公开(公告)号：US20080114242A1

公开(公告)日：2008-05-15

申请号：US11826082

申请日：2007-07-12

Applicant: Chien-Cheng Chang ,  Po-Hsiang Tsui ,  Chien-Chung Chang ,  Chin-Chou Chu ,  Jen-Jen Lin

Inventor： Chien-Cheng Chang ,  Po-Hsiang Tsui ,  Chien-Chung Chang ,  Chin-Chou Chu ,  Jen-Jen Lin

IPC: A61B8/14

CPC classification number: A61B8/08 ,  A61B8/587 ,  G01S7/52071 ,  G01S15/00 ,  G01S15/8977 ,  G06T5/002 ,  G06T2207/10132 ,  G06T2207/30004

Abstract: An ultrasonic imaging technique for differentiating the distribution of scatterers within a tissue comprises a correcting and an imaging procedure. The correcting procedure includes steps of obtaining ultrasonic backscattered signals from a standard phantom, compensating and demodulating the signals into an envelope image, calculating the parameter m and m, selecting a window to calculate parameter mw in each location of the envelope image and mw, if mw≠ m then increase the size of the window to repeat the steps above, and when mw= m, it is the optimal size of the window. The imaging procedure includes steps of obtaining ultrasonic backscattered signals from a target tissue, compensating and demodulating the signals into an envelope image, calculating mw in each location to form a mw matrix, and presenting the matrix by utilizing pseudocolors.

Abstract translation: 用于区分组织内散射体分布的超声成像技术包括校正和成像过程。 校正过程包括从标准体模获取超声后向散射信号，补偿和解调信号到包络图像中的步骤，计算参数m和 m，选择窗口以计算参数m < w ，并且 m ，如果 m > m然后增加窗口的大小以重复上述步骤，当 m = m，它是窗口的最佳大小。 成像过程包括以下步骤：从目标组织获得超声后向散射信号，将信号补偿和解调为包络图像，在每个位置计算m≠W以形成矩阵 ，并通过利用假胶体呈现矩阵。

公开(公告)号：US08092387B2

公开(公告)日：2012-01-10

申请号：US11826082

申请日：2007-07-12

Applicant: Chien-Cheng Chang ,  Po-Hsiang Tsui ,  Chien-Chung Chang ,  Chin-Chou Chu ,  Jen-Jen Lin

Inventor： Chien-Cheng Chang ,  Po-Hsiang Tsui ,  Chien-Chung Chang ,  Chin-Chou Chu ,  Jen-Jen Lin

IPC: A61B8/00

CPC classification number: A61B8/08 ,  A61B8/587 ,  G01S7/52071 ,  G01S15/00 ,  G01S15/8977 ,  G06T5/002 ,  G06T2207/10132 ,  G06T2207/30004

Abstract: An ultrasonic imaging technique for differentiating the distribution of scatterers within a tissue comprises a correcting and an imaging procedure. The correcting procedure includes steps of obtaining ultrasonic backscattered signals from a standard phantom, compensating and demodulating the signals into an envelope image, calculating the parameter m and m, selecting a window to calculate parameter mw in each location of the envelope image and mw, if mw≠ m then increase the size of the window to repeat the steps above, and when mw= m, it is the optimal size of the window. The imaging procedure includes steps of obtaining ultrasonic backscattered signals from a target tissue, compensating and demodulating the signals into an envelope image, calculating mw in each location to form a mw matrix, and presenting the matrix by utilizing pseudocolors.

Abstract translation: 用于区分组织内散射体分布的超声成像技术包括校正和成像过程。 校正过程包括从标准体模获取超声反向散射信号，补偿和解调信号到包络图像中的步骤，计算参数m和m，选择窗口以计算包络图像和mw的每个位置中的参数mw，如果 mw≠m然后增加窗口的大小以重复上述步骤，当mw = m时，它是窗口的最佳大小。 成像过程包括从目标组织获得超声反向散射信号，补偿和解调信号到包络图像中的步骤，在每个位置计算mw以形成mw矩阵，并且通过利用伪随机光呈现矩阵。

公开(公告)号：US20070048749A1

公开(公告)日：2007-03-01

申请号：US11284845

申请日：2005-11-23

Applicant: Chiung-Nien Chen ,  Jen-Jen Lin ,  Fon-Jou Hsieh ,  King-Jen Chang

Inventor： Chiung-Nien Chen ,  Jen-Jen Lin ,  Fon-Jou Hsieh ,  King-Jen Chang

IPC: C12Q1/68 ,  G06F19/00

CPC classification number: C12Q1/6886 ,  C12Q2600/112 ,  C12Q2600/118

Abstract: Disclosed is a method for survival prediction in gastric cancer patents after surgical operation, which uses a survival prediction model determined by known statistical method and gene expression microarray profiles. The survival prediction model is established by selecting special genes expressing significantly differential from pairs of cancerous and noncancerous tissue samples from patients with known survival conditions after surgical operation, confirming the concordance of RT-PCR analysis with the microarray gene expression profile, identifying most specific genes among the special genes using a statistical method, and determining the survival prediction model based on training set samples. The method of the present invention can be applied in gastric cancer patients to predict survival conditions after surgical operation and to provide a strategy for succeeding treatment and a reference for adjuvant chemotherapy.

Abstract translation: 公开了一种外科手术后胃癌专利生存预测方法，该方法采用已知统计学方法和基因表达微阵列分析确定的生存预测模型。 生存预测模型是通过选择在外科手术后具有已知生存条件的患者的癌组织和非癌组织样品的表达显着差异的特异基因来确定的，证实了RT-PCR分析与微阵列基因表达谱的一致性，鉴定了大多数特异性基因 在使用统计学方法的特殊基因中，并且基于训练集样本确定生存预测模型。 本发明的方法可应用于胃癌患者，以预测手术后的生存条件，并提供后续治疗策略和辅助化疗参考。