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      1. 當前位置:首頁 > 智慧健康列表 > 轉化醫學和循證醫學 > 詳細信息
        Snake 法和GVF snake 法進行頸動脈超聲圖像分割的比較
        來源: | 作者: | 發布時間:2014-4-15 18:15:40

        Snake 法和GVF snake 法進行頸動脈超聲圖像分割的比較
        金嬌英1,楊鑫2,邱武1,丁明躍1
        基金項目:高等學校博士學科點專項科研基金(20070487056),中國博士后科研基金(20100480906)
        作者簡介:金嬌英(1989-),女,本科,醫學圖像處理
        通信聯系人:丁明躍(1961-),男,教授,醫學影像,三維醫學超聲成像,圖像導引手術與治療,電阻抗成像技術研究,計算機視覺,三維重建,航跡規劃,圖像天候模型研究.
        (1. 華中科技大學生命科學與技術學院,武漢 430074;2. 華中科技大學模式識別與人工智能研究所,武漢 430074)
        摘要:目的:針對頸動脈超聲圖像,分析比較運用經典Snake 和GVF snake 確定頸動脈的內外輪廓邊界,探討適合頸動脈超聲圖像分割的方法。方法:將經典Snake 和GVF snake 作為分割工具,對38 組頸動脈超聲圖像進行內外輪廓分割,實驗過程中,根據分割的結果,不斷地對兩個模型的參數進行調整,使得兩種分割方法的效果分別達到最優,最后比較兩種分割方法的分割結果,選擇收斂速度快、分割效果準確的方法。結果:當初始化輪廓非常貼近目標輪廓時,經典Snake 和GVF snake 均能獲得較好的分割結果,但GVF snake 的收斂速度快于經典Snake;當初始化輪廓距離目標輪廓較遠時,經典Snake 分割失敗,而GVF snake仍可以得到準確的收斂結果。結論:對于簡單的圖像,經典Snake 和GVF snake 均能得到較好的分割結果;對于較復雜及邊界凹陷的圖像,GVF snake 的分割效果明顯優于經典Snake。
        關鍵詞:圖像分割; Snake; GVF snake; 頸動脈超聲圖
        中圖分類號:TP391.41
        The comparison between the Snake and the GVF Snake in carotid ultrasound image segmentation
        Jin Jiaoying1, Yang Xin2, Qiu Wu1, Ding mingyue1
        (1. School of Life Science and Technology,Huazhong University of Science and Technology,Wuhan 430074;2. Institute of Pattern Recognition and Artificial Intelligence ,Huazhong University of Science and Technology, Wuhan 430074)

         Abstract: Objective Traditional snake and GVF snake are used to determine the internal and external contours of carotid ultrasound images. Compared the results of these two methods, an effective method is set up for the carotid ultrasound images segmentation. Methods Traditional snake and GVF snake were used to segment 38 groups of carotid ultrasound images. The parameters of these two models were adjusted to get optimal segmentation results. The segmentation results were compared. Results Both the traditional snake and the GVF snake resulted in satisfactory results when the initial contours
        were close to the contours of the objects, but the convergence rate of the GVF snake was faster than that of the traditional snake. The GVF snake also brought satisfactory results when the initial contours were far from the contours of the objects while the traditional snake failed. Conclusion Both the traditional snake and the GVF snake can result in satisfactory results in simple images segmentation. The GVF snake does better than the traditional snake in the segmentation of complex images with concaves.
        Key words: image segmentation; snake; GVF snake; carotid ultrasound images

        奇米色8888