DKI (弥散峰度成像) 英文PPT简介.ppt
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1、Diffusional Kurtosis Imaging DKIContents DWI(diffusion weighted imaging)DTI(diffusion tensor imaging)DKI(diffusion kurtosis imaging)DWI原理MR图像的信号 组织T1、T2驰豫时间、H1的密度、分子弥散运动DWI图像 利用扩散敏感梯度脉冲将水分子弥散效应扩大,来研究不同组织中水分子扩散运动的差异 DWI评估弥散的参数 通过两个以上不同弥散敏感梯度值(b值)的弥散加权象,可计算出弥散敏感梯度方向上水分子的表观弥散系数(apparent diffusion coeff
2、icient ADC)ADC=In(S低/S高)/(b高-b低)弥散敏感系数(b)值=r22g2(-/3)b 值的取值范围为010 000s/mm2,较大的b 值具有较大的弥散权重,对水分子的弥散运动越敏感,并引起较大的信号下降,但b 值越大,图像信噪比也相应下降,如果b 值太小,易受T2 加权的影像,产生所谓的T2 透射效应(T2 shine through effect),一般来说用大b 值差的图像测得的ADC 值较准确,故侧ADC 值时宜选较高b 值和较大的b 值差 ADCADC反映了水分子的扩散运动的能力反映了水分子的扩散运动的能力反映了水分子的扩散运动的能力反映了水分子的扩散运动的能
3、力,指水分子单位时间指水分子单位时间指水分子单位时间指水分子单位时间内扩散运动的范围,越高代表水分子扩散能力越强内扩散运动的范围,越高代表水分子扩散能力越强内扩散运动的范围,越高代表水分子扩散能力越强内扩散运动的范围,越高代表水分子扩散能力越强。均质介质中可以水分子的自由运动为各向同性,即在各个方向上的弥散强度大小一致,弥散张量D描述为球形,沿磁共振的三个主坐标的特征值为 1=2=3 在脑白质中由于髓鞘的阻挡,在脑白质中由于髓鞘的阻挡,水分子的弥散被限制在与纤维水分子的弥散被限制在与纤维走行一致的方向上,具有较高走行一致的方向上,具有较高的各向异性,此时弥散张量可的各向异性,此时弥散张量可表示
4、为椭球形,其特征值表示为椭球形,其特征值 1 12 23 3,最大特征值对应的,最大特征值对应的方向与经过该体素的纤维束走方向与经过该体素的纤维束走行平行行平行defects of DTIConventional DTI fails to fully utilize the MR diffusion measurements that are inherent to tissue microstructure.DTI computes apparent diffusivity based on the assumption that diffusion weighted(DW)MR signa
5、l has a monoexponential dependence on the diffusion factor(b-value).DTI implicitly assumes that water molecule diffusion occurs in a free and unrestricted environment with a Gaussian distribution of diffusion displacement.defects of DTI In biological tissue,complex cellular microstructures make wate
6、r diffusion a highly hindered or restricted process.Non-monoexponential decays are experimentally observed in both white matter and gray matter.Moreover,the simplified description of the diffusion process in vivo by a 2nd-order 3D diffusivity tensor prevents DTI from being truly effective in charact
7、erizing relatively isotropic tissue such as GM.Even in WM,the DTI model can fail if the tissue contains substantial crossing or diverging fibers.defects of DTIAs a result,DTI quantitation is b-value dependent and DTI fails to fully utilize the diffusion measurements that are inherent to tissue micro
8、structure.KurtosisKurtosis here refers to the excess kurtosis that is the normalized and standardized fourth central moment of the water displacement distribution.It is a dimensionless measure that quantifies the deviation of the water diffusion displacement profile from the Gaussian distribution of
9、 unrestricted diffusion,providing a measure of the degree of diffusion hindrance or restriction.fourth central moment:四阶中心距,主要用来衡量随机分布变量的分布在均值附近的陡峭程度Since the deviation from Gaussian behavior is governed by the complexity of the tissue within which the water is diffusing,this excess diffusional kurt
10、osis can be regarded as a measure of a tissues degree of structure.Other advantages of DKIMean kurtosis(MK),the average apparent kurtosis along all diffusion gradient encoding directions,has been measured and demonstrated to offer an improved sensitivity in detecting developmental and pathological c
11、hanges in neural tissues as compared to conventional DTI.In addition,directional kurtosis analysis has been formulated to reveal directionally specific information,such as the water diffusion kurtoses along the direction parallel or perpendicular to the principle water diffusion direction as determi
12、ned by the 2nd-order diffusion tensorDKI provides a higher-order description of restricted water diffusion process by a 2nd-order 3D diffusivity tensor(DT as in conventional DTI)together with a 4th-order 3D kurtosis tensor(KT).ConditionsThe method is based on the same type of pulse sequences employe
13、d for conventional diffusion-weighted imaging(DWI),but the required b values are somewhat larger than those usually used to measure diffusion coefficients.In the brain,b values of about 2000 s/mm2 are sufficient.At least 15 non-collinear and non-coplanar directions are required to construct KT.DKI v
14、s q-space imaging techniquesDKI has a close relationship to q-space imaging techniques.q-space imaging methods have indeed recently been employed to estimate diffusional kurtosis.The principal difference between them is that q-space imaging seeks to estimate the full diffusion displacement probabili
15、ty distribution rather than just the kurtosis.As a consequence,q-space imaging is more demanding in terms of imaging time and gradient strengths.Measuring the diffusional kurtosis requires only modest increases in b valuesAnd DKI is less demanding in terms of hardware requirements and postprocessing
16、 effort.Kurtosis tensor(KT)derived parametersMK(mean kurtosis):MK is a measure of the overall kurtosis.It does not have any directional specificity.MK 的大小取决于感兴趣区内组织的结构复杂程度,结构越复杂非正态分布水分子扩散受限越显著,MK 也即越大K(Axial kurtosis)and K(Radial kurtosis):can be defined as the kurtosis parallel and perpendicular to
17、 the principle diffusion eigenvector(e1)K越大表明在该方向非正态分布水分子扩散受限越明显,反之则表明扩散受限越弱FAK (fractional anisotropy of kurtosis)Similar to FA in DTI,the anisotropy of directional kurtosis can be conveniently defined as FAK KA 越小即表示越趋于各向同性扩散;若组织结构越紧密越规则,KA 越大DKI parametric mapsDKI parametric mapsTypical DKI-deriv
18、ed parametric maps from a single slice of a)in vivo,b)formalin-fixed adult rat brains and c)a normal human subject(male,44 years old).Axial diffusivity(/),radial diffusivity(),mean diffusivity(MD),axial kurtosis(K/),radial kurtosis(K),mean kurtosis(MK),fractional anisotropy(FA),directionally encoded
19、 colour FA(DEC-FA)and fractional anisotropy of kurtosis(FAK)maps are computed from DKI model.DKI parametric mapsFor(a),raw DWIs were acquired by SE EPI with TR/TE=3000/30.3ms,/=5/17ms,slice thickness=1mm,FOV=3030mm2,data matrix=128128(zero filled to 256256),NEX=4,6 b-values(0.0,0.5,1.0,1.5,2.0 and 2
20、.5ms/m2)and along 30 directions using 7T scannerDKI parametric mapsFor(b),raw DWIs were acquired with the same parameters as those for in vivo except TE=34.3ms,=9ms and b-values of 0.0,1.0,2.0,3.0,4.0 and 5.0ms/m2.A larger b-value range was used in ex vivo experiment due to the generally lower diffu
21、sivities.DKI parametric maps For(c),raw DWIs were acquired by SE EPI with TR/TE=2300/109ms,slice thickness=2mm,FOV=256256mm2,data matrix=128128,NEX=2,6 b-values(0.0,0.5,1.0,1.5,2.0 and 2.5ms/m2)and along 30 directions using a 3T Siemens scanner DKI parametric maps Higher MK is found in WM,indicating
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