Quantification method of the feature of a tumor and an imaging method of the same

摘要

A quantification method and an imaging method are disclosed, capable of quantifying the margin feature, the cysts feature, the calcifications feature, the echoic feature and the heterogenesis feature of a tumor, and capable of imaging the margin feature, the cysts feature, the calcifications feature and the heterogenesis feature of a tumor. The quantification method and the imaging method calculate the moving variance of the gray scale of each of the pixel points based on the gradient value of the gray scale of these pixel points. Then, depending on the purpose of the quantification method or the imaging method, the maximum value, the minimum value, the mean value, and the standard deviation of the moving variance of the gray scale of these pixel points are calculated, respectively. At final, with the definition of the threshold value and the imaging rule, the above features of the tumor are quantified or imaged.

主权项

1. A quantification method of a cysts feature of a tumor executed by a computer system including a display device, a processor, a memory, an input device, and a storage device, applying on a gray scale image consisting of a plurality of pixel points and displaying at least one tumor therein, comprising the steps of:
(A) retrieving, by a processor, a tumor contour and a tumor contour annular region from the gray scale image, wherein the tumor contour is in the tumor contour annular region; (B) displaying, by a display device, the tumor contour over the gray scale image for defining a tumor inner region and a tumor external region on the gray scale image, wherein the tumor inner region is the region enclosed by the tumor contour; (C) calculating, by the processor, both the minimum value and the standard deviation of the gradient value of the gray scale of the plurality pixel points in the tumor inner region; (D) quantifying, by the processor, a cysts feature of the tumor in the tumor inner region based on a threshold value defined by the minimum value of the gradient value of the gray scale of the plurality pixel points in the tumor inner region plus a multiple, not equal to one, of the standard deviation of the gradient value of the gray scale of the plurality pixel points in the tumor inner region, and calculating, by the processor, the ratio of the region having the cysts feature over the tumor inner region, wherein when one of the plurality pixel points in the tumor inner region has a gradient value of the gray scale smaller than the threshold value, the pixel point is defined as belonging to the cysts feature; and (E) displaying, by the display device, an image pattern including the cysts feature of the tumor.