密度曲线

  • 网络Density Curve;tdc;density log;time density curve,TDC
密度曲线密度曲线
  1. 通过这些分析,进一步得到了与F分布密度曲线相关的微分方程。

    Then gains the differential equations about F distributed density curve by above analyses .

  2. 数字影像打印的密度曲线LUT的调整

    Calibration of density curve ( LUT ) in digital image printing

  3. 螺旋CT肝脏检查中技术参数的选择&时间-密度曲线的分析

    The Choice of Technical Parameters in Hepatic Helical CT : Time Density Curves Analysis

  4. 测量病灶、肝动脉和肝实质的CT值作时间密度曲线图。

    The attenuations of the lesion , hepatic artery and hepatic parenchyma were measured .

  5. CT灌注成像的时间-密度曲线及灌注参数在肺内肿块诊断中的作用

    Diagnostic effect of time-density curve and parameters of CT perfusion imaging of peripheral pulmonary masses

  6. 时间-密度曲线对间接性下肢深静脉CT成像的应用价值

    The value of time-density curve of common femoral vein in indirect deep-vein venography of lower limb on MSCT

  7. 目的探讨时间密度曲线在常见脑肿瘤CT动态增强扫描后鉴别诊断中的应用价值。

    Objective To evaluate the time-density curve of dynamic enhanced CT scan in differential diagnosis of common brain tumors .

  8. 小肝癌CT增强动脉期时间密度曲线特征及其病理分析

    The Characteristics of the Time-density Curve and Pathological Analysis of the SHCC in the Arterial Phase of CT Scan

  9. 目的:研究急性胰腺炎不同胰腺病变区CT时间-密度曲线(T&D曲线)特征对各病变区作定性和定量诊断的作用。

    Purpose : To study the role of time-density curve characteristics of different pancreatic pathologic areas in diagnosing acute pancreatitis on CT qualitatively and quantitatively .

  10. 结果肺癌组CT强化峰值、病灶与主动脉比值、强化形态及时间密度曲线与肺良性病变组存在明显差异。

    Results CT enhanced peak , the enhanced ratio of focus and aorta , the form of enhancement and time-dense curve were different between two groups .

  11. 结果(1)股静脉CT时间-密度曲线显示:各曲线呈宽大的缓升缓降波形,上升段相对较短,到达峰值后为缓慢的下降段。

    Results ( 1 ) The curve of common femoral vein showed a broad shape : including the rise to the peak value and slower subsequent decline .

  12. 材料与方法对46例脑瘤患者进行固定层面、时间、速度、剂量增强扫描,然后用CT功能软件时间密度曲线进行后处理并分析。

    Materials and Methods Enhanced CT scanning , with fixed slice , time , contrast velocity and dose , was performed in 46 cases with brain tumors .

  13. 结论通过CT增强延迟扫描表现和时间密度曲线形态可区分脑炎期和包膜期脓肿。

    Conclusion Characteristic signs of the delayed contrast enhanced CT scans and time density curves are very helpful in identifying encephalitic stage or enveloped stage of brain abscess .

  14. 当第二个参数变化时,利用特殊函数的性质,较详细地分析了F分布密度曲线之间交点的变化情况。

    This paper uses the properties of special functions , analyses fully the variances of intersection points of F distributed density curves when the second parameter changes .

  15. 材料与方法对14只犬脑脓肿模型在不同时间进行CT增强延迟扫描与病理研究,绘制并分析时间密度曲线。

    Materials and Methods Delayed contrast enhanced CT scans were performed in 14 dogs with brain abscess , and CT findings were compared with pathology . Time density curves were traced and analyzed .

  16. 通过仿真观察到调制与解调信号的波形,星座图以及QAM信号功率谱密度曲线,并对仿真结果进行了分析。

    The modulating wave . Constellation Diagram and power spectrum density curve is observed by simulation .

  17. 通过每一层面选定的ROI作CT值测量,绘制出时间密度曲线,从而计算出相应灌注值并与未行肝移植、无肝脏病变者进行对照。

    CT value in the selected region of interest on each scan was estimated , time density curve was thus drawn and the total perfusion value was calculated .

  18. 结果1.癌组织的时间&密度曲线(T-DC)按升段斜率(S)大小可分为3型:A、B、C型。

    Results ( 1 ) Enhancement was divided into three types : A , B , and C according to the slop of ( T-DC ) .

  19. 通过分析时间-密度曲线可以得到TTP、CBF、CBV和MTT等血液动力学参数。

    TTP , CBF , CBV , MTT and other hemodynamic parameters can be obtained from this time-density curve analysis .

  20. 评价SPN的时间-密度曲线(T-DC)。

    Patterns of time-density curve ( T-DC ) were assessed .

  21. 4例结核瘤增强后最大CT净增值均明显大于15HU,平均(60.16±17.26)HU,时间-密度曲线为上升型。

    The biggest increased CT value was more than 15 HU obviously in 4 cases and the mean increased CT value was ( 60.16 ± 17.26 ) HU , whose time-attenuation curves were in a ascending pattern .

  22. 分别按照病灶形态学、病灶强化特征、病灶强化的时间&密度曲线及上述三者综合分析,并进行CT诊断,准确率分别为78%、82%、84%和92%。

    According to lesion morphologic appearance , lesion enhancement mode , time-density curve of lesion , and combination of all the above three parameters , the diagnostic accuracies were 78 % , 82 % , 84 % and 92 % , respectively .

  23. 方法:对10例健康志愿者进行肾脏MR动态扫描,所得正常的肾脏MR时间-密度曲线即MR肾图与标准的正常同位素肾图进行对照。

    Materials and Methods : MR dynamic serial images were performed in 10 healthy volunteers . Renal time-intensity curve ( MR renogram ) was calculated from dynamic MR image sets . MR renogram of each normal person was correlated with standard normal radionuclide renography .

  24. 结果:(1)肿瘤组织的时间-密度曲线同正常肾皮质比较可分为3型;经消除因个体循环差异后的肿瘤活跃部分的TDC峰值相对时间较正常肾皮质TDC峰值相对时间早P<0.05;

    Results ( 1 ) TDC of malignant kidney tumor can be devided into 3 kinds compared with that of normal renal cortex .

  25. 方法选择直径≤4cm的周围型肺癌29例和肺结核球7例,行同层动态CT增强研究,绘制其时间-密度曲线。

    Methods Dynamic enhanced CT in the patients with peripheral bronchogenic carcinoma ( diameter 4 cm , 29 cases ) and tuberculoma ( 7 cases ) were analyzed and the time-attenuation curves were created .

  26. 结论股静脉时间-密度曲线表明造影剂的剂量与扫描时间的选择是间接下肢静脉CTV检查成功的两个主要因素。

    Conclusion The time-density curve of common femoral vein indicates that contrast dose and time delay are of primary importance in indirect CTV of lower limb .

  27. 针对大庆原油建立了描述原油TBP蒸馏曲线、相对分子质量曲线和密度曲线的数学模型,为工艺设计提供了可靠的基础数据计算方法。

    The mathematical model for crude TIP curve , relative molecular weight curve and density curve corresponding to Daqing crude was established , supplying reliable basic data and calculation method for process design .

  28. A组行胰腺动态螺旋CT增强扫描,对比剂总量为120ml,注射流率为2.5ml/s,分别测定腹主动脉、门静脉、胰腺实质及肝脏实质在增强后不同时间点的CT值,得出时间-密度曲线。

    By means of injection of 120 ml contrast at 2.5 ml / s rate , CT value of the peripancreatic aorta and portal vein , pancreatic and hepatic parenchyma was measured respectively in order to make the time-density curves of their enhancement .

  29. 方法:参照47例患者脑颈内动脉、大脑大静脉时间密度曲线,选择16s和28s为脑动、静脉成像扫描延迟时间。

    Methods : 16s and 28s protocol for cerebral CTA and CTV was proposed according to the time density curves of internal carotid artery ( ICA ) and Galen vein of 47 volunteers .

  30. 采用VB编程软件设计了Weibull程序,该模型能计算出碳纤维的平均强度、Weibull模数、尺度参数,并能模拟碳纤维强度的累积概率分布和概率密度曲线。

    The Weibull model designed for carbon fiber in Visual Basic 6.0 can be used to not only calculate the average strength , Weibull modulus and shape parameter , but simulate the curves of probability distribution and probability density distribution of carbon fiber strength .