Method and apparatus of image processing using energy substraction
parameters according to thickness of an object
    41.
    发明授权
    Method and apparatus of image processing using energy substraction parameters according to thickness of an object 失效
    使用能量减去参数根据物体的厚度进行图像处理的方法和装置

    公开(公告)号:US6075877A

    公开(公告)日:2000-06-13

    申请号:US955179

    申请日:1997-10-21

    申请人: Hideya Takeo

    发明人: Hideya Takeo

    CPC分类号: G06T5/004 G06T5/50

    摘要: A plurality of radiation image signals, each of which represents one of a plurality of radiation images of a single object and is made up of a series of image signal components, are obtained. The plurality of the radiation images of the single object have been formed respectively with a plurality of kinds of radiation having different energy distributions. A subtraction process is carried out in accordance with predetermined parameters and on image signal components of the radiation image signals, which image signal components represent corresponding picture elements in the radiation images, and a desired tissue pattern embedded in the radiation images is thereby extracted or emphasized. The values of the parameters are altered in accordance with a thickness of the object, and adverse effects of a beam hardening phenomenon and scattering of radiation are thereby reduced.

    摘要翻译: 获得多个辐射图像信号,每个辐射图像信号表示单个对象的多个辐射图像之一,并且由一系列图像信号分量组成。 已经分别形成了具有不同能量分布的多种辐射的单个物体的多个辐射图像。 根据预定参数和辐射图像信号的图像信号分量执行减法处理,哪些图像信号分量表示辐射图像中的相应图像元素,并且因此提取或强调嵌入在辐射图像中的期望的组织图案 。 参数的值根据物体的厚度而改变,从而减少了束硬化现象和辐射散射的不良影响。

    Image processing method and apparatus
    42.
    发明授权
    Image processing method and apparatus 失效
    图像处理方法和装置

    公开(公告)号:US6014474A

    公开(公告)日:2000-01-11

    申请号:US623223

    申请日:1996-03-28

    摘要: An operation of an iris filter is carried out on an original image signal representing an image, and the degree of centralization of gradients of the original image signal with respect to a picture element is thereby calculated, each of picture elements constituting the image being taken as the picture element. An image portion, which is associated with a high degree of centralization, in the image is detected in accordance with the calculated degree of centralization. Image emphasis processing is then selectively carried out on the detected image portion. Alternatively, a morphology operation is carried out on an original image signal Dorg by using a multiply structure element Bi and a scale factor .lambda., and a morphology signal Dmor is thereby obtained. The morphology signal Dmor represents whether each of picture elements constituting the image is or is not the one corresponding to an image portion, at which the original image signal Dorg fluctuates in a spatially narrower range than the multiply structure element Bi. Image emphasis processing is then carried out on the original image signal Dorg and in accordance with the morphology signal Dmor.

    摘要翻译: 对表示图像的原始图像信号进行虹膜滤波器的操作,由此计算原始图像信号相对于图像元素的梯度的集中度,构成图像的每个图像元素被视为 图片元素。 根据计算的集中度来检测图像中与高度集中度相关联的图像部分。 然后在检测到的图像部分上选择性地执行图像强调处理。 或者,通过使用多重结构元素Bi和比例因子λ对原始图像信号Dorg进行形态学运算,由此获得形态信号Dmor。 形态信号Dmor表示构成图像的每个图像是否是与图像部分对应的图像元素,其中原始图像信号Dorg在空间上比多重结构元素Bi更窄的范围内变化。 然后对原始图像信号Dorg进行图像强调处理,并根据形态信号Dmor进行。

    Method for detecting abnormal patterns
    43.
    发明授权
    Method for detecting abnormal patterns 失效
    异常模式检测方法

    公开(公告)号:US5732121A

    公开(公告)日:1998-03-24

    申请号:US731001

    申请日:1996-10-09

    CPC分类号: G06T7/0012 G01N23/04

    摘要: Prospective abnormal patterns in a radiation image of an object are detected in accordance with an image signal representing the radiation image. A probability density function of the image signal, which corresponds to a region, that is inward from a contour of each of the prospective abnormal patterns having been detected, and a neighboring region, is formed. Probability density function information in accordance with the probability density function is obtained. A definite prospective abnormal pattern, which is among the prospective abnormal patterns having been detected and has a high level of probability that it will be the true abnormal pattern, is detected in accordance with the probability density function information.

    摘要翻译: 根据表示放射线图像的图像信号检测物体的放射线图像中的预期异常图案。 形成了从已被检测到的每个预期异常图案的轮廓向内的对应于区域的图像信号的概率密度函数和相邻区域。 根据概率密度函数得到概率密度函数信息。 根据概率密度函数信息检测出已经被检测到并且具有高真实异常模式概率的预期异常模式之中的明确的预期异常模式。

    Energy subtraction processing method and apparatus
    44.
    发明授权
    Energy subtraction processing method and apparatus 失效
    能量减法处理方法及装置

    公开(公告)号:US5633509A

    公开(公告)日:1997-05-27

    申请号:US635194

    申请日:1996-04-19

    申请人: Hideya Takeo

    发明人: Hideya Takeo

    CPC分类号: G06T5/004 G01N23/04

    摘要: Radiation images of a single object are formed respectively with radiation having different energy distributions, and image signals respectively representing the radiation images are obtained. An unsharp mask signal Lu corresponding to super-low frequency is calculated from one of the image signals or from an image signal, which represents the mean-level image of the radiation images and is calculated from the image signals. The values of parameters for a subtraction process are changed in accordance with the unsharp mask signal Lu. The image signal components of the image signals are subtracted from one another, which image signal components represent corresponding picture elements in the radiation images, with the value of each of the parameters being thus changed for different picture elements in each of the radiation images. The unsharp mask signal Lu represents the median value of the image signal values of all picture elements located within an unsharp mask, which is set in order to obtain the unsharp mask signal Lu.

    摘要翻译: 分别用具有不同能量分布的辐射形成单个物体的辐射图像,并且获得分别表示辐射图像的图像信号。 从图像信号之一或从表示辐射图像的平均电平图像的图像信号中计算出与超低频对应的钝化掩模信号Lu,并根据图像信号计算出。 根据钝化掩模信号Lu改变减法处理的参数值。 图像信号的图像信号分量彼此相减,哪些图像信号分量表示辐射图像中的相应图像元素,因此每个参数的值对于每个辐射图像中的不同图像元素而改变。 钝化掩模信号Lu表示位于钝化掩模内的所有图像元素的图像信号值的中值,其被设置以获得钝化掩模信号Lu。

    Method and apparatus for adjusting read-out and processing conditions
for radiation images
    45.
    发明授权
    Method and apparatus for adjusting read-out and processing conditions for radiation images 失效
    用于调整放射图像的读出和处理条件的方法和装置

    公开(公告)号:US5502775A

    公开(公告)日:1996-03-26

    申请号:US997566

    申请日:1992-12-28

    申请人: Hideya Takeo

    发明人: Hideya Takeo

    CPC分类号: H04N1/4074

    摘要: A first image signal representing a radiation image is detected from a stimulable phosphor sheet, on which the radiation image has been stored, its probability density function is created, and a characteristic value of the probability density function is detected. Values of differences between the characteristic value and values of the first image signal in the probability density function are calculated. Information representing the values of the differences is fed into a neural network, and information representing temporary read-out conditions and/or temporary image processing conditions is fed out from the neural network. The temporary read-out conditions and/or the temporary image processing conditions are corrected in accordance with the level of the characteristic value. Read-out conditions, under which a second image signal representing the radiation image is to be obtained from the stimulable phosphor sheet, and/or image processing conditions, under which the second image signal having been obtained is to be image processed, are thereby adjusted.

    摘要翻译: 从已经存储了放射线图像的可刺激的荧光体片材检测表示放射线图像的第一图像信号,产生其概率密度函数,并且检测概率密度函数的特征值。 计算概率密度函数中的第一图像信号的特征值和值之间的差值。 表示差异值的信息被馈送到神经网络,并且从神经网络馈送表示临时读出条件和/或临时图像处理条件的信息。 临时读出条件和/或临时图像处理条件根据特征值的电平进行校正。 读出条件,在该条件下,从可刺激的荧光体片材获得表示放射线图像的第二图像信号,和/或图像处理条件,由此调整已经获得的第二图像信号被图像处理的图像处理条件 。

    Method for determining image points in object images
    46.
    发明授权
    Method for determining image points in object images 失效
    用于确定对象图像中的图像点的方法

    公开(公告)号:US5187752A

    公开(公告)日:1993-02-16

    申请号:US507423

    申请日:1990-04-10

    申请人: Hideya Takeo

    发明人: Hideya Takeo

    CPC分类号: G06T7/606 G06T2207/10116

    摘要: A method for determining an image point in an object image composed of the steps of detecting an image signal made up of a series of image signal components representing respective picture elements in a radiation image, which includes an object image and which has been recorded on a recording medium. The center of gravity of the object on the recording medium is found from the image signal by weighting the respective picture elements with corresponding absolute values of differentiated values resulting from the carrying out of differentiation processing on the image signal values corresponding to the respective picture elements. A position, at which the center of gravity is located, is determined as the image point in the object image.

    摘要翻译: 一种用于确定对象图像中的图像点的方法,包括以下步骤:检测由一系列表示辐射图像中的各个图像元素的图像信号分量构成的图像信号,所述图像信号分量包括对象图像,并且已被记录在 记录介质。 通过对对应于相应图像元素的图像信号值执行微分处理产生的微分值的对应绝对值对相应的图像元素进行加权,从图像信号中找出记录介质上物体的重心。 确定重心位置的位置作为对象图像中的图像点。

    Method for determining an image point in an object image
    47.
    发明授权
    Method for determining an image point in an object image 失效
    用于确定对象图像中的图像点的方法

    公开(公告)号:US5179597A

    公开(公告)日:1993-01-12

    申请号:US340744

    申请日:1989-04-20

    申请人: Hideya Takeo

    发明人: Hideya Takeo

    IPC分类号: A61B6/00 G06T7/60

    CPC分类号: G06T7/606 G06T2207/10116

    摘要: A method for determining an image point in an object image comprises the steps of, on the basis of an image signal comprising image signal components representing image information at respective picture elements on a recording medium on which a radiation image including an object image has been recorded, weighting the respective picture elements with image signal values corresponding to the respective picture elements or with the reciprocals of the image signal values, thereby to find the center of gravity on the recording medium. A position, at which the center of gravity is located, is determined as the image point in the object image.

    摘要翻译: 一种用于确定对象图像中的图像点的方法包括以下步骤:基于包括图像信号分量的图像信号的图像信号分量,所述图像信号分量表示在其上已经记录了包括对象图像的放射线图像的记录介质上的各个图像元素 用对应于各个图像元素的图像信号值或图像信号值的倒数对各个图像元素进行加权,从而在记录介质上找到重心。 确定重心位置的位置作为对象图像中的图像点。

    Method for detecting prospective contour points of an irradiation field
    48.
    发明授权
    Method for detecting prospective contour points of an irradiation field 失效
    用于检测照射场的预期轮廓点的方法

    公开(公告)号:US4983835A

    公开(公告)日:1991-01-08

    申请号:US324884

    申请日:1989-03-17

    申请人: Hideya Takeo

    发明人: Hideya Takeo

    IPC分类号: G06T5/00

    摘要: A method for detecting prospective contour point of an irradiation field comprises the steps of detecting an image signal representing a radiation image from a recording medium which has been exposed to radiation over a limited irradiation field in order to record the radiation image thereon, and obtaining digital image signal components corresponding to image information stored at respective positions on the recording medium from the image signal. A characteristic value which represents the characteristics of the distribution of the values of the digital image signal components representing image information stored on a single line on the recording medium is calculated. A predetermined threshold value is adjusted on the basis of the characteristic value, and differentiation processing of the digital image signal components is carried out along the line. A point, for which the absolute value of a corresponding differentiated value obtained by differentiation processing exceeds the threshold value, is detected as a prospective contour point of the irradiation field.

    摘要翻译: 一种用于检测照射场的预期轮廓点的方法包括以下步骤:从在受限照射场暴露于辐射的记录介质中检测表示辐射图像的图像信号,以便在其上记录放射图像,并获得 数字图像信号分量对应于从图像信号存储在记录介质上各个位置处的图像信息。 计算表示表示存储在记录介质上的单行上的图像信息的数字图像信号分量的值的分布特性的特征值。 基于特征值来调整预定阈值,并且沿着线执行数字图像信号分量的微分处理。 通过微分处理获得的对应微分值的绝对值超过阈值的点被检测为照射场的预期轮廓点。

    Method of automatically determining imaged body posture in medical image
display
    49.
    发明授权
    Method of automatically determining imaged body posture in medical image display 失效
    在医学图像显示中自动确定成像体姿势的方法

    公开(公告)号:US4903310A

    公开(公告)日:1990-02-20

    申请号:US183954

    申请日:1988-04-20

    IPC分类号: G06K9/20

    CPC分类号: G06K9/20 Y10S250/909

    摘要: An accumulative histogram of an image signal bearing a transmitted image of a human body is generated. The rate of change of the accumulative histogram is determined in a predetermined region of the image, and the imaged posture of the image is determined from the rate of change. Alternatively, to determine the imaged posture, the separation of a histogram is determined, or the pattern of the histogram is compared with a plurality of reference histogram patterns. The derivative of second order of a function approximated by the histogram pattern may be checked for its sign, or the histogram may be checked to determine whether it is of a single-peak form or a double-hump form. The dispersion of the histogram may also be determined.

    摘要翻译: 产生承载人体的透射图像的图像信号的累积直方图。 在图像的预定区域中确定累积直方图的变化率,并且根据变化率确定图像的成像姿势。 或者,为了确定成像姿势,确定直方图的分离,或将直方图的图案与多个参考直方图模式进行比较。 可以检查由直方图图案近似的函数的二阶导数的符号,或者可以检查直方图以确定其是单峰形式还是双峰形式。 也可以确定直方图的色散。

    Prospective abnormal shadow detecting system
    50.
    发明授权
    Prospective abnormal shadow detecting system 失效
    前瞻性异常阴影检测系统

    公开(公告)号:US07242795B2

    公开(公告)日:2007-07-10

    申请号:US10166744

    申请日:2002-06-12

    IPC分类号: G06K9/00

    CPC分类号: G06T7/0012 G06T2207/30068

    摘要: Prospective micro calcification points in a radiation image of an object are extracted on the basis of image data representing the radiation image and clustered into cluster areas. A plurality of areas are set in the radiation image, and fluctuation in size and/or fluctuation in density of the prospective micro calcification points in each of the areas is obtained. Detected areas are extracted from the plurality of areas on the basis of the fluctuation in size and/or the fluctuation in density of the prospective micro calcification points in each of the areas, and each interconnected area where a predetermined number of or more extracted detected areas are continuous is set as a cluster area.

    摘要翻译: 基于表示放射线图像的图像数据提取物体的放射线图像中的前瞻性微钙化点并聚集成簇区域。 在放射线图像中设置多个区域,并且获得每个区域中的预期微钙化点的尺寸和/或密度波动。 基于每个区域中的预期微钙化点的大小和/或密度的波动以及预定数量或更多提取的检测区域的每个互连区域,从多个区域中提取检测区域 是连续的设置为集群区域。