發(fā)布時間：2018-03-12 10:32

  本文選題：磁共振前列腺分割　切入點：圖像配準(zhǔn)　出處：《南方醫(yī)科大學(xué)學(xué)報》2017年03期 　論文類型：期刊論文

【摘要】：目的為了有效的利用圖譜的先驗信息和待分割圖像的灰度信息,提出一種新的橢球先驗約束下的前列腺MR圖像多圖譜分割算法。方法將多圖譜分割與橢球形狀先驗相結(jié)合,在多圖譜分割過程中引入橢球先驗知識,針對橢球先驗約束下的前列腺感興趣區(qū)域進(jìn)行圖譜選擇,大大避免了前列腺周圍組織與器官對圖譜選擇造成的干擾;其次,在圖譜融合過程中加入橢球先驗項進(jìn)行約束,對通過配準(zhǔn)技術(shù)引入的前列腺圖譜形狀先驗進(jìn)行校正和補償,有效避免了由配準(zhǔn)誤差引起的錯誤分割的情況。結(jié)果對50例前列腺MR圖像進(jìn)行分割實驗,實驗結(jié)果表明該算法對前列腺數(shù)據(jù)的分割精度均在80%以上,平均精度提高到了88.12%。結(jié)論橢球先驗約束的前列腺MR圖像多圖譜分割算法穩(wěn)定有效,分割結(jié)果精確度高。
[Abstract]:Objective to effectively utilize the priori information of the map and the gray level information of the image to be segmented, a new multi-map segmentation algorithm for prostate Mr images with ellipsoidal priori constraints is proposed, which combines multi-spectrum segmentation with a priori ellipsoid shape. The priori knowledge of ellipsoid is introduced in the process of multi-spectrum segmentation to select the region of interest of prostate under the restriction of ellipsoid priori, which greatly avoids the interference of tissues and organs around the prostate to the selection of the map. A priori term of ellipsoid is added in the process of map fusion to correct and compensate the priori of prostate map shape introduced by registration technique. Results 50 cases of prostate Mr images were segmented by experiments. The experimental results show that the accuracy of the algorithm for prostate data segmentation is more than 80%. Conclusion the multi-map segmentation algorithm with ellipsoid priori constraint is stable and effective, and the segmentation accuracy is high.
【作者單位】： 南方醫(yī)科大學(xué)生物醫(yī)學(xué)工程學(xué)院;廣東省醫(yī)學(xué)圖像處理重點實驗室;
【基金】：國家自然科學(xué)基金(61471188) 廣東省科技計劃項目(2015B010106008,2015B01013 1011,2014B030301042) 廣東省自然科學(xué)基金(2014A030313316,2016A030313574)~~
【分類號】：R445.2;R697.3;TP391.41
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本文編號：1601172