A method and an apparatus optimizes scan data obtained by sensors on vehicle, and corrects trajectory for a vehicle/robot based on the optimized scan data. The method for optimizing the scan data obtained by scanning environment elements, includes: step of obtaining the scan data, including obtaining at least two frames of scan data respectively corresponding to different timings; step of cluster processing, based on the characteristic of the data points, including classifying the plurality of data points in each frame of the scan data into one or more clusters; step of establishing correspondence, among the at least two frames of scan data, including searching and obtaining at least one set of clusters having correspondence; step of optimizing clusters, among the at least two frames of scan data, including conducting calculation to each set of the at least one set of clusters having correspondence, to obtain optimized clusters respectively corresponding to each set of the at least one set of clusters having correspondence; and step of optimizing the scan data, including accumulating all optimized clusters to obtain an optimized scan date for the at least two frames of scan data.

A method of visualization, characterization, and detection of objects within an image by applying a local micro-contrast convergence algorithm to a first image to produce a second image that is different from the first image, wherein all like objects converge into similar patterns or colors in the second image.

A method of visualization, characterization, and detection of objects within an image by applying a local micro-contrast convergence algorithm to a first image to produce a second image that is different from the first image, wherein all like objects converge into similar patterns or colors in the second image.

Systems, methods, and computer readable media for determining cognitive impairment (CI) in patients are provided herein. Various regional structural-functional parameters of the retina can serve as biomarkers for the detection of CI. The method can include forming a database including a quantification of retinal structure and retinal function of a plurality of eyes associated with a plurality of patients, providing a baseline cognitive impairment (CI) reference. The method can include determining a measure of functionality of neurons in the retina based on an electroretinogram (ERG) of a patient. The method can include determining a structural measure of the first retina based on a generalized dimension spectrum and singularity spectrum of the skeletonized retinal image, and a lacunarity parameter of the skeletonized retinal image. The method can include determining a level of cognitive impairment based on the structural and functional measures.

A method of visualization, characterization, and detection of objects within an image by applying a local micro-contrast convergence algorithm to a first image to produce a second image that is different from the first image, wherein all like objects converge into similar patterns or colors in the second image.

A method of visualization, characterization, and detection of objects within an image by applying a local micro-contrast convergence algorithm to a first image to produce a second image that is different from the first image, wherein all like objects converge into similar patterns or colors in the second image.

Methods are herein provided for decision support in diagnosis of a disease in a subject, and for extracting features from a multi-slice data set. Systems for computer-aided diagnosis are provided. The systems take as input a plurality of medical data and produces as output a diagnosis based upon this data. The inputs may consist of a combination of image data and clinical data. Diagnosis is performed through feature selection and the use of one or more classifier algorithms.

Methods are herein provided for decision support in diagnosis of a disease in a subject, and for extracting features from a multi-slice data set. Systems for computer-aided diagnosis are provided. The systems take as input a plurality of medical data and produces as output a diagnosis based upon this data. The inputs may consist of a combination of image data and clinical data. Diagnosis is performed through feature selection and the use of one or more classifier algorithms.

The present invention relates to a method for characterizing perfusion abnormalities in tissue by means of fractal analysis (FA) of at least one part of an interface region between adequately and abnormally perfused tissue comprising the steps of providing an imaging dataset of perfusion imaging; wherein said imaging dataset visualizes the at least one part of the interface region; optional pre-processing of said imaging dataset; applying fractal analysis to the imaging dataset; wherein said fractal analysis provides at least one fractal parameter, preferably fractal dimension (FD), of the at least one part of the interface region.

The present invention relates to a method for characterizing perfusion abnormalities in tissue by means of fractal analysis (FA) of at least one part of an interface region between adequately and abnormally perfused tissue comprising the steps of providing an imaging dataset of perfusion imaging; wherein said imaging dataset visualizes the at least one part of the interface region; optional pre-processing of said imaging dataset; applying fractal analysis to the imaging dataset; wherein said fractal analysis provides at least one fractal parameter, preferably fractal dimension (FD), of the at least one part of the interface region.