Literature DB >> 16239655

Echocardiography-based selection of quiescent heart phases: implications for cardiac imaging.

Srini Tridandapani1, J Brian Fowlkes, Jonathan M Rubin.   

Abstract

OBJECTIVE: We compared the potential effectiveness of echocardiography with electrocardiography (ECG) for the selection of phases within the cardiac cycle during which there is relatively little motion. Determination of such phases may be important for triggering other modalities such as computed tomography and magnetic resonance imaging.
METHODS: In a preliminary study in 2 volunteers, simultaneous ECG and cardiac echocardiographic data were obtained and analyzed. Various phases of the echocardiographic data were cross-correlated from beat to beat. Time point pairs from different cardiac cycles with correlation of 0.8 were selected.
RESULTS: Beat-to-beat correlation values peaked at around 80% of the R-R' interval near the cardiac apex and around 30% of the R-R' interval near the cardiac base for 1 subject. For the other subject, the correlation values peaked at around 75% of the R-R' interval near the cardiac apex.
CONCLUSIONS: The cardiac cycle phase having maximum spatial cross-correlation for the longest period varied from subject to subject and also on the portion of the heart that was being imaged. Echocardiography may be superior to ECG in determining points in the cardiac cycle when the heart is relatively stationary and can potentially provide more optimal triggering information for cardiac computed tomography or magnetic resonance imaging.

Mesh:

Year:  2005        PMID: 16239655     DOI: 10.7863/jum.2005.24.11.1519

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  10 in total

1.  An Adaptive Seismocardiography (SCG)-ECG Multimodal Framework for Cardiac Gating Using Artificial Neural Networks.

Authors:  Jingting Yao; S Tridandapani; W F Auffermann; C A Wick; P T Bhatti
Journal:  IEEE J Transl Eng Health Med       Date:  2018-10-08       Impact factor: 3.316

2.  Characterization of cardiac quiescence from retrospective cardiac computed tomography using a correlation-based phase-to-phase deviation measure.

Authors:  Carson A Wick; James H McClellan; Chesnal D Arepalli; William F Auffermann; Travis S Henry; Faisal Khosa; Adam M Coy; Srini Tridandapani
Journal:  Med Phys       Date:  2015-02       Impact factor: 4.071

3.  Detection of quiescent cardiac phases in echocardiography data using nonlinear filtering and boundary detection techniques.

Authors:  Lakshminarayan Ravichandran; Carson A Wick; James H McClellan; Tian Liu; Srini Tridandapani
Journal:  J Digit Imaging       Date:  2014-10       Impact factor: 4.056

4.  Seismocardiography-Based Cardiac Computed Tomography Gating Using Patient-Specific Template Identification and Detection.

Authors:  Jingting Yao; Srini Tridandapani; Carson A Wick; Pamela T Bhatti
Journal:  IEEE J Transl Eng Health Med       Date:  2017-07-07       Impact factor: 3.316

5.  A trimodal system for the acquisition of synchronous echocardiography, electrocardiography, and seismocardiography data.

Authors:  Carson A Wick; Jin-Jyh Su; Oliver Brand; James H McClellan; Pamela T Bhatti; Srini Tridandapani
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

6.  Echocardiography as an indication of continuous-time cardiac quiescence.

Authors:  C A Wick; W F Auffermann; A J Shah; O T Inan; P T Bhatti; S Tridandapani
Journal:  Phys Med Biol       Date:  2016-06-30       Impact factor: 3.609

7.  Detection of quiescent phases in echocardiography data using non-linear filtering and boundary detection.

Authors:  Lakshminarayan Ravichandran; Carson A Wick; Srini Tridandapani
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

8.  An active contour based method for analyzing cardiac quiescence from echocardiography.

Authors:  Carson A Wick; James H McClellan; Lakshminarayan Ravichandran; Srini Tridandapani
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

9.  Detection of Cardiac Quiescence from B-Mode Echocardiography Using a Correlation-Based Frame-to-Frame Deviation Measure.

Authors:  Carson A Wick; James H McClellan; Lakshminarayan Ravichandran; Srini Tridandapani
Journal:  IEEE J Transl Eng Health Med       Date:  2013-11-19       Impact factor: 3.316

10.  A system for seismocardiography-based identification of quiescent heart phases: implications for cardiac imaging.

Authors:  Carson A Wick; Jin-Jyh Su; James H McClellan; Oliver Brand; Pamela T Bhatti; Ashley L Buice; Arthur E Stillman; Xiangyang Tang; Srini Tridandapani
Journal:  IEEE Trans Inf Technol Biomed       Date:  2012-05-07
  10 in total

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