Abstract: The present application relates to the technical field of image recognition, and provides a carpal segmentation and recognition method, including: performing threshold segmentation on a carpal region of interest on a child orthotopic wrist X-ray image based on an adaptive threshold segmentation manner of variable threshold segmentation windows, and extracting edge information of the carpal region of interest based on an edge detection manner; combining a binarized image obtained by performing the threshold segmentation with the extracted edge information to obtain an initial segmentation image; performing carpal recognition on the initial segmentation image by using a carpal anatomy priori model to obtain an initial recognition image including information of each carpal bone; and performing boundary optimization on the initial recognition image, and outputting a carpal recognition image obtained after the boundary optimization is performed.

Abstract: The present application relates to the technical field of image recognition, and provides a carpal segmentation and recognition method, including: performing threshold segmentation on a carpal region of interest on a child orthotopic wrist X-ray image based on an adaptive threshold segmentation manner of variable threshold segmentation windows, and extracting edge information of the carpal region of interest based on an edge detection manner; combining a binarized image obtained by performing the threshold segmentation with the extracted edge information to obtain an initial segmentation image; performing carpal recognition on the initial segmentation image by using a carpal anatomy priori model to obtain an initial recognition image including information of each carpal bone; and performing boundary optimization on the initial recognition image, and outputting a carpal recognition image obtained after the boundary optimization is performed.

Abstract: The present disclosure provides a method for acquiring a retina structure from an optical coherence tomographic image and a system thereof.

Abstract: A method including determining a cerebral ischemia region of a patient based on a magnetic resonance diffusion weighted imaging of the patient; determining a DWI gray scale distribution parameter in a region with low ADC values in the magnetic resonance diffusion weighted imaging; and judging whether the DWI in the region with low ADC values in the magnetic resonance diffusion weighted imaging and the ADC values in the region with low ADC values in the magnetic resonance diffusion weighted imaging are mismatched according to the DWI gray scale distribution parameter in the region with low ADC values in the magnetic resonance diffusion weighted imaging is disclosed. The method provides a more scientific and objective basis for making a decision on whether the acute cerebral ischemia patient should be treated with thrombolysis, thereby improving a cure rate of the cerebral ischemia patient.

Abstract: The present disclosure provides a method for acquiring a retina structure from an optical coherence tomographic image and a system thereof.

Abstract: The present invention disclose a method and apparatus for determining characteristics of cerebral ischemia based on magnetic resonance diffusion weighted imaging, so as to provide a more objective basis for determining whether an acute cerebral ischemia patient should be treated with thrombolysis.

Abstract: The present invention discloses a method and apparatus for determining characteristics of cerebral ischemia based on magnetic resonance diffusion weighted imaging, so as to provide a more objective basis for determining whether an acute cerebral ischemia patient should be treated with thrombolysis. The method comprises: determining a cerebral ischemia region of a patient based on magnetic resonance diffusion weighted imaging of the patient, wherein the cerebral ischemia region comprises a core region and a transition region; determining an apparent diffusion coefficient ADC characteristic parameter ADCr in a region with high DWI values in the magnetic resonance diffusion weighted imaging according to diffusion weighted image DWI values in the core region and transition region; and judging whether ADC values in the region with high DWI values and the region with high DWI values are mismatched according to the ADC characteristic parameter ADCr.

Abstract: A method and devices are disclosed to detect bright brain regions (BBRs) from clinical non-enhanced computed tomography images through large grayscale, large grayscale asymmetry with respect to the midsagittal plane (MSP), and large grayscale local contrast. An adaptive approach is disclosed to determine thresholds of the 3 features and adjust the window width for data conversion. The substantial grayscale variability of BBRs for a subject is addressed by finding the bright portion followed by recovering. Those BBR voxels symmetrical to the MSP are recovered, partial volume effects are compensated and the high grayscale regions which may not correspond to intracerebral hemorrhage are excluded. The disclosed method and system could be a useful tool to aid classifying stroke types, quantifying intracerebral hemorrhage and enhancing stroke therapy.

Abstract: Method and system for obtaining brain characteristic parameters, thrombolysis decision guideline system and method thereof, provide middle of reference data for early diagnosis and treatment of acute ischemic brain death, and provide effective reference data for thrombolytic therapy. The present invention uses diffusion-weighted imaging, comparing to the clinical programs of diffusion-weighted imaging and perfusion weighted imaging, perfusion weighted imaging can omitted and the degree of functional characterization of perfusion abnormalities is reflected without the perfusion weighted imaging, to provide middle data of brain tissue can be saved and the risk of thrombolytic therapy. The present invention based on ADC low signal constraint and DWI high signal constraint DWI binarization processing to obtain the core area and transition area, that is more accurate.

Abstract: A method and devices are disclosed to detect bright brain regions (BBRs) from clinical non-enhanced computed tomography images through large grayscale, large grayscale asymmetry with respect to the midsagittal plane (MSP), and large grayscale local contrast. An adaptive approach is disclosed to determine thresholds of the 3 features and adjust the window width for data conversion. The substantial grayscale variability of BBRs for a subject is addressed by finding the bright portion followed by recovering. Those BBR voxels symmetrical to the MSP are recovered, partial volume effects are compensated and the high grayscale regions which may not correspond to intracerebral hemorrhage are excluded. The disclosed method and system could be a useful tool to aid classifying stroke types, quantifying intracerebral hemorrhage and enhancing stroke therapy.

Abstract: Disclosed herein are methods, computer systems and computer program products for labeling components. One method includes the step of labeling (130) with a current label all voxels that are internal to a predetermined sub-volume oriented with respect to an unlabeled voxel, and directly connected to the unmarked voxel. The labeling step is repeated for all voxels that are not internal to the predetermined sub-volume, but which are labeled with a current label. The method includes the step of incrementing the current label and may include the step of increasing a window size to a predetermined maximum. The preceding steps are repeated for remaining unlabeled object voxels.

Abstract: Method and system for obtaining brain characteristic parameters, thrombolysis decision guideline system and method thereof, provide middle of reference data for early diagnosis and treatment of acute ischemic brain death, and provide effective reference data for thrombolytic therapy. The present invention uses diffusion-weighted imaging, comparing to the clinical programs of diffusion-weighted imaging and perfusion weighted imaging, perfusion weighted imaging can omitted and the degree of functional characterization of perfusion abnormalities is reflected without the perfusion weighted imaging, to provide middle data of brain tissue can be saved and the risk of thrombolytic therapy. The present invention based on ADC low signal constraint and DWI high signal constraint DWI binarization processing to obtain the core area and transition area, that is more accurate.

Abstract: This invention provides a method and a device for producing the parameters of the brain tissue of a patient quickly by using suitable magnetic resonance imaging, utilizing image processing and computer technology, achieving parameters pertaining to the infarction and the ischemic penumbra. This invention also provides a method and a device for producing and assessing data of the suitability for thrombolysis of a patient quickly and properly by using suitable magnetic resonance imaging, utilizing image processing and computer technology, achieving parameters pertaining to the infarction and the ischemic penumbra and predicting the suitability for thrombolysis.

Abstract: A method and apparatus for identifying pathology in a brain image comprises the steps of firstly determining the location of the midsagittal plane (MSP) of the brain illustrated in the image under examination by identifying the symmetry of the two hemispheres based on the determination of up to 16 approximated fissure line segments (AFLSs). Those AFLSs with a larger angular deviation from the MSP than a predefined threshold are considered as outlier AFLSs while the rest are taken as inlier AFLSs. The ratio of the number of the outlier AFLSs to the number of inlier AFLSs is then calculated. A comparison of the ratio with a further predetermined threshold value is made and if the ratio exceeds the further predetermined threshold value, pathology is present in the brain image.

Abstract: Determining impingement between first and second bodies by determining a spatial relationship between surface points of the first body and markers of a first reference element; determining a spatial relationship between surface points of the second body and markers of a second reference element; displacing the first and second bodies relative to the other body; determining 3D coordinates of the respective pluralities of markers; and using at least (1) the 3D coordinates of the respective pluralities of markers of the reference elements, (2) the determined relationship between surface points of the first body and markers of the first reference elements, and (3) the determined relationship between surface points of the second body and markers of the second reference elements, to determine whether a surface point of one of the first and second bodies coincides with a surface point of the other body.

Abstract: A method and apparatus for extracting a cerebral ventricular system from images of one or more cerebral ventricular regions comprises defining multiple regions of interest (ROI) in the images, defining seed points within each ROI, growing images of ventricular regions while correcting for leakages into extraventricular space and connecting the ventricular regions grown.

Abstract: A method is disclosed for obtaining the location of a landmark in an MR image of a brain. In a first step, a region of interest in a plane within the MR image containing the landmark is defined. In a second step, the ROI is binarised into foreground and background voxels based on at least one threshold selected using anatomical knowledge. In a third step a set of object voxels is identified from the foreground voxels, excluding voxels which were only classified as object due to proximity of cortical and non-cortical structures. This can be done by morphological processing which reclassifies voxels which may have been incorrectly classified as object, followed by restoring voxels due to the partial volume effect and/or morphological erosion/opening. In a fourth step, an automatic process is then carried out to identify one or more landmarks in the modified binarised image.

Abstract: The brain structure is extracted from CT data based on thresholding and brain mask propagation. Two thresholds are determined: a high threshold excludes the high intensity bones, while a low threshold excludes air and CSF. Brain mask propagation uses the spatial relevance of brain tissues in neighbouring slices to exclude non-brain tissues with similar intensities.

Abstract: This invention provides a method and a device for producing the parameters of the brain tissue of a patient quickly by using suitable magnetic resonance imaging, utilizing image processing and computer technology, achieving parameters pertaining to the infarction and the ischemic penumbra. This invention also provides a method and a device for producing and assessing data of the suitability for thrombolysis of a patient quickly and properly by using suitable magnetic resonance imaging, utilizing image processing and computer technology, achieving parameters pertaining to the infarction and the ischemic penumbra and predicting the suitability for thrombolysis.

Abstract: A 3D image may be segmented based on one or more intensity thresholds determined from a subset of the voxels in the 3D image. The subset may contain voxels in a 2D reference slice. A low threshold and a high threshold may be used for segmenting an image, and they may be determined using different thresholding methods, depending on the image type. In one method, two sets of bordering pixels are selected from an image. A statistical measure of intensity of each set of pixels is determined. An intensity threshold value is calculated from the statistical measures for segmenting the image. In another method, the pixels of an image are clustered into clusters of different intensity ranges. An intensity threshold for segmenting the image is calculated as a function of a mean intensity and a standard deviation for pixels in one of the clusters. A further method is a supervised range-constrained thresholding method.