摘要:
According to the present invention, an image processing method includes: an input step of inputting an image; and an extraction step of performing matching between a template, obtained by modeling a predetermined structural component in the image and the image input in the input step to extract a structural component serving as an extraction target in the image.
摘要:
According to the invention, a computer includes an information input section, a search criteria input section, an image characteristic value creating section, an image region-of-interest creating section, an information list creating section, a graph executing section and a test executing section. The computer performs processing for inputting information, creating display data and analyzing numeric values in accordance with an event and displays a processing result on a display apparatus. Under this construction, an optimum test procedure can be automatically selected, and work effort can be reduced thereby. Furthermore, by preventing improper selection of a test procedure, an accurate test result can be obtained.
摘要:
According to the invention, a computer includes an information input section, a search criteria input section, an image characteristic value creating section, an image region-of-interest creating section, an information list creating section, a graph executing section and a test executing section. The computer performs processing for inputting information, creating display data and analyzing numeric values in accordance with an event and displays a processing result on a display apparatus. Under this construction, an optimum test procedure can be automatically selected, and work effort can be reduced thereby. Furthermore, by preventing improper selection of a test procedure, an accurate test result can be obtained.
摘要:
According to the present invention, an image processing method includes: an input step of inputting an image; and an extraction step of performing matching between a template, obtained by modeling a predetermined structural component in the image, and the image input in the input step to extract a structural component serving as an extraction target in the image.
摘要:
An image processing device includes; a lesion candidate region detecting section that detects a lesion candidate region based on at least one color signal in a medical image including a plurality of color signals; an incidental region detecting section that detects an incidental region that arises because of incidental attributes accompanying a lesion from the medical image; and a detection standard changing section that changes a detection standard when detecting a lesion from the lesion candidate region in accordance with a detection result of the incidental region.
摘要:
A medical image processing apparatus of the present invention has a three-dimensional model estimating section for estimating, based on an inputted two-dimensional image of an image of a living tissue within a body cavity, a three-dimensional model of the living tissue, a shape feature value calculating section for calculating shape feature values of respective voxels included in the three-dimensional model of the living tissue, a three-dimensional shape extracting section for extracting a first voxel group whose three-dimensional model has been estimated as a predetermined shape, in the respective voxels included in the three-dimensional model of the living tissue, based on the shape feature values, and a protruding shape detecting section for detecting the first voxel group as a voxel group configuring a protruding shape in the three-dimensional model of the living tissue.
摘要:
A signal processing circuit of an external device includes a CPU and a memory which are not shown. A program for estimating at least one of the position and orientation of a capsule endoscope on the basis of strength signals received through respective antennas is installed in the signal processing circuit. A single-core coil to generate a magnetic field is arranged in the capsule endoscope. The generated magnetic field is detected by a plurality of coils arranged outside a body, whereby a distance that the capsule endoscope has traveled can be obtained with accuracy. This arrangement controls image-capture timing to reliably capture images necessary for a diagnosis and prevent unnecessary image capture.
摘要:
A medical image processing apparatus of the invention comprises: a three-dimensional model estimating section that estimates a three-dimensional model of body tissues based on a two-dimensional image of an image of the body tissues inside a body cavity inputted from a medical image pickup apparatus; a voxel detecting section that detects one voxel existing on a nearest side in a view direction of the medical image pickup apparatus among the voxels included in the three-dimensional model; and a raised shape detecting section that acquires one curved surface including the one voxel to detect a position with gradient variation on the one curved surface and to determine whether or not body tissues with a locally raised shape exist in the position in the three-dimensional model.
摘要:
A medical image processing apparatus which performs image processing on a medical input image, includes: a pixel extraction portion for extracting an inappropriate pixel satisfying a predetermined condition in the input image, a replacing pixel information calculation portion for calculating replacing information with which pixel information of the inappropriate pixel is to be replaced, based on pixel information of a predetermined region including the extracted inappropriate pixel or adjacent to the extracted inappropriate pixel and a replaced image generation portion for replacing the pixel information of the inappropriate pixel in the input image with the replacing information and generating a replaced image.
摘要:
A CPU executes a gray value gradient calculation process to, for example, an R signal in step S10, executes an isotropic change feature value calculation process based on a gray value gradient calculated in step S11, and further executes a possible polyp detection process for generating a possible polyp image at a location where a polyp exists based on an isotropic change feature value calculated in step S12. This improves the detection of an existing location of an intraluminal abnormal tissue.