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Semi-Automatic Noninvasive Tracking of Local Myocardial Motion using Dynamic Programming based Elastic Model

by Chen Chao, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 101 - Number 5
Year of Publication: 2014
Authors: Chen Chao, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura
10.5120/17686-8546

Chen Chao, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura . Semi-Automatic Noninvasive Tracking of Local Myocardial Motion using Dynamic Programming based Elastic Model. International Journal of Computer Applications. 101, 5 ( September 2014), 32-38. DOI=10.5120/17686-8546

@article{ 10.5120/17686-8546,
author = { Chen Chao, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura },
title = { Semi-Automatic Noninvasive Tracking of Local Myocardial Motion using Dynamic Programming based Elastic Model },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 101 },
number = { 5 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 32-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume101/number5/17686-8546/ },
doi = { 10.5120/17686-8546 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:30:56.187744+05:30
%A Chen Chao
%A Wataru Ohyama
%A Tetsushi Wakabayashi
%A Fumitaka Kimura
%T Semi-Automatic Noninvasive Tracking of Local Myocardial Motion using Dynamic Programming based Elastic Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 101
%N 5
%P 32-38
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A semi-automatic motion-tracking method for local myocardial tissue on M-mode echocardiograms is proposed in this paper. The proposed method is applicable to estimating myocardial performance in clinics. The M-mode echocardiogram is a type of echocardiogram used in clinics to measure diagnostic indexes. Such as the thickening and thinning of myocardial muscle layers. In order to measure such indexes, doctors are required to manually track myocardial motion. However, tracking myocardial motion by hand is a very tedious and time-consuming process. The proposed method for tracking the motion of myocardial tissue is based on Dynamic Programming (DP). A Myocardial Elastic (ME) Model is employed to reduce the accumulation of velocity error. The experiment has 3 parts: visual inspection, statistical estimation and the analysis of systematic error. The results of these three evaluations indicate that the proposed method can provide more accurate motion tracking and can replace the manual tracking method for doctors in clinics.

References
  1. Chunke Y, Terada K, Oe S: Motion analysis of echocardiograph using optical flow method. Proc IEEE Int. Conf. Systems, Man, and Cyberpeticsl:672-677,1996
  2. Baraldi P, Sarti A, Lamberti C et al: Evaluation of differential optical flow techniques on synthesized echo images. IEEE Trans Biomedical Engineering 43(3):259-272,1996
  3. Suhling M, Arigovindan M, Jansen C et al: Myocardial motion analysis from B-mode echocardiograms. IEEE Trans Image Processing 14(4):525-536,2005
  4. Hokanson DE, Monzersky DJ, Sumner SD et al: A phase-locked echo tracking system for recording arterial diameter changes in vivo. J ApplPhys 32(5):728-733, 1972
  5. Kanai H, Sato M, Koiwa Y et al: Transcutaneous measurement and spectrum analysis of heart wallvibrations. IEEE Trans Ultrasonics, Ferroelectrics, and Frequency Control 46(5):791-810, 1996
  6. Kanai H, Hasegawa H, Chubachi N et al: Noninvasive evaluation of local myocardial thickening and its color-coded imaging. IEEE Trans Ultrasonics, Ferroelectrics, and Frequency Control 44(4):752-768,1997
  7. Kanai H, Koiwa Y, Zhang J: Real-time mesurements of local myocardium motion and arterial wall thickenings. IEEE Trans Ultrasonics, Ferroelectrics, and Frequency Control 46(5):1229-1241,1999
  8. Tsuruoka S, Kunisada T, Ohyama W et al: Automatic tracking of regional myocardium from ultrasonic rf echo signals using correlation method weighted with confidence. Proc 10th International Conference on Biomedical Engineering: 149-150,2000
  9. Ohyama W, Wakabayashi T, Kimura F et al: Automatic tracking of local myocardial motion by correlation weighted velocity method. Proc. 16th International Conference on Pattern Recognition 1:711-714, 2002
  10. Chao C, Ohyama W, Wakabayashi T, Kimura F, Sekioka, K: Motion Tracking of Local Myocardial Tissue Using a DP Tracking Method on M-mode Echocardiograms. Medical Imaging Technology. Vol. 28, No. 4, pp. 271-278 (Oct. 2010)
  11. Chao C, Maesako N, Ohyama W, and Wakabayashi T, Sekioka K: Motion Tracking of Local Myocardial Tissue Using DP+E Tracking Method on M-mode Echocardiogram: Fifth International Conference on Emerging Traends in Engineering&Technology (Nov,2012 Himeji, Japan)
  12. Chao C, Maesako N, Ohyama W, Wakabayashi T, Kimura F: Tracking of Local Myocardial Motion on M-Mode Echocardiogram by DP-based Elastic Model" Proceedings of the 14th IASTED International Conference on Signal and Image Processing (SIP 2012),786-031(August2012,Honolulu),
  13. Da-Chuan C, Xiaoyi J: Detection of Arterial Wall in Sonographic Artery Images Using Dual Dynamic Programming. Information Technology in biomedicine, IEEE Transactions in Biomedicine. Vol. 16 Issue: 6, pp. 792-799, Nov. 2008
  14. Aditi R, Shamik S, Jayanta M and Arun K. M: State-Based modeling and Object Extraction From Echocardiogram Video. Information Technology in biomedicine, IEEE Transactions in Biomedicine. Vol. 12, Issue: 3, pp. 366-376, May 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Myocardial Motion Tracking Ultrasonic Imaging M-mode Echocardiogram Dynamic Programming Elastic Model

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