现代电子技术
現代電子技術
현대전자기술
MODERN ELECTRONICS TECHNIQUE
2014年
22期
14-16
,共3页
全方向M型心动图%边缘检测%蚁群算法%更新策略
全方嚮M型心動圖%邊緣檢測%蟻群算法%更新策略
전방향M형심동도%변연검측%의군산법%경신책략
omni-directional M-mode echocardiography%edge detection%ant colony algorithm%update strategy
为了解决传统边缘检测算法对全方向M型心动图检测效果差的问题,根据基于蚁群算法边缘检测的思想,提出一种基于改进的蚁群算法的边缘检测算法。根据心动图间接来源于CT图的原理,一幅心动图中包含目标、背景、边界和噪声等内容,因此采用传统的边缘检测算法的效果并不理想。这里在传统蚁群算法边缘检测的基础上,根据心动图的特点,采取改进的转移规则和信息素更新策略,以提高检测精度和适应性。再逐步细化,使用蚂蚁算法进行详细的检测,得到最佳的运动曲线。实验结果表明,该算法可以获得精确的运动曲线,其结果能够比传统的方法获得更丰富更真实的心动图运动细节信息,为医生的诊断提供更多信息。
為瞭解決傳統邊緣檢測算法對全方嚮M型心動圖檢測效果差的問題,根據基于蟻群算法邊緣檢測的思想,提齣一種基于改進的蟻群算法的邊緣檢測算法。根據心動圖間接來源于CT圖的原理,一幅心動圖中包含目標、揹景、邊界和譟聲等內容,因此採用傳統的邊緣檢測算法的效果併不理想。這裏在傳統蟻群算法邊緣檢測的基礎上,根據心動圖的特點,採取改進的轉移規則和信息素更新策略,以提高檢測精度和適應性。再逐步細化,使用螞蟻算法進行詳細的檢測,得到最佳的運動麯線。實驗結果錶明,該算法可以穫得精確的運動麯線,其結果能夠比傳統的方法穫得更豐富更真實的心動圖運動細節信息,為醫生的診斷提供更多信息。
위료해결전통변연검측산법대전방향M형심동도검측효과차적문제,근거기우의군산법변연검측적사상,제출일충기우개진적의군산법적변연검측산법。근거심동도간접래원우CT도적원리,일폭심동도중포함목표、배경、변계화조성등내용,인차채용전통적변연검측산법적효과병불이상。저리재전통의군산법변연검측적기출상,근거심동도적특점,채취개진적전이규칙화신식소경신책략,이제고검측정도화괄응성。재축보세화,사용마의산법진행상세적검측,득도최가적운동곡선。실험결과표명,해산법가이획득정학적운동곡선,기결과능구비전통적방법획득경봉부경진실적심동도운동세절신식,위의생적진단제공경다신식。
In order to solve the problem that the traditional edge detection algorithm has poor detection effect of omni-di-rectional M-mode echocardiography,an edge detection algorithm based on the improved ant colony algorithm is presented according to the idea of edge detection based on the ant colony algorithm. According to the principle that the echocardiography comes indirect-ly from CT figure,that is,an echocardiography contains the contents of target,background,boundary,noise,etc.,it is point-ed out that the detection effect of traditional edge detection algorithm for omni-directional M-mode echocardiography is not ex-pected. According to the characteristics of echocardiography,the improved transition rule and pheromone update strategy was taken to improve the detection precision and adaptability. The best motion curves were obtained by gradually thinning and de-tailed edge detection with the ant algorithm. The experimental results show that the algorithm can get the more accurate motion curve and more actual and detail information than the traditional method. Therefore,the algorithm can provide more information for the doctor’s diagnosis.