CN105389815A - Breast image registration method and device - Google Patents
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Abstract
本发明公开了一种乳腺图像配准方法,包括:输入对称视图的待配准图像;获取该待配准图像的乳腺轮廓及体位信息;根据该体位信息分别在对称视图的乳腺轮廓上确定配准点;依据该配准点对图像进行配准。还公开了一种的乳腺图像配准装置。本发明提供方法及装置能够在控制计算量、满足实时性配准需求的前提下,提高图像配准质量。
The invention discloses a breast image registration method, comprising: inputting an image to be registered in a symmetrical view; obtaining breast contour and body position information of the image to be registered; The registration point; the images are registered according to the registration point. Also disclosed is a breast image registration device. The method and device provided by the invention can improve image registration quality under the premise of controlling calculation amount and satisfying real-time registration requirements.
Description
【技术领域】【Technical field】
本发明涉及医学图像处理领域,尤其涉及一种乳腺图像的配准方法及装置。The invention relates to the field of medical image processing, in particular to a registration method and device for breast images.
【背景技术】【Background technique】
乳腺照相术通过专业图像设备以不同体位对左右侧乳腺进行拍照形成乳腺影像。因拍摄位置的不确定,左右视图对的乳腺影像之间会存在位置、尺寸差异。而该种差异会影响对比分析结果,为快速定位病灶区域,医生希望能够将同一体位的左右视图影像配准到尽可能对称的位置,以方便进行对比分析。Mammography uses professional imaging equipment to take pictures of the left and right breasts in different positions to form breast images. Due to the uncertainty of the shooting position, there will be differences in position and size between the breast images of the left and right view pairs. This difference will affect the comparative analysis results. In order to quickly locate the lesion area, the doctor hopes to register the left and right view images of the same body position to a symmetrical position as much as possible, so as to facilitate comparative analysis.
为满足此需求,现有技术中,将乳腺图像进行配准对齐的方法主要包括:To meet this requirement, in the prior art, methods for registering and aligning breast images mainly include:
1.基于图像灰度分布的方法:以一幅乳腺图像为参考图像,并将另一幅图像作为浮动图像来遍历参考图像,找到两幅图像的互相关信息特征(熵)最大的位置作为配准点,该方法要处理尺寸很大的两幅乳腺图像,计算量非常大,很难满足实时性要求。1. The method based on image gray level distribution: take one mammary gland image as a reference image, and use the other image as a floating image to traverse the reference image, and find the position with the largest cross-correlation information feature (entropy) of the two images as the matching image. On point, this method has to deal with two breast images of large size, the amount of calculation is very large, and it is difficult to meet the real-time requirements.
2.基于图像组织区域几何特征的方法:即选取乳腺图像的如质心、形心等点来作为对齐(配准)点(如中国专利申请CN201310732363.X-“基于质心的乳腺X线片影像的配准方法及配准系统”中所公开的方法),此类方法准确性较差,存在的误差往往会造成视觉差异,配准效果并不理想。2. The method based on the geometric characteristics of the image organization area: that is, select points such as centroid and centroid of the mammary gland image as alignment (registration) points (such as Chinese patent application CN201310732363. The methods disclosed in "Registration Method and Registration System"), the accuracy of this type of method is poor, and the existing errors often cause visual differences, and the registration effect is not ideal.
因此,需要一种新的乳腺图像配准方法及装置,能够在控制计算量、满足实时性配准需求的前提下,提高图像配准质量。Therefore, there is a need for a new breast image registration method and device, which can improve image registration quality under the premise of controlling the calculation amount and meeting the real-time registration requirements.
【发明内容】【Content of invention】
本发明解决的是现有的乳腺图像配准方法计算量大、无法满足实时性需求及配准效果差的问题。The invention solves the problems that the existing mammary gland image registration method has a large amount of calculation, cannot meet the real-time requirement and has poor registration effect.
为解决上述问题,本发明提供一种乳腺图像配准方法,包括:输入对称视图的待配准图像;获取该待配准图像的乳腺轮廓及体位信息;根据该体位信息分别在对称视图的乳腺轮廓上确定配准点;依据该配准点对图像进行配准。In order to solve the above problems, the present invention provides a breast image registration method, which includes: inputting an image to be registered in a symmetrical view; obtaining breast contour and body position information of the image to be registered; A registration point is determined on the contour; images are registered according to the registration point.
可选地,获取所述乳腺轮廓包括:分割出待配准图像中的乳腺组织图像;使用链码跟踪方法获取乳腺轮廓。Optionally, obtaining the breast contour includes: segmenting the breast tissue image in the image to be registered; and obtaining the breast contour by using a chain code tracking method.
可选地,所述分割为阈值分割。Optionally, the segmentation is threshold segmentation.
可选地,还包括:去除乳腺轮廓中的无效边界。Optionally, the method further includes: removing invalid boundaries in the breast contour.
可选地,所述根据该体位信息分别在对称视图的乳腺轮廓上确定配准点包括:选取所述乳腺轮廓中距离对称轴最远的点作为配准点或者选取所述乳腺轮廓最小半径拟合圆的圆心为作为配准点。Optionally, said determining the registration points on the breast contour of the symmetric view according to the body position information includes: selecting a point in the breast contour farthest from the symmetry axis as a registration point or selecting a fitting circle with the smallest radius of the breast contour The center of the circle is used as the registration point.
可选地,所述根据该体位信息分别在对称视图的乳腺轮廓上确定配准点包括:执行第一判断,判断所述待配准图像的体位信息是否为第一体位:若是,则使用第一方法确定所述配准点;若否,则使用第二方法确定所述配准点。Optionally, said determining the registration points on the breast contour of the symmetric view according to the body position information includes: performing a first judgment, judging whether the body position information of the image to be registered is the first body position: if so, using the first A method determines the registration point; if not, a second method is used to determine the registration point.
可选地,所述第一体位为头尾位;所述第一方法包括:选取所述乳腺轮廓中距离对称轴最远的点作为配准点。Optionally, the first body position is a head-to-tail position; the first method includes: selecting a point in the breast contour farthest from the symmetry axis as a registration point.
可选地,所述第二方法包括:执行第二判断,判断所述乳腺轮廓的最小半径拟合圆的半径是否小于乳头组织边界圆的直径;若是,选取所述最小半径拟合圆的圆心为作为配准点;若否,则减小所述乳腺轮廓的拟合圆步长,重新确定最小半径拟合圆并执行所述第二判断,若所述步长减小至小于预设阈值时,最小半径拟合圆的半径仍不小于所述乳头组织边界圆的直径,则选取所述乳腺轮廓中距离对称轴最远的点作为配准点。Optionally, the second method includes: performing a second judgment, judging whether the radius of the fitting circle with the smallest radius of the breast contour is smaller than the diameter of the boundary circle of the nipple tissue; if so, selecting the center of the fitting circle with the smallest radius as a registration point; if not, then reduce the fitting circle step size of the breast contour, re-determine the minimum radius fitting circle and execute the second judgment, if the step size is reduced to less than a preset threshold , the radius of the fitting circle with the minimum radius is still not less than the diameter of the boundary circle of the nipple tissue, then the point in the breast contour farthest from the symmetry axis is selected as the registration point.
可选地,所述依据该配准点对图像进行配准包括:以一配准点为基准配准点,移动包含其余配准点的图像,所述移动的距离为所述其余配准点与所述基准配准点纵向坐标之差。Optionally, the registration of the image according to the registration point includes: taking a registration point as a reference registration point, and moving the image including the rest of the registration points, and the moving distance is the distance between the rest of the registration points and the reference registration point. The difference between the longitudinal coordinates of the punctual point.
相应地,本发明还提供一种用于实施上述乳腺图像配准方法的乳腺图像配准装置,包括:图像输入单元,用于输入待配准图像;图像处理单元,用于对所述待配准图像进行处理,以获得该待配准图像的乳腺轮廓及体位信息;图像配准单元,用于根据该体位信息分别在对称视图的乳腺轮廓上确定配准点,并依据该配准点对图像进行配准。Correspondingly, the present invention also provides a breast image registration device for implementing the above-mentioned breast image registration method, including: an image input unit for inputting images to be registered; an image processing unit for processing the images to be registered The image is processed to obtain the breast contour and body position information of the image to be registered; the image registration unit is used to determine registration points on the breast contour of the symmetrical view according to the body position information, and perform image processing based on the registration points Registration.
本发明对比现有技术有如下的有益效果:Compared with the prior art, the present invention has the following beneficial effects:
充分利用乳腺图像的体位信息结合成像轮廓特点进行配准,在降低图像配准计算量的同时保证了配准质量。本发明方案还可以较优地方式实现,针对不同体位影像选用不同对齐方法,对图像异常情况进行容错处理,更好地适应不同患者影像的特异性及保证算法效率。The body position information of the breast image is fully utilized in combination with the characteristics of the imaging contour for registration, which reduces the amount of image registration calculations and ensures the registration quality. The solution of the present invention can also be implemented in a more optimal manner, by selecting different alignment methods for images of different body positions, and performing fault-tolerant processing on abnormal images, so as to better adapt to the specificity of images of different patients and ensure the efficiency of the algorithm.
【附图说明】【Description of drawings】
图1是本发明一实施例的流程示意图;Fig. 1 is a schematic flow chart of an embodiment of the present invention;
图2是本发明一实施例中头尾位乳腺图像配准过程示意图;Fig. 2 is a schematic diagram of the process of registration of mammary gland images in head and tail positions in an embodiment of the present invention;
图3是本发明一实施例中内外侧斜位乳腺图像配准过程示意图;Fig. 3 is a schematic diagram of the registration process of the medial and lateral oblique mammary gland images in an embodiment of the present invention;
图4是本发明一实施例中配准点确定流程示意图。Fig. 4 is a schematic diagram of a registration point determination process in an embodiment of the present invention.
【具体实施方式】【detailed description】
为使本发明的上述目的、特征和优点能够更加明显易懂,下面结合附图对本发明的具体实施方式做详细的说明。In order to make the above objects, features and advantages of the present invention more comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings.
在下面的描述中阐述了很多具体细节以便于充分理解本发明,但是本发明还可以采用其它不同于在此描述的其它方式来实施,因此本发明不受下面公开的具体实施例的限制。In the following description, many specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways than those described here, so the present invention is not limited by the specific embodiments disclosed below.
如图1所示,在根据本发明所提供乳腺图像配准方法的一个实施例中,首先执行步骤S1,输入待配准的乳腺图像。为快速定位病灶区域,用户希望能够将同一体位的对称视图(指基于同一体位在对称摄影方向上获得的视图,如左右侧视图)影像配准到尽可能对称的位置以方便进行对比分析。在本实施例中,输入的乳腺图像以基于同一体位的左右视图的乳腺图像为例进行说明,如可参见图2(a)所示同为头尾位(Craniocaudalview,简称CC位)的左右视图待配准图像及图3(a)所示的同为内外侧斜位(Mediolateralobliqueview,简称MLO位)的左右视图待配准图像。该乳腺图像可以是通过使用如钼靶、钼铑双靶、钼钨双靶等的成像设备的乳腺摄影方式所获取的乳腺图像。图像输入的方式,可以是由医学成像设备成像完成后直接传输输入,也可以为控制读取存储设备的方式进行输入。图像的格式,可为符合DICOM(DigitalImagingandCommunicationsinMedicine,医学数字成像和通信)标准的乳腺图像。As shown in FIG. 1 , in an embodiment of the breast image registration method provided by the present invention, step S1 is first performed to input a breast image to be registered. In order to quickly locate the lesion area, the user hopes to be able to register the symmetrical views (referring to the views obtained in the symmetrical photography direction based on the same body position, such as the left and right side views) of the same body position to as symmetrical positions as possible to facilitate comparative analysis. In this embodiment, the input mammary gland image is illustrated by taking the mammary gland image of the left and right views based on the same body position as an example, as can be seen in FIG. The images to be registered and the images to be registered in the left and right views shown in FIG. The breast image may be a breast image obtained by mammography using imaging equipment such as a molybdenum target, a molybdenum-rhodium dual target, and a molybdenum-tungsten dual target. The way of image input can be directly transmitted and input after the medical imaging equipment completes the imaging, and can also be input in the way of controlling and reading the storage device. The format of the image may be a breast image conforming to the DICOM (Digital Imaging and Communications in Medicine, Digital Imaging and Communications in Medicine) standard.
继续参照图1,输入待校正图像后,执行步骤S2,获取该待配准图像的乳腺轮廓及体位信息。体位信息指乳腺图像拍摄时受检者的身体位置信息,其中,内外侧斜位及头尾位是所有乳腺摄影常规采用的体位,相应地,头尾位图像左侧视图可定义为LCC图像,右侧视图为RCC图像;内外侧斜位图像的左侧视图为LMLO图像,右侧视图为RMLO图像。体位信息及视图信息可通过用户输入或解析图像等方式获取,例如,对于符合DICOM标准的乳腺图像,可通过读取图像DICOM信息获取体位信息及视图信息。Continuing to refer to FIG. 1 , after the image to be corrected is input, step S2 is performed to obtain breast contour and body position information of the image to be registered. Body position information refers to the body position information of the subject when the mammogram is taken. Among them, the medial and lateral oblique position and the head and tail position are the body positions routinely used in all mammography. Correspondingly, the left side view of the head and tail image can be defined as the LCC image. The right view is the RCC image; the left view of the medial-lateral oblique image is the LMLO image, and the right view is the RMLO image. Body position information and view information can be obtained through user input or image analysis. For example, for breast images conforming to the DICOM standard, body position information and view information can be obtained by reading DICOM information of the image.
乳腺轮廓是指是指乳腺图像中乳腺组织的边界信息。其可通过对待配准乳腺图像进行分割获得。例如,输入待配准图像后,判断待配准图像的背景像素值,若背景像素值为零,则可直接读取出非零像素点为乳腺组织图像;若背景像素值非零,则可采用阈值分割的方式对图像进行分割,因乳腺组织分布较为集中且与背景差异较大,可较优地采用最大类间方差法(OSTU,又称大津法)进行分割。分割出乳腺组织图像后,可使用链码(Freeman码)跟踪的方式获取乳腺组织的边界(即乳腺轮廓),其中定义左侧视图的乳腺轮廓为链码L,右侧视图的乳腺轮廓为链码R。The breast contour refers to the boundary information of the breast tissue in the breast image. It can be obtained by segmenting the breast image to be registered. For example, after the image to be registered is input, the background pixel value of the image to be registered is judged. If the background pixel value is zero, the non-zero pixel point can be directly read as the breast tissue image; if the background pixel value is non-zero, then the The image is segmented by threshold segmentation. Since the distribution of breast tissue is relatively concentrated and the difference from the background is large, the maximum between-class variance method (OSTU, also known as Otsu method) can be preferably used for segmentation. After the mammary gland image is segmented, the boundary of the mammary gland tissue (that is, breast contour) can be obtained by chain code (Freeman code) tracking, where the mammary gland contour of the left view is defined as chain code L, and the mammary gland contour of the right view is chain Code R.
如图2(b)及图3(b)所示,经上述步骤获得的乳腺轮廓可能还含有部分无效的边界信息,为防止此部分信息干扰及减小计算量,可较优地选择对无效边界进行去除操作。在本发明的一个实施例中,可通过判断乳腺边界点是否是图像边界或定义乳腺图像有效高度的方式进行,例如:定义图像边界点坐标为(x,y),若边界点坐标任一值等于图像边界点对应坐标值,则认为此乳腺组织边界点无效,对其进行滤除。又例如,可设定MLO位图像的有效高度区间为三分之一图像高度至五分之四图像高度,CC位图像的有效高度区间为三分之一图像高度至三分之二图像高度,在有效高度区间之外的乳腺图像边界,均可认为是无效边界信息予以滤除。如图2(c)及图3(c)所示,无效边界去除后,获得乳腺图像的有效轮廓信息。As shown in Figure 2(b) and Figure 3(b), the breast contour obtained through the above steps may also contain some invalid boundary information. Boundaries are removed. In one embodiment of the present invention, it can be carried out by judging whether the breast boundary point is the image boundary or defining the effective height of the breast image, for example: defining the image boundary point coordinates as (x, y), if the boundary point coordinates have any value If it is equal to the corresponding coordinate value of the image boundary point, then the breast tissue boundary point is considered invalid, and it is filtered out. For another example, the effective height range of the MLO bit image can be set to be one-third of the image height to four-fifths of the image height, and the effective height range of the CC bit image can be set to one-third of the image height to two-thirds of the image height. The breast image boundaries outside the effective height range can be considered as invalid boundary information and filtered out. As shown in Fig. 2(c) and Fig. 3(c), after the invalid boundary is removed, the effective contour information of the breast image is obtained.
继续参照图1,获取待配准图像的乳腺轮廓及体位信息后,执行步骤S3,根据该体位信息在乳腺轮廓上确定配准点。Continuing to refer to FIG. 1 , after obtaining the breast contour and body position information of the image to be registered, step S3 is performed to determine the registration point on the breast contour according to the body position information.
不同体位信息的乳腺图像其乳腺轮廓特征存在差异,例如CC位图像的乳腺轮廓呈半球形上下对称分布,乳头组织居中,因而在对称视图LCC及RCC中的乳头轮廓部位距对称轴距离最远;而对于非CC位(如MLO位)体位影像,乳头组织处于影像中间偏下位置,切乳头区域边界类圆形,且与其他边界有明显拐点。因而,可通过对待配准图像的体位信息进行判断,对不同体位的乳腺图像采用不同的配准方法进行配准,以提高配准的效率和准确性。例如:可对CC位乳腺图像选取第一配准方法,而对于非CC体位,则选取第二配准的方法进行配准。更具体地,对于CC位乳腺图像,由于乳腺轮廓呈半球形上下对称分布,乳头组织居中并距离左右视图的对称轴距离最远,因而将乳腺轮廓中距离对称轴最远的点作为配准点进行配准(如图2(d)所示);而对于非CC位乳腺图像,可将乳腺轮廓最小半径拟合圆的圆心为作为配准点进行配准(如图3(d)所示)。Breast images with different body position information have different breast contour features. For example, the breast contour of the CC image is hemispherical and symmetrically distributed up and down, and the nipple tissue is centered. Therefore, the nipple contour in the symmetrical view LCC and RCC is the farthest from the symmetry axis; For the non-CC position (such as MLO position) body image, the nipple tissue is located in the lower middle of the image, and the boundary of the cut nipple area is circular, and there are obvious inflection points with other boundaries. Therefore, by judging the body position information of the image to be registered, different registration methods can be used for registration of breast images of different body positions, so as to improve the efficiency and accuracy of registration. For example, the first registration method can be selected for CC breast images, and the second registration method can be selected for non-CC body positions. More specifically, for CC breast images, since the breast contour is symmetrically distributed up and down in a hemisphere, the nipple tissue is centered and farthest from the symmetry axis of the left and right views, so the point in the breast contour farthest from the symmetry axis is used as the registration point. Registration (as shown in Figure 2(d)); and for non-CC breast images, the center of the fitting circle with the smallest radius of the breast contour can be used as the registration point for registration (as shown in Figure 3(d)).
图4示出了对非CC位乳腺图像配准点进行确定的流程,首先,对乳腺轮廓进行拟合圆处理,如设定步长,并以此步长循环在所述乳腺轮廓上选取点进行拟合圆,取所有拟合圆中半径最小的圆为最小半径拟合圆。Fig. 4 shows the process of determining the registration points of non-CC mammary gland images. First, the breast contour is fitted with a circle, such as setting the step size, and using this step length to cycle through the selection of points on the breast contour Fitting circle, take the circle with the smallest radius among all fitting circles as the fitting circle with the smallest radius.
例如,可设定初始步长为DELTA(其值较优地可趋近或等同于乳头组织边界圆的半径),在左右图像的乳腺轮廓L、R上循环以当前点p、p+DELTA及p+DELTA*2拟合圆,循环完成后,获取最小半径圆的半径为minRadius。For example, the initial step size can be set to be DELTA (its value can preferably approach or be equal to the radius of the nipple tissue boundary circle), and the current point p, p+DELTA and p+DELTA*2 fits the circle, after the cycle is completed, the radius of the circle with the smallest radius is minRadius.
然后,对此最小半径进行判断,若最小半径minRadius<第一阈值(第一阈值可取值为2倍初始步长值,即趋近或等同于乳头组织边界圆直径),则选取该最小半径对应的圆心为配准点。Then, judge the minimum radius, if the minimum radius minRadius<the first threshold (the first threshold can be 2 times the initial step value, that is, approaching or equal to the diameter of the papillary tissue boundary circle), then select the minimum radius The corresponding center of the circle is the registration point.
若最小半径minRadius大于或等于第一阈值,则认为找到的最小半径圆无效,减小步长值(减小幅度可依据实际情况兼顾计算效率以等比或等差方式进行,例如每次减小为前一步长值的0.75倍,或每次减小0.1倍初始步长),并判断新的步长值是否小于第二阈值(第二阈值可设置为0.5倍初始步长),若不小于第二阈值,则返回重新确定最小半径圆及其半径,并将该半径重新与第一阈值相比较。若新的步长值减小至小于第二阈值所确定的最小半径圆仍无效,则使用乳腺轮廓中距离对称轴最远的点(即最大对称轴距离点)作为配准点。If the minimum radius minRadius is greater than or equal to the first threshold, it is considered that the found minimum radius circle is invalid, and the step size value is reduced (the reduction can be performed in a proportional or differential manner according to the actual situation and taking into account the calculation efficiency, for example, each time decreases 0.75 times the value of the previous step, or 0.1 times the initial step each time), and judge whether the new step value is less than the second threshold (the second threshold can be set to 0.5 times the initial step), if not less than For the second threshold, return to re-determine the minimum radius circle and its radius, and compare the radius with the first threshold again. If the new step size is reduced to be smaller than the minimum radius circle determined by the second threshold and is still invalid, use the point in the breast contour farthest from the symmetry axis (ie, the point with the largest symmetry axis distance) as the registration point.
继续参照图1,确定配准点后,执行步骤S4,依据该配准点对图像进行配准。具体地,可以一配准点为基准配准点,移动包含其余配准点的图像,所述移动的距离为所述其余配准点与所述基准配准点纵向坐标之差,例如,选择以距所述待配准图像中心(或距离左右视图对称轴)距离较近的配准点为基准配准点,移动包含较远距离的配准点的图像,所述移动的距离为配准点与基准配准点的纵向坐标之差。Continuing to refer to FIG. 1 , after the registration point is determined, step S4 is performed to register the images according to the registration point. Specifically, one registration point can be used as a reference registration point, and the image containing the rest of the registration points can be moved. The moving distance is the difference between the remaining registration points and the longitudinal coordinates of the reference registration point. The registration point that is closer to the center of the registration image (or the symmetry axis of the left and right views) is the reference registration point, and the image containing the registration point that is farther away is moved, and the moving distance is the distance between the registration point and the longitudinal coordinate of the reference registration point. Difference.
配准之后的图像如图2(e)及图3(e)所示。The images after registration are shown in Figure 2(e) and Figure 3(e).
本发明所提供的乳腺图像配准方法,充分利用乳腺图像的体位信息结合成像轮廓特点进行配准,根据不同的体位信息选择不同的配准方法,在降低图像配准计算量的同时保证了配准质量。此外,还可对图像异常情况进行容错处理,更好地适应不同患者影像的特异性及保证算法效率。The breast image registration method provided by the present invention makes full use of the body position information of the breast image combined with the characteristics of the imaging contour for registration, selects different registration methods according to different body position information, and ensures the accuracy of registration while reducing the calculation amount of image registration. quasi-quality. In addition, fault-tolerant processing can be performed on image abnormalities to better adapt to the specificity of different patient images and ensure algorithm efficiency.
本发明上述实施例的乳腺图像配准方法可以在例如计算机软件、硬件或计算机软件与硬件的组合的计算机可读取介质中加以实施。对于硬件实施而言,本发明中所描述的实施例可在一个或多个专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理器件(DAPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、处理器、控制器、微控制器、微处理器、用于执行上述功能的其它电子装置或上述装置的选择组合来加以实施。在部分情况下,这类实施例可以通过控制器进行实施。The breast image registration method in the above embodiments of the present invention can be implemented in a computer-readable medium such as computer software, hardware or a combination of computer software and hardware. For hardware implementation, the embodiments described in this disclosure may be implemented on one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DAPDs), Programmable Logic Devices (PLDs) , field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic means for performing the functions described above, or a selected combination of the above means. In some cases, such embodiments may be implemented by a controller.
对软件实施而言,本发明中所描述的实施例可通过诸如程序模块(procedures)和函数模块(functions)等独立的软件模块来加以实施,其中每一个模块执行一个或多个本文中描述的功能和操作。软件代码可通过在适当编程语言中编写的应用软件来加以实施,可以储存在内存中,由控制器或处理器执行。例如根据本发明实施例所提出的一种乳腺图像配准装置,其包括:图像输入单元,用于输入对称视图的待配准图像;图像处理单元,用于对所述待配准图像进行处理,以获得该待配准图像的乳腺轮廓及体位信息;图像配准单元,用于根据该体位信息分别在对称视图的乳腺轮廓上确定配准点,并依据该配准点对图像进行配准。For a software implementation, the embodiments described in this disclosure may be implemented through separate software modules, such as procedures and functions, each of which implements one or more of the methods described herein. function and operation. Software codes can be implemented by application software written in a suitable programming language, stored in memory, and executed by a controller or processor. For example, a breast image registration device proposed according to an embodiment of the present invention includes: an image input unit, configured to input a symmetrical view image to be registered; an image processing unit, configured to process the image to be registered to obtain the breast contour and body position information of the image to be registered; the image registration unit is configured to determine registration points on the breast contour of the symmetrical view according to the body position information, and register the images according to the registration points.
本发明虽然已以较佳实施例公开如上,但其并不是用来限定本发明,任何本领域技术人员在不脱离本发明的精神和范围内,都可以利用上述揭示的方法和技术内容对本发明技术方案做出可能的变动和修改,因此,凡是未脱离本发明技术方案的内容,依据本发明的技术实质对以上实施例所作的任何简单修改、等同变化及修饰,均属于本发明技术方案的保护范围。Although the present invention has been disclosed as above with preferred embodiments, it is not intended to limit the present invention, and any person skilled in the art can use the methods disclosed above and technical content to analyze the present invention without departing from the spirit and scope of the present invention. Possible changes and modifications are made in the technical solution. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention, which do not depart from the content of the technical solution of the present invention, all belong to the technical solution of the present invention. protected range.
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