本文選題：血管增強 + Hessian矩陣��； 參考：《計算機工程與應(yīng)用》2016年15期

【摘要】：Sato的濾波器可以有效地濾除3D數(shù)據(jù)中的面狀結(jié)構(gòu)和球狀結(jié)構(gòu),但是對于背景信息濾除效果不佳�；赟ato的血管增強原理,提出了一種改進算法。新算法將背景像素的Hessian矩陣特征值也考慮到濾波器的設(shè)計中,增強了濾波器濾除背景像素的功能。基于臨床頸動脈的CTA數(shù)據(jù)和腦部血管MRA數(shù)據(jù),做了實驗分析。實驗結(jié)果表明,在保留原算法優(yōu)點的情況下,背景內(nèi)容被大幅度移除,圖像對比度得到進一步提高,血管結(jié)構(gòu)更加清晰可辨。
[Abstract]:Sato filter can effectively filter out the surface structure and spherical structure in 3D data, but the filtering effect is not good for background information. Based on the principle of Sato, an improved algorithm is proposed. The new algorithm takes the Hessian matrix eigenvalue of background pixels into account in the design of the filter and enhances the filter's function of filtering background pixels. Based on CTA data of clinical carotid artery and MRA data of cerebral vessels, experimental analysis was made. The experimental results show that, with the advantages of the original algorithm, the background content is removed greatly, the image contrast is further improved, and the vascular structure is more clearly discernible.
【作者單位】： 湖南大學電氣與信息工程學院;中國科學院深圳先進技術(shù)研究院;
【基金】：國家自然科學基金重點項目(No.61433016) 湖南省科技計劃項目(No.2014FJ3075)
【分類號】：R816.2;TP391.41
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本文編號：2105518