NDLI: A phase-based motion estimation technique for mouse cardiac function using monogenic signal and high resolution ultrasound

Content Provider	IEEE Xplore Digital Library
Author	Dan Lin French, B.A. Hossack, J.A.
Copyright Year	2013
Description	Author affiliation: Dept. of Biomed. Eng., Univ. of Virginia Charlottesville, Charlottesville, VA, USA (Dan Lin; French, B.A.; Hossack, J.A.)
Abstract	Regional tissue motion estimation using medical ultrasound images is an important first step in solving many problems with significant clinical applications that include non-invasive assessments of myocardial function in echocardiography. Many existing techniques for estimating motion are based on block-matching using B-mode image intensity, and phase information is often neglected. In digital image processing, it is widely accepted that the information carried in the image phase is more important than information carried by its amplitude. In this work, we implemented a phase-based tracking technique using the monogenic signal to estimate cardiac motion in both synthetic and in vivo mouse heart data. In vivo mouse heart data were acquired with a 30MHz transducer array and synthetic data were simulated with Field II using comparable parameters. The tracking results were compared with a reference speckle tracking analysis method: minimum sum of absolute different (MSAD). The tracking errors for in vivo mouse heart data were 5.3±1.6% and 7.1±2.1% for phase-based and MSAD, respectively. Phase-based displacement estimation via monogenic signal is an improved alternative to conventional block-matching techniques as it makes use of image signal phase information. Phase-based motion tracking using the monogenic signal is accurate and computationally inexpensive.
Sponsorship	IEEE Ultrason., Ferroelectr., Freq. Control Society
Starting Page	1552
Ending Page	1555
File Size	2680549
Page Count	4
File Format	PDF
ISSN	19485719
e-ISBN	9781467356862
DOI	10.1109/ULTSYM.2013.0395
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tracking Heart Mice Ultrasonic imaging Myocardium Band-pass filters In vivo
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Brain tissue motion estimation: 2D speckle tracking using synthetic lateral phase technique

3D cardiac motion estimation using RF signal decorrelation

High resolution 2D quantification of myocardial motion abnormalities in mice using high resolution ultrasound with MRI validation

High resolution quantification of myocardial motion in mice using 2d speckle tracking

QUANTIFICATION OF CARDIAC DYSSYNCHRONY IN MICE AFTER MYOCARDIAL INFARCTION USING HIGH RESOLUTION ULTRASOUND

Brain tissue motion estimation: 2D speckle tracking using synthetic lateral phase technique

3D translation estimation using the monogenic orientation vector

Monogenic orientation-based blood flow estimation in high-frequency ultrasound imaging

Tracking in Wide Area Motion Imagery Using Phase Vector Fields

A phase-based motion estimation technique for mouse cardiac function using monogenic signal and high resolution ultrasound

Similar Documents

Brain tissue motion estimation: 2D speckle tracking using synthetic lateral phase technique

3D cardiac motion estimation using RF signal decorrelation

High resolution 2D quantification of myocardial motion abnormalities in mice using high resolution ultrasound with MRI validation

High resolution quantification of myocardial motion in mice using 2d speckle tracking

QUANTIFICATION OF CARDIAC DYSSYNCHRONY IN MICE AFTER MYOCARDIAL INFARCTION USING HIGH RESOLUTION ULTRASOUND

Brain tissue motion estimation: 2D speckle tracking using synthetic lateral phase technique

3D translation estimation using the monogenic orientation vector

Monogenic orientation-based blood flow estimation in high-frequency ultrasound imaging

Tracking in Wide Area Motion Imagery Using Phase Vector Fields

A phase-based motion estimation technique for mouse cardiac function using monogenic signal and high resolution ultrasound