Abstract: A method for detecting, quantifying, staging, reporting, and/or tracking of a disease includes providing analysis software configured to detect, quantify, stage, report, and/or track a disease utilizing images of a patient. The analysis software is executable on a personal computer of a patient. Patients are then imaged utilizing a medical imaging apparatus and medical images of the patient produced by the imaging apparatus are downloaded to the personal computer of the patient. The imaging and downloading are repeated a plurality of times at intervals selected to provide the analysis software with sufficient images to detect, quantify, stage, report, and/or track the disease in the patient.

Abstract: A method for measuring tubular anatomical structures, for example lung airways, comprises isolating by at least one segmentation process a given tubular anatomical structure of interest and measuring at least one attribute of the structure of interest. A system for measuring lung airways using acquired image data is provided. The system comprises an imaging device for acquiring the image data and an image processing device coupled to the imaging device. The imaging processing device is configured for isolating by at least one segmentation process a given airway of interest, fitting an inner ellipse to an inner boundary of the given airway and an outer ellipse to an outer boundary of the airway structure using statistical techniques at a given point in the airway, and further configured for generating measurements of the given airway using the inner and outer ellipses.

Abstract: A method for processing medical images for use in the detection and diagnosis of disease comprises classifying regions of interest within the medical images based on a hierarchy of anatomical models and signal models of signal information of an image acquisition device used to acquire the medical images. The anatomical models are derived to be representative of anatomical information indicative of a given disease. A computer-aided system for use in the diagnosis and detection of disease comprises an image acquisition device for acquiring a plurality of image data sets and a processor adapted to process the image data sets. The processor is adapted to classify selected tissue types within the image data sets based on a hierarchy of signal and anatomical models and the processor is further adapted to differentiate anatomical context of the classified tissue types for use in the diagnosis and detection of disease.

Abstract: A method for detecting, quantifying, staging, reporting, and/or tracking of a disease includes providing analysis software configured to detect, quantify, stage, report, and/or track a disease utilizing images of a patient. The analysis software is executable on a personal computer of a patient. Patients are then imaged utilizing a medical imaging apparatus and medical images of the patient produced by the imaging apparatus are downloaded to the personal computer of the patient. The imaging and downloading are repeated a plurality of times at intervals selected to provide the analysis software with sufficient images to detect, quantify, stage, report, and/or track the disease in the patient.

Abstract: A method for increasing the dynamic light intensity range of an image by combining pixel data from multiple images collected at different levels of illumination intensity to create a single floating-point image representation of an observed scene.

Abstract: A method for measuring tubular anatomical structures, for example lung airways, comprises isolating by at least one segmentation process a given tubular anatomical structure of interest and measuring at least one attribute of the structure of interest. A system for measuring lung airways using acquired image data is provided. The system comprises an imaging device for acquiring the image data and an image processing device coupled to the imaging device. The imaging processing device is configured for isolating by at least one segmentation process a given airway of interest, fitting an inner ellipse to an inner boundary of the given airway and an outer ellipse to an outer boundary of the airway structure using statistical techniques at a given point in the airway, and further configured for generating measurements of the given airway using the inner and outer ellipses.

Abstract: A method for increasing the dynamic light intensity range of an image by combining pixel data from multiple images collected at different levels of illumination intensity to create a single floating-point image representation of an observed scene.

Abstract: A method for processing medical images for use in the detection and diagnosis of disease comprises classifying regions of interest within the medical images based on a hierarchy of anatomical models and signal models of signal information of an image acquisition device used to acquire the medical images. The anatomical models are derived to be representative of anatomical information indicative of a given disease. A computer-aided system for use in the diagnosis and detection of disease comprises an image acquisition device for acquiring a plurality of image data sets and a processor adapted to process the image data sets. The processor is adapted to classify selected tissue types within the image data sets based on a hierarchy of signal and anatomical models and the processor is further adapted to differentiate anatomical context of the classified tissue types for use in the diagnosis and detection of disease.

Abstract: A method of detecting abnormalities including a learning phase and an inspection phase. In the learning phase, a first statistical quantity and a second statistical quantity are determined based on a first set of n-dimensional data. A second set of n-dimensional data is obtained and a bimodal distribution for a plurality of n-dimensional points in each of the second set of n-dimensional data is determined. A reference template is generated in response to the first statistical quantity, second statistical quantity and bimodal distribution. In the inspection phase, n-dimensional test data to be inspected for abnormalities is obtained and compared to the reference template to detect abnormalities.