Motion Tracking of Local Myocardial Tissue Using a DP+E Tracking Method on M-mode Echocardiograms

Chen, Chao; Masesako, Naoka; Ohyama, Wataru; Wakabayashi, Tetsushi; Kimura, Fumitaka; Sekioka, Kiyotsugu

doi:10.1109/icetet.2012.27

Cited by 1 publication

(7 citation statements)

References 12 publications

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“…In this method, the authors utilized a correlation-weighted mean filter and tracking stabilization with a myocardial elastic model to suppress noise effects in the velocity calculation. Myocardial motion tracking using a Dynamic Programming (DP) tracking approach is another method for stable motion tracking [10]. The authors confirmed that global optimization of evaluation function using DP provides more accurate and stable tracking results than that found by the accumulation of instantaneous velocity.…”

Section: Introductionmentioning

confidence: 85%

“…This paper introduces tracking stabilization using a Myocardial Elastic (ME) model for a DP-based tracking method. This article is a comprehensive extension of our previous brief reports [11]- [12].…”

Section: Introductionmentioning

confidence: 86%

“…The method consists of two main stages, as shown in Figure 2. In the first stage, the velocity field in the myocardium is estimated and the correlation-weighted mean filter was applied to suppress noise effects [10]. Next, in the motion-tracking stage, the instantaneous displacement of a set of tracking points is calculated from the estimated velocity field and the DP tracking method with the ME-model tracks the motion of the tracking points.…”

Section: Myocardial Motion Trackingmentioning

confidence: 99%

“…The details of the acquisition system are described in [10]. We obtain a discrete Doppler signal consisting of a sine component and a cosine component represented by a complex expression as follows: where and are the distance from the ultrasonic transducer to i-th sampling point and the time when the k-th ultrasonic plus is transmitted, respectively.…”

Section: Acquisition System For M-mode Ultrasonic Doppler Signalmentioning

confidence: 99%

“…The instantaneous velocity of each sampling point is first derived from the discrete Doppler signal in the same way used in our former method [10].…”

Section: Velocity Estimation For Myocardiummentioning

confidence: 99%

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

Chen¹,

Ohyama²,

Wakabayashi³

et al. 2014

IJCA

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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.

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Section: Introductionmentioning

confidence: 85%

Section: Introductionmentioning

confidence: 86%

Section: Myocardial Motion Trackingmentioning

confidence: 99%

Section: Acquisition System For M-mode Ultrasonic Doppler Signalmentioning

confidence: 99%

“…The instantaneous velocity of each sampling point is first derived from the discrete Doppler signal in the same way used in our former method [10].…”

Section: Velocity Estimation For Myocardiummentioning

confidence: 99%

See 3 more Smart Citations