• Title/Summary/Keyword: color kinesis

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Tracking Regional Left Ventricular Wall Motion With Color Kinesis in Echocardiography (심초음파에서 국소 좌심실벽 운동 추적을 위한 Color Kinesis 구현에 관한 연구)

  • Shin, D.K.;Kim, D.Y.;Choi, K.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.11
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    • pp.579-582
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    • 1997
  • The two dimnesional echocardiography is widely used to evaluate regional wall motion abnormaility, because of its abilities to depict left ventricluar wall motion. A new method, color kinesis is a technology or echocardiographic assessment of left ventricular wall motion. In this paper, we proposed a algorithm or color kinesis which is based on acoustic quantification and automatically detects endocardial motion during systole on a frame-by-frame basis. The echocardiograms were obtained in the short-axis views in normal subjects. Automated edge detection and endocardial contour tracing algorithm was applied to each frames, quantitative analysis based on segmentation was performed, and pre-defined color overlays superimposed on the gray scale images. Segmental analysis of color kinesis provided automated, quantitative diagnosis of regional wall motion abnormality.

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A Study on Tracking and Quantitative Analysis of Regional Left Ventricular Wall Motion in Echocardiography (심초음파에서 국소 좌심실벽 운동 추적 및 정량적 분석에 관한 연구)

  • 신동규;김동윤;최경훈;박광훈
    • Progress in Medical Physics
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    • v.10 no.3
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    • pp.115-123
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    • 1999
  • The two dimensional echocardiography is widely used to evaluate regional wall motion abnormality, because of its abilities to depict left ventricular wall motion. A number of researches have been processed for evaluation and quantitative analysis of left ventricular wall motion functions. In this paper, we proposed an algorithm which detects automatically and analyze quantitatively endocardial wall motion during systole. The echocardiograms were obtained in the short-axis views in normal subjects. Automated edge detection and endocardial contour tracking algorithm was applied to each frames, quantitative analysis based on segmentation was performed, pre-defined color overlays superimposed on the gray scale images, and the images was animated. The proposed algorithm provided automated, quantitative diagnosis of regional wall motion abnormality.

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