基于BSS从多角度X射线投影分离聚焦层的DBT重建  

Digital Breast Tomography Reconstruction Based on Focusing Layer Separation from Multi-Angle X Ray Projections Using Blind Source Separation

作　　者：喻春雨[1] 刘明睿 孙宁宁 Yu Chunyu;Liu Mingrui;Sun Ningning(College of Electronic and Optical Engineering&College of Flecible Electronics(Future Technology),Nanjing University of Posts and Telecommunications,Nanjing 210023,Jiangsu,China;School of Electrical and Computer Engineering,University of Ilinois Urbana-Champaign,Urbana 61801,Illinois,USA;School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China)

机构地区：[1]南京邮电大学电子与光学工程学院、柔性电子(未来技术)学院,江苏南京210023 [2]美国伊利诺伊大学厄巴纳-香槟分校电子与计算机工程学院,伊利诺伊厄巴纳61801,美国 [3]北京邮电大学电子工程学院,北京100876

出　　处：《光学学报》2024年第8期169-181,共13页Acta Optica Sinica

基　　金：江苏省自然科学基金(BK20140876);江苏省高校自然科学研究计划项目(TJ212031);江苏省教育厅留学基金(JS-2013-199)。

摘　　要：提出一种基于盲源分离(BSS)从多角度投影提取出任意深度聚焦层的数字乳腺层析合成摄影(DBT)重建算法。首先,通过DBT成像设备采集乳腺的多角度投影,并对投影进行校正、对数变换等预处理工作;然后以中心投影为基准,根据成像几何将多角度投影通过位移聚焦到所选的重建深度z处;最后,将位移后的多角度投影视为由一个聚焦层内信息和若干层外信息构成的线性组合,进而通过BSS将聚焦层信息分离出来,由此快速重建出乳腺厚度范围内任意深度z处的层面。以中心投影为参考,将位移叠加(SAA)法、滤波反投影(FBP)法、最大似然期望最大化(MLEM)3种当前DBT重建的主要算法与所提重建算法进行比较,4种算法对原投影的噪声污染的改善程度分别为13.4%、18.8%、88.5%、73.6%,图像对比度分别下降83.7%、81.4%、74.6%、10.7%,与中心投影的特征相似性分别为0.841、0.866、0.861、0.886,结构相似性分别为0.596、0.594、0.628、0.787,伪影扩散平均值分别为0.571、0.254、0.189、0.146。此外所提算法的重建速度小于SAA、FBP,但比采用2次迭代的MLEM高56.0%,因此所提算法在降低噪声、保持细节、抑制伪影、重建速度方面的综合性能优秀,且随着BSS技术和计算机硬件水平的快速发展而不断提高其分离重建性能,因此所提算法是一种实用性强、极具发展潜力的DBT重建算法。Objective Breast cancer ranks first in female malignant tumors and seriously threatens the life and health of women.However,early diagnosis and treatment can effectively prolong the life of patients.Digital breast tomosynthesis(DBT)is a new three-dimensional imaging technology employed for breast disease diagnosis and scans within a small angle range and reconstructs breast tomography images by collecting a few low-dose projections at equal angle intervals.Compared to computed tomography(CT),it is more suitable for conducting imaging on special human parts such as the breasts that are not easy to scan at large angles and feature low-dose and low-cost imaging.Hologic Selenia Dimensions is a DBT product first certified by the Food and Drug Administration(FDA)in 2011,followed by DBT products from several companies such as GE,Siemens,and Fujifilm.The reconstruction method of DBT plays a vital role in its imaging quality,and currently,the main methods are based on shift and add(SAA)reconstruction,and analytic reconstruction(AR)and iterative reconstruction(IR)methods derived from electronic CT.Among them,SAA calculates the mean of multi-angle projection based on the displacement shift to enhance the information of the focusing plane and weaken the information of the non-focusing plane.However,it is rarely utilized due to the severe out-of-plane interference in the reconstrution slice.Filtered back projection(FBP)is a representative method of the AR class,which makes image details clearer by projection filtering.In particular,the fast reconstruction speed and stable numerical values make it suitable for medical diagnosis.Therefore,it is currently selected as a commercial method.However,FBP can cause serious artifacts and noise in limitedangle scanning DBT,which is unfavorable for breast disease diagnosis.The maximum likelihood expectation maximization(MLEM)method is considered the best reconstruction method in the IR class,providing a good balance between the highand low-frequency parts of the image.However,the IR metho

关 键 词：X射线光学 数字乳腺层析合成摄影 盲源分离 伪影扩散函数 聚焦层重建 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]