In many ultrafast imaging applications, the reduced field-of-view（r FOV） technique is often used to enhance the spatial resolution and field inhomogeneity immunity of the images. The stationary-phase characteristic ...In many ultrafast imaging applications, the reduced field-of-view（r FOV） technique is often used to enhance the spatial resolution and field inhomogeneity immunity of the images. The stationary-phase characteristic of the spatiotemporallyencoded（SPEN） method offers an inherent applicability to r FOV imaging. In this study, a flexible r FOV imaging method is presented and the superiority of the SPEN approach in r FOV imaging is demonstrated. The proposed method is validated with phantom and in vivo rat experiments, including cardiac imaging and contrast-enhanced perfusion imaging. For comparison, the echo planar imaging（EPI） experiments with orthogonal RF excitation are also performed. The results show that the signal-to-noise ratios of the images acquired by the proposed method can be higher than those obtained with the r FOV EPI. Moreover, the proposed method shows better performance in the cardiac imaging and perfusion imaging of rat kidney, and it can scan one or more regions of interest（ROIs） with high spatial resolution in a single shot. It might be a favorable solution to ultrafast imaging applications in cases with severe susceptibility heterogeneities, such as cardiac imaging and perfusion imaging. Furthermore, it might be promising in applications with separate ROIs, such as mammary and limb imaging.展开更多
A new framework for early diagnosis of prostate cancer using Diffusion-Weighted Imaging (DWI) is proposed. The proposed diagnostic approach consists of the following four steps to detect locations that are suspicious ...A new framework for early diagnosis of prostate cancer using Diffusion-Weighted Imaging (DWI) is proposed. The proposed diagnostic approach consists of the following four steps to detect locations that are suspicious for prostate cancer: 1) In the first step, we isolate the prostate from the surrounding anatomical structures based on a Maximum A Posteriori (MAP) estimate of a new log-likelihood function that accounts for the shape priori, the spatial interaction, and the current appearance of prostate tissues and its background (surrounding anatomical structures);2) In order to take into account any local deformation between the segmented prostates at different b-values that could occur during the scanning process due to local motion, a non-rigid registration algorithm is employed;3) A KNN-based classifier is used to classify the prostate into benign or malignant based on three appearance features extracted from registered images;and 4) The tumor boundaries are determined using a level set deformable model controlled by the diffusion information and the spatial interactions between the prostate voxels. Preliminary experiments on 28 patients (17 malignant and 11 benign) resulted in 100% correct classification, showing that the proposed method is a promising supplement to current technologies (biopsy-based diagnostic systems) for the early diagnosis of prostate cancer.展开更多
目的探讨动态对比增强磁共振成像(dynamic contrast-enhanced magnetic resonance imaging,DCE-MRI)定量参数联合小视野弥散加权成像在甲状腺良恶性结节鉴别中的应用价值。材料与方法收集2022年1月至2023年10月于滨州医学院附属医院诊...目的探讨动态对比增强磁共振成像(dynamic contrast-enhanced magnetic resonance imaging,DCE-MRI)定量参数联合小视野弥散加权成像在甲状腺良恶性结节鉴别中的应用价值。材料与方法收集2022年1月至2023年10月于滨州医学院附属医院诊治并经手术病理证实为甲状腺结节的患者38例(52个结节),将其分为良性结节组和恶性结节组。术前患者均行3.0 T MRI扫描,包括常规MRI、小视野弥散加权成像(b值取0、800 s/mm^(2))和DCE-MRI检查,并测量其表观弥散系数(apparent diffusion coefficient,ADC)值和DCE-MRI定量参数,包括对比剂容积转运常数(volume transport constant,K^(trans))、速率常数(rate constant,K_(ep))、血管外细胞外间隙容积分数(extravascular extracellular volume fraction,V_(e))。对甲状腺良恶性结节组的ADC、K_(ep)、V_(e)、K^(trans)采用独立样本t检验分析,以P<0.05为差异有统计学意义,后将差异有统计学意义的变量进行逐步logistic回归模型分析,得到甲状腺良恶性结节的独立预测因素,并绘制受试者工作特征(receiver operating characteristic,ROC)曲线分析ADC、K^(trans)独立诊断模型及ADC与K^(trans)联合诊断模型的诊断效能。结果良性结节组平均ADC值、K^(trans)值、K_(ep)值分别为(1.659±0.370)×10^(-3)mm^(2)/s、(0.427±0.214)min^(-1)、(0.966±0.225)min^(-1),恶性结节组平均ADC值、K^(trans)值、K_(ep)值分别为(1.182±0.195)×10^(-3)mm^(2)/s、(0.178±0.073)min^(-1)、(0.600±0.248)min^(-1)。良性结节组的ADC、K^(trans)、K_(ep)值均高于恶性结节组,差异均有统计学意义(P<0.001)。经过独立样本t检验及逐步logistic回归分析显示,ADC值和K^(trans)差异具有统计学意义(P<0.05),是鉴别甲状腺结节良恶性的独立预测因子。单独ADC值曲线下面积(area under the curve,AUC)为0.915、单独K^(trans)值AUC为0.827。ADC值与K^(trans)联合诊断模型AUC为0.973,较二者单独应用明显增高,联合诊断模型诊断效能最高。经DeLong检验,联合诊断模型与单独K^(trans)诊断差异存在统计学意义(P<0.05)。ADC值与K^(trans)联合诊断模型在鉴别甲状腺良恶性结节中敏感度为97.3%,较ADC、K^(trans)更高,特异度为84.6%,较ADC值更高。结论ADC值和K^(trans)是鉴别甲状腺良恶性结节的重要参数,两者联合诊断可提高临床诊断准确性,为术前诊断提供重要依据。展开更多
目的 比较磁共振小视野体素不相干运动扩散加权成像(reduced field of view,intravoxel incoherent motion,r-fov IVIM)及小视野常规扩散加权成像(reduced field of view,diffusion weighted imaging,r-fov DWI)模型参数预测乳腺侵润性...目的 比较磁共振小视野体素不相干运动扩散加权成像(reduced field of view,intravoxel incoherent motion,r-fov IVIM)及小视野常规扩散加权成像(reduced field of view,diffusion weighted imaging,r-fov DWI)模型参数预测乳腺侵润性导管癌新辅助化疗疗效的价值。方法 前瞻性选取28例单侧乳腺浸润性导管癌患者,收集化疗前、化疗2周期后乳腺r-fov IVIM模型参数真性扩散系数(Dt),假性扩散系数(Dp),灌注分数(f);r-fov DWI参数表观扩散系数(ADC)。根据术后病理结果分为组织学非显著反应组13人,组织学显著反应组15人;采用SPSS 25.0对数据进行处理,比较NAC前和化疗2个周期后两组间的参数值差异。绘制受试者工作特征曲线(receiver operating characteristic,ROO曲线分析以上参数对新辅助化疗疗效的预测价值。结果NAC2周期后ADC值,NAC2周期后与NAC前参数差值ΔADC、ΔDt值,三者的曲线下面积(area under curve,AUC)最大(0.951 VS 0.914、0.914),预测MHR组的效能高;NAC2周期后的Dt值,预测MHR组的效能较好(AUC=0.827)。结论 NAC2周期后,r-fov DWI模型参数ADC值和r-fov IVIM模型参数Dt值越高,且较NAC前升高程度越大,新辅助化疗结束后越容易获得较好的疗效;其中,以NAC2周期后,r-fovDWI模型参数ADC值的预测效能最高,应作为乳腺癌浸润性导管癌临床治疗过程中,新辅助化疗反应评估的主要参考参数。展开更多
基金Project supported by the National Natural Science Foundation of China(Grant Nos.11474236,81171331,and U1232212)
文摘In many ultrafast imaging applications, the reduced field-of-view（r FOV） technique is often used to enhance the spatial resolution and field inhomogeneity immunity of the images. The stationary-phase characteristic of the spatiotemporallyencoded（SPEN） method offers an inherent applicability to r FOV imaging. In this study, a flexible r FOV imaging method is presented and the superiority of the SPEN approach in r FOV imaging is demonstrated. The proposed method is validated with phantom and in vivo rat experiments, including cardiac imaging and contrast-enhanced perfusion imaging. For comparison, the echo planar imaging（EPI） experiments with orthogonal RF excitation are also performed. The results show that the signal-to-noise ratios of the images acquired by the proposed method can be higher than those obtained with the r FOV EPI. Moreover, the proposed method shows better performance in the cardiac imaging and perfusion imaging of rat kidney, and it can scan one or more regions of interest（ROIs） with high spatial resolution in a single shot. It might be a favorable solution to ultrafast imaging applications in cases with severe susceptibility heterogeneities, such as cardiac imaging and perfusion imaging. Furthermore, it might be promising in applications with separate ROIs, such as mammary and limb imaging.
文摘A new framework for early diagnosis of prostate cancer using Diffusion-Weighted Imaging (DWI) is proposed. The proposed diagnostic approach consists of the following four steps to detect locations that are suspicious for prostate cancer: 1) In the first step, we isolate the prostate from the surrounding anatomical structures based on a Maximum A Posteriori (MAP) estimate of a new log-likelihood function that accounts for the shape priori, the spatial interaction, and the current appearance of prostate tissues and its background (surrounding anatomical structures);2) In order to take into account any local deformation between the segmented prostates at different b-values that could occur during the scanning process due to local motion, a non-rigid registration algorithm is employed;3) A KNN-based classifier is used to classify the prostate into benign or malignant based on three appearance features extracted from registered images;and 4) The tumor boundaries are determined using a level set deformable model controlled by the diffusion information and the spatial interactions between the prostate voxels. Preliminary experiments on 28 patients (17 malignant and 11 benign) resulted in 100% correct classification, showing that the proposed method is a promising supplement to current technologies (biopsy-based diagnostic systems) for the early diagnosis of prostate cancer.
文摘目的探讨动态对比增强磁共振成像(dynamic contrast-enhanced magnetic resonance imaging,DCE-MRI)定量参数联合小视野弥散加权成像在甲状腺良恶性结节鉴别中的应用价值。材料与方法收集2022年1月至2023年10月于滨州医学院附属医院诊治并经手术病理证实为甲状腺结节的患者38例(52个结节),将其分为良性结节组和恶性结节组。术前患者均行3.0 T MRI扫描,包括常规MRI、小视野弥散加权成像(b值取0、800 s/mm^(2))和DCE-MRI检查,并测量其表观弥散系数(apparent diffusion coefficient,ADC)值和DCE-MRI定量参数,包括对比剂容积转运常数(volume transport constant,K^(trans))、速率常数(rate constant,K_(ep))、血管外细胞外间隙容积分数(extravascular extracellular volume fraction,V_(e))。对甲状腺良恶性结节组的ADC、K_(ep)、V_(e)、K^(trans)采用独立样本t检验分析,以P<0.05为差异有统计学意义,后将差异有统计学意义的变量进行逐步logistic回归模型分析,得到甲状腺良恶性结节的独立预测因素,并绘制受试者工作特征(receiver operating characteristic,ROC)曲线分析ADC、K^(trans)独立诊断模型及ADC与K^(trans)联合诊断模型的诊断效能。结果良性结节组平均ADC值、K^(trans)值、K_(ep)值分别为(1.659±0.370)×10^(-3)mm^(2)/s、(0.427±0.214)min^(-1)、(0.966±0.225)min^(-1),恶性结节组平均ADC值、K^(trans)值、K_(ep)值分别为(1.182±0.195)×10^(-3)mm^(2)/s、(0.178±0.073)min^(-1)、(0.600±0.248)min^(-1)。良性结节组的ADC、K^(trans)、K_(ep)值均高于恶性结节组,差异均有统计学意义(P<0.001)。经过独立样本t检验及逐步logistic回归分析显示,ADC值和K^(trans)差异具有统计学意义(P<0.05),是鉴别甲状腺结节良恶性的独立预测因子。单独ADC值曲线下面积(area under the curve,AUC)为0.915、单独K^(trans)值AUC为0.827。ADC值与K^(trans)联合诊断模型AUC为0.973,较二者单独应用明显增高,联合诊断模型诊断效能最高。经DeLong检验,联合诊断模型与单独K^(trans)诊断差异存在统计学意义(P<0.05)。ADC值与K^(trans)联合诊断模型在鉴别甲状腺良恶性结节中敏感度为97.3%,较ADC、K^(trans)更高,特异度为84.6%,较ADC值更高。结论ADC值和K^(trans)是鉴别甲状腺良恶性结节的重要参数,两者联合诊断可提高临床诊断准确性,为术前诊断提供重要依据。
文摘目的 比较磁共振小视野体素不相干运动扩散加权成像(reduced field of view,intravoxel incoherent motion,r-fov IVIM)及小视野常规扩散加权成像(reduced field of view,diffusion weighted imaging,r-fov DWI)模型参数预测乳腺侵润性导管癌新辅助化疗疗效的价值。方法 前瞻性选取28例单侧乳腺浸润性导管癌患者,收集化疗前、化疗2周期后乳腺r-fov IVIM模型参数真性扩散系数(Dt),假性扩散系数(Dp),灌注分数(f);r-fov DWI参数表观扩散系数(ADC)。根据术后病理结果分为组织学非显著反应组13人,组织学显著反应组15人;采用SPSS 25.0对数据进行处理,比较NAC前和化疗2个周期后两组间的参数值差异。绘制受试者工作特征曲线(receiver operating characteristic,ROO曲线分析以上参数对新辅助化疗疗效的预测价值。结果NAC2周期后ADC值,NAC2周期后与NAC前参数差值ΔADC、ΔDt值,三者的曲线下面积(area under curve,AUC)最大(0.951 VS 0.914、0.914),预测MHR组的效能高;NAC2周期后的Dt值,预测MHR组的效能较好(AUC=0.827)。结论 NAC2周期后,r-fov DWI模型参数ADC值和r-fov IVIM模型参数Dt值越高,且较NAC前升高程度越大,新辅助化疗结束后越容易获得较好的疗效;其中,以NAC2周期后,r-fovDWI模型参数ADC值的预测效能最高,应作为乳腺癌浸润性导管癌临床治疗过程中,新辅助化疗反应评估的主要参考参数。
