CAJ | 학술논문

传统上,在全方向M型心动图上提取心脏运动参数采用直接换算的方法,然而该方法会使测量噪声放大,无法获得高精度的结果. 在之前多尺度Contourlet变换算法提取心动图运动曲线的基础之上,考虑心脏运动与超声运动的图像特点,通过在心动图上测量相邻几个周期的相对位移情况,建立心动图运动模型,最后通过自适应渐消卡尔曼滤波算法,获得比传统算法精度更高的结果,并通过实验,计算各个算法获得结果的平滑程度,证明了论文算法比传统算法具有更高的精度.
전통상,재전방향M형심동도상제취심장운동삼수채용직접환산적방법,연이해방법회사측량조성방대,무법획득고정도적결과. 재지전다척도Contourlet변환산법제취심동도운동곡선적기출지상,고필심장운동여초성운동적도상특점,통과재심동도상측량상린궤개주기적상대위이정황,건립심동도운동모형,최후통과자괄응점소잡이만려파산법,획득비전통산법정도경고적결과,병통과실험,계산각개산법획득결과적평활정도,증명료논문산법비전통산법구유경고적정도.
The method of Omni-directional M-mode Echocardiography State Extraction is conversion directly on traditional. However, this method made the measurement noise amplification, and could not obtain an exact results. Paper measured several cycles of relative displacements on the map base on the the detection algorithm with continuous Contourlet transform. Paper considered the characteristics of cardiac motion, and modeled the echocardiography. At last, paper extracted motion state base on adaptive fading Kalman filter, and got a more accurate result. In final, paper calculated the smooth curve degree to prove and proof.