An image analysis apparatus includes: an image input section; a region extraction section configured to specify a target element including an annular peripheral portion and a center portion that is surrounded by the peripheral portion and that is in a color different from the peripheral portion in a first image and a second image inputted from the image input section, the second image being acquired later than the first image, and configured to extract only the center portion of the target element as a region to be analyzed; and a color component extraction section configured to extract respective color component values of the extracted regions to be analyzed of the first and second images.

A medical apparatus includes a model-image generating section configured to generate a model image obtained by modeling a shape of an inside of a subject, a coordinate calculating section configured to detect a three-dimensional position of a feature point of the inside of the subject, set a polar coordinate on the basis of a position of the feature point, and calculate an arbitrary three-dimensional position of the inside of the subject according to the polar coordinate, and an image generating section configured to show the arbitrary three-dimensional position of the inside of the subject on the model image on the basis of one angle component among components of the polar coordinate calculated by the coordinate calculating section and a value obtained by correcting the one angle component according to another angle component.

A computer system that segments a colon for a computed tomography colonography (CTC) is described. During operation, the computer system accesses imaging data having a spatial resolution. Then, the computer system identifies the colon lumen based on probabilities for different tissue classes in the imaging data. Moreover, the computer system segments the colon into subsegments based on an articulated object model that fits a tortuosity of the colon along a centerline of the colon, where the articulated object model includes values of an orthonormal basis set, curvature and torsion along the centerline, and where boundaries between subsegments are based on the curvature and the torsion. For example, a given boundary between a pair of subsegments may corresponds to or may be related to a minimum value of the curvature and a maximum value of the torsion over a length of the colon.

An image analysis apparatus includes: an image input section; a region extraction section configured to set an analysis object region for each of a first image and a second image acquired after the first image, the first image and the second image being inputted from the image input section; and an image analysis section configured to calculate a brightness decrease degree of a part of the analysis object region in the second image, the part having a brightness decreased relative to the analysis object region in the first image.

A parasite analysis system includes a pressure vessel configured to store a biological sample, an imaging cell connected to the pressure vessel, and a waste depository connected to the imaging cell. An input valve controls whether biological sample can flow from the pressure vessel into the imaging cell and an output valve controls whether biological sample can flow from the imaging cell into the waste depository. The parasite analysis system also includes a camera that captures a chronological set of images of a portion of the biological sample in the imaging cell and an image analysis system that analyzes the chronological set of images to generate an estimate of a number of parasites in the portion of the biological sample. Estimates for multiple portions of the biological sample may be generated and sampling techniques used to estimate the number of parasites in the entire biological sample.

An endoscope system includes a capsule endoscope that includes an imaging section, a first processing section that causes the imaging section to operate in a first mode or a second mode, and a first communication section that transmits the captured images to an external device, and the external device that includes a second processing section that outputs a mode switch instruction based on the captured images, and a second communication section that transmits the mode switch instruction, wherein the first processing section causes the imaging section to operate in the second mode from a halfway position of the small intestine, and also operate in the second mode in the large intestine based on the mode switch instruction.

An electronic endoscope system includes a plotting unit which plots pixel correspondence points, which correspond to pixels that constitute an intracavitary color image that has a plurality of color components, on a target plane according to color components of the pixel correspondence points, the target plane intersecting the origin of a predetermined color space; an axis setting unit which sets a reference axis in the target plane based on pixel correspondence points plotted on the target plane; and an evaluation value calculating unit which calculates a prescribed evaluation value with respect to the captured image based on a positional relationship between the reference axis and the pixel correspondence points.

A platform is provided for generating 3D models of a tumor segmented from a series of 2D medical images and for identifying from these 3D models, radiomic features that may be used for diagnostic, prognostic, and treatment response assessment of the tumor. The radiomic features may be shape-based features, intensity-based features, textural features, and filter-based features. The radiomic features are compared to remove sufficiently redundant features, thereby producing a reduced set of radiomic features, which is then compared to separate genomic data and/or outcome data to identify clinically and biologically significant radiomic features for diagnostic, prognostic, and treatment response assessment, other applications.

There is provided an image processing device capable of generating a more accurate analysis image by extracting a region, which exists at a boundary between different substances and has a pixel value that is non-uniform and continuously changes, from volume data. The image processing device acquires the volume data of a region which includes a large intestine, sets a plurality of starting points of region expansion in a boundary region between air and a residue in the large intestine, sets a condition of an expandable range of a width according to a gradient of a pixel value of each of the starting points, performs a region expansion process from each of the starting points according to the set condition, and generates the analysis image based on the result of the region expansion process.

An electronic endoscope system includes a plotting unit which plots pixel correspondence points, which correspond to pixels that constitute a color image that has multiple color components, on a first color plane according to color components of the pixel correspondence points, the first color plane intersecting the origin of a predetermined color space; an axis setting unit which sets a predetermined reference axis in the first color plane; a transform unit which defines a second color plane that includes the reference axis, and subjecting the pixel correspondence points on the first color plane to projective transformation onto the second color plane; and an evaluation value calculating unit which calculates a prescribed evaluation value with respect to the color image based on the pixel correspondence points subjected to projective transformation onto the second color plane.