateral motion, the displacement profiles are obtained using waves traveling from different directions relative to the given location. An average (46) of velocities (42) estimated from the different profiles removes undesired lateral motion.

Description

Background technique [0001] This embodiment relates to acoustic radiation force imaging. In particular, this embodiment relates to motion correction in acoustic radiation force imaging. [0002] Acoustic radiation force imaging indicates the viscoelastic properties of tissue. Tissue displacement is induced by waves generated from stresses such as Acoustic Force Radiation Impulse (ARFI). The tissue response to this wave is tracked over time. Tissue deformation parameters such as shear wave propagation parameters are secondary order estimates from the phase or displacement of the tracked response. [0003] Acoustic radiation force imaging is susceptible to motion artifacts. The patient can move, the transducer probe can move and / or the anatomy can move. These movements contribute to the displacement and / or resulting parameters. The result is low-quality, biased, low-reproducibility ARF imaging. Physiological motion and transducer motion are unavoidable during in vivo scan...

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): A61B8/08
CPCA61B8/08A61B8/485A61B8/52A61B8/5207A61B8/5215A61B8/461A61B8/5276G06T7/0012G06T2207/10136G06T2207/20224G06T2207/30004
Inventor 范列湘Y.拉拜德
Owner SIEMENS MEDICAL SOLUTIONS USA INC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products