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  4. 3-D motion correction for volumetric super-resolution ultrasound (SR-US) imaging
 
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3-D motion correction for volumetric super-resolution ultrasound (SR-US) imaging
File(s)
3D Motion Correction_v2.pdf (434.94 KB)
Accepted version
Author(s)
Harput, Sevan
Christensen-Jeffries, K
Brown, J
Zhu, Jiaqi
Zhang, Ge
more
Type
Conference Paper
Abstract
Motion during image acquisition can cause image
degradation in all medical imaging modalities. This is particularly
relevant in 2-D ultrasound imaging, since out-of-plane motion
can only be compensated for movements smaller than elevational
beamwidth of the transducer. Localization based super-resolution
imaging creates even a more challenging motion correction task
due to the requirement of a high number of acquisitions to form
a single super-resolved frame.
In this study, an extension of two-stage motion correction
method is proposed for 3-D motion correction. Motion estimation
was performed on high volumetric rate ultrasound acquisitions
with a handheld probe. The capability of the proposed method
was demonstrated with a 3-D microvascular flow simulation to
compensate for handheld probe motion. Results showed that two-
stage motion correction method reduced the average localization
error from 136 to 18
μ
m.
Date Issued
2018-12-20
Date Acceptance
2018-10-31
Citation
2018 IEEE International Ultrasonics Symposium (IUS), 2018
URI
http://hdl.handle.net/10044/1/66170
Publisher
IEEE
Journal / Book Title
2018 IEEE International Ultrasonics Symposium (IUS)
Copyright Statement
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/N015487/1
Source
IEEE International Ultrasonics Symposium (IUS) 2018
Start Date
2018-10-22
Finish Date
2018-10-25
Coverage Spatial
Kobe, Japan
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