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时间:2017-11-25
《带预处理的双树复小波医学超声图像去斑》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、万方数据第3l卷第6期2010年6月仪器仪表学报ChineseJournalofScienfificInstrumentV01.31No.6Jun.2010带预处理的双树复小波医学超声图像去斑侯涛,汪源源(复旦大学电子工程系上海200433)摘要:针对现有方法在去除医学超声图像斑点噪声上的局限,提出一种带预处理的双树复小波变换的去斑算法。先从超声VQ图像中提取实部,并从中“盲估计”出系统的点扩散函数;然后通过维纳滤波,估计组织反射率图像;接着对该图像作同态变换将乘性噪声转化为加性,并进行噪声高斯化处理;最后采用双树复小波变换和双变量收缩函数,获得去斑后的超
2、声图像。分别对同质和边界区域的超声仿真图像、实际超声血流图像采用本文方法和现有方法进行比较实验,结果表明,采用本文方法可将超声图像的斑点信噪比和边界保留指数平均提高2.066和4.091倍,归一化均方差平均降低3.831倍,整体性能指标优于现有方法。关键词:医学超声图像;斑点噪声;维纳滤波;双树复小波变换;双变量收缩中图分类号:TP391文献标识码:A国家标准学科分类代码:510.4050Medicalultrasoundimagedespecklingbasedondual—treecomplexwavelettransformwithpreproces
3、singHouTao,WangYuanyuan(DepartmentofElectronicEngineering,FudanUniversity,Shanghai200433,China)Abstract:Aimingattheinherentlimitofexistingmethodsformedicalultrasoundimagedespeckling,anovelalgo-rithmisproposedbasedondual-treecomplexwavelettransform(DTCWT)withpreprocessingprocedure.
4、Firstly,therealpartisextractedfromtheinphase/quadrature(I/Q)ultrasoundimage,andthepointspreadfunction(PSF)isblindlyestimatedfromtherealimage.Then,theWienerfilteringisimplementedtoestimatethetissuere—flectivityimage.Secondly,thehomomorphytransformisutilizedtoturnmuhiplicativenoisei
5、ntoadditiveone,andthenoiseisprocessedwith‘‘Gaussianization”.Lastly,DTCWTandbivariateshrinkagefunctionareadopted,andthedespeckledimageisobtained.Comparisonexperimentswerecarriedoutonhomogenousandheterogeneousre—sionsofsimulatedultrasoundimages,andalsooninvivoultrasoundbloodimages.E
6、xperimentresultsshowthattheproposedmethodimprovesthespeckle—signal—to-noiseratio(S-SNR)andtheedgepreservationindex(FOM)oftheI/Qimagesbyanaveragefactorsof2.066and4.091,respectively.Meanwhile,theproposedmethodalsoreducesthenormalizedmean-squareerror(NMSE)byanaveragefactorof3.831.The
7、simulationandinvivoresultsindi-carethattheproposedmethodhasabetteroverallperformancethanexistingmethods.Keywords:medicalultrasoundimage;specklenoise;Wienerfiltering;DTCWT;bivariateshrinkageⅧ言毒:差蠢蓉譬薹妻豢嚣襄鼢麓㈣斑点噪声是医学超声图像的固有现象。成像过程但是,由于组织内部高密度的尺度小于声脉冲采样容积收稿El期:2009-09ReceivedDate:2009-
8、09·基金项目:国家重点基础研究规划基金(2006CB705707
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