Abstract: Embodiments of the present invention provide a system and method to automatically screen images from a plurality of fundus cameras for a plurality of retinal diseases. The system comprises stacked autoencoders, amplitude modulation-frequency modulation filters, and artificial neural networks. An embodiment of the present invention uses a multi-class classifier, such as a support vector machine (multi-class SVM) classifier, to determine a plurality of retinal pathologies. An exemplary embodiment of the present invention is validated on a proprietary database of thousands of images (for example over 250,000 retinal images) from multiple cameras, ranging from the table-top fundus cameras to portable hand-held cameras.

Abstract: Systems and methods of obtaining and recording fundus images by minimally trained persons, which includes a camera for obtaining images of a fundus of a subject's eye, in combination with mathematical methods to assign real time image quality classification to the images obtained based upon a set of criteria. The classified images will be further processed if the classified images are of sufficient image quality for clinical interpretation by machine-coded and/or human-based methods. Such systems and methods can thus automatically determine whether the quality of a retinal image is sufficient for computer-based eye disease screening. The system integrates global histogram features, textural features, and vessel density, as well as a local non-reference perceptual sharpness metric. A partial least square (PLS) classifier is trained to distinguish low quality images from normal quality images.

Abstract: Systems and methods of obtaining and recording fundus images by minimally trained persons, which includes a camera for obtaining images of a fundus of a subject's eye, in combination with mathematical methods to assign real time image quality classification to the images obtained based upon a set of criteria. The classified images will be further processed if the classified images are of sufficient image quality for clinical interpretation by machine-coded and/or human-based methods. Such systems and methods can thus automatically determine whether the quality of a retinal image is sufficient for computer-based eye disease screening. The system integrates global histogram features, textural features, and vessel density, as well as a local non-reference perceptual sharpness metric. A partial least square (PLS) classifier is trained to distinguish low quality images from normal quality images.

Abstract: A system and method for assessing a peripheral neuropathy risk wherein the system and method according to one embodiment of the present invention detects abnormality which may be directed to a probability, a stage, a category, or other indicator as to the degree of progression of the disease.

Abstract: Image and video processing using multi-scale amplitude-modulation frequency-modulation (“AM-FM”) demodulation where a multi-scale filterbank with bandpass filters that correspond to each scale are used to calculate estimates for instantaneous amplitude, instantaneous phase, and instantaneous frequency. The image and video are reconstructed using the instantaneous amplitude and instantaneous frequency estimates and variable-spacing local linear phase and multi-scale least square reconstruction techniques. AM-FM demodulation is applicable in imaging modalities such as electron microscopy, spectral and hyperspectral devices, ultrasound, magnetic resonance imaging (“MRI”), positron emission tomography (“PET”), histology, color and monochrome images, molecular imaging, radiographs (“X-rays”), computer tomography (“CT”), and others.

Abstract: Medical images are automatically segmented by customizing the morphological segmentation of features identified in the image based upon statistical analysis of the features within each region to be analyzed. The statistical description of the features, as reported through a feature vector, informs the system as to which input variables to select for further segmentation analysis for features residing within the region of the image analyzed. By customizing the automatic segmentation analysis to produce an enhanced image, features within the image are characterized more efficiently and precisely. False positive identification of lesions are minimized without sacrifice of true positive identifications.

Abstract: An enhanced entropy camera provides enhanced image quality by utilizing a custom analog-to-digital conversion function. The analog-to-digital conversion occurs according to a custom non-linear quantization function that provides enhanced entropy in the digitized image, yet avoids the harsh artifacts that tend to arise in images quantized according to a maximum entropy function. A plurality of custom non-linear functions are made available for selection depending upon imaging conditions, such as light intensity, pigmentation of the retina, or the part of the retina being imaged. Each of the plural non-linear quantization function comprises a distinct non-linear look up table for each of plural bands (e.g., red, green, and blue color channels).

Abstract: An enhanced entropy camera provides enhanced image quality by utilizing a custom analog-to-digital conversion function. The analog-to-digital conversion occurs according to a custom non-linear quantization function that provides enhanced entropy in the digitized image, yet avoids the harsh artifacts that tend to arise in images quantized according to a maximum entropy function. A plurality of custom non-linear functions are made available for selection depending upon imaging conditions, such as light intensity, pigmentation of the retina, or the part of the retina being imaged. Each of the plural non-linear quantization function comprises a distinct non-linear look up table for each of plural bands (e.g., red, green, and blue color channels).

Abstract: An enhanced entropy camera provides enhanced image quality by utilizing a custom analog-to-digital conversion function. The analog-to-digital conversion occurs according to a custom non-linear quantization function that provides enhanced entropy in the digitized image, yet avoids the harsh artifacts that tend to arise in images quantized according to a maximum entropy function. A plurality of custom non-linear functions are made available for selection depending upon imaging conditions, such as light intensity, pigmentation of the retina, or the part of the retina being imaged. Each of the plural non-linear quantization function comprises a distinct non-linear look up table for each of plural bands (e.g., red, green, and blue color channels).

Abstract: A system and method for detecting a functional signal in retinal images. An optical imaging device comprises a stimulation light source, an interrogating light source, and a detector. The retina is stimulated by the stimulation light source. The retina is then illuminated by an interrogation light, and the reflected intensity from the retina is measured at an interrogating spectral band that indicates the state of hemoglobin saturation before and after visual stimulation. The optical changes that result from retinal neuronal activity are captured by the detector. The signal representing the state of hemoglobin saturation before and after visual stimulation is isolated. In an embodiment of the present invention, this signal is isolated using principle components analysis (PCA).

Abstract: A system and method for detecting a functional signal in retinal images. An optical imaging device comprises a stimulation light source, an interrogating light source, and a detector. The retina is stimulated by the stimulation light source. The retina is then illuminated by an interrogation light, and the reflected intensity from the retina is measured at an interrogating spectral band that indicates the state of hemoglobin saturation before and after visual stimulation. The optical changes that result from retinal neuronal activity are captured by the detector. The signal representing the state of hemoglobin saturation before and after visual stimulation is isolated. In an embodiment of the present invention, this signal is isolated using principle components analysis (PCA).

Abstract: An Optical Imaging Device of Retinal Function has been developed to detect changes in reflectance of near infrared light from the retina of human subjects in response to visual activation of the retina by a pattern stimulus. The measured changes in reflectance correspond in time to the onset and offset of the visual stimulus in the portion of the retina being stimulated. Any changes in reflectance can be measured by interrogating the retina with a light source. The light source may be presented to the retina via the cornea and pupil or through other tissues in and around the eye. Different wavelengths of interrogating light may be used to interrogate various layers of the retina. Additionally, various novel patterns and methods of stimulation have been developed for use with the imaging device and methods.

Abstract: An Optical Imaging Device of Retinal Function has been developed to detect changes in reflectance of near infrared light from the retina of human subjects in response to visual activation of the retina by a pattern stimulus. The measured changes in reflectance correspond in time to the onset and offset of the visual stimulus in the portion of the retina being stimulated. Any changes in reflectance can be measured by interrogating the retina with a light source. The light source may be presented to the retina via the cornea and pupil or through other tissues in and around the eye. Different wavelengths of interrogating light may be used to interrogate various layers of the retina. Additionally, various novel patterns and methods of stimulation have been developed for use with the imaging device and methods.

Abstract: An ophthalmic instrument (for obtaining high resolution, wide field of area hyperspectral retinal images for various sized eyes) includes a fundus retinal imager, (which includes optics for illuminating and imaging the retina of the eye); apparatus for generating a real time image of the area being imaged and the location of the hyperspectral region of interest; a high efficiency spatially modulated common path Fourier transform hyperspectral imager, a high resolution detector optically coupled to the hyperspectral and fundus imager optics; and a computer (which is connected to the real time scene imager, the illumination source, and the high resolution camera) including an algorithm for recovery and calibration of the hyperspectral images.

Abstract: A system and method for detecting a functional signal in retinal images. An optical imaging device comprises a stimulation light source, an interrogating light source, and a detector. The retina is stimulated by the stimulation light source. The retina is then illuminated by an interrogation light, and the reflected intensity from the retina is measured at an interrogating spectral band that indicates the state of hemoglobin saturation before and after visual stimulation. The optical changes that result from retinal neuronal activity are captured by the detector. The signal representing the state of hemoglobin saturation before and after visual stimulation is isolated. In an embodiment of the present invention, this signal is isolated using principle components analysis (PCA).

Abstract: A system and method of automated analysis of human retinopathy. Stereo images of a retina are obtained at different times. Topography of the retina is obtained from analysis of the stereo image pair. Cupping of the retina is then ascertained and is indicative of the progression and severity of various retinopathies. Disparity mapping of the retina from the various images are also obtained from the images and compared at different times to assess how retinal disparities are changing as yet another indicator of the progression of retinopathies.

Abstract: An ophthalmic instrument (for obtaining high resolution, wide field of area hyperspectral retinal images for various sized eyes) includes a fundus retinal imager, (which includes optics for illuminating and imaging the retina of the eye); apparatus for generating a real time image of the area being imaged and the location of the hyperspectral region of interest; a high efficiency spatially modulated common path Fourier transform hyperspectral imager, a high resolution detector optically coupled to the hyperspectral and fundus imager optics; and a computer (which is connected to the real time scene imager, the illumination source, and the high resolution camera) including an algorithm for recovery and calibration of the hyperspectral images.

Abstract: An Optical Imaging Device of Retinal Function has been developed to detect changes in reflectance of near infrared light from the retina of human subjects in response to visual activation of the retina by a pattern stimulus. The measured changes in reflectance correspond in time to the onset and offset of the visual stimulus in the portion of the retina being stimulated. Any changes in reflectance can be measured by interrogating the retina with a light source. The light source may be presented to the retina via the cornea and pupil or through other tissues in and around the eye. Different wavelengths of interrogating light may be used to interrogate various layers of the retina. Additionally, various novel patterns and methods of stimulation have been developed for use with the imaging device and methods.

Abstract: An enhanced entropy camera provides enhanced image quality by utilizing a custom analog-to-digital conversion function. The analog-to-digital conversion occurs according to a custom non-linear quantization function that provides enhanced entropy in the digitized image, yet avoids the harsh artifacts that tend to arise in images quantized according to a maximum entropy function. A plurality of custom non-linear functions are made available for selection depending upon imaging conditions, such as light intensity, pigmentation of the retina, or the part of the retina being imaged. Each of the plural non-linear quantization function comprises a distinct non-linear look up table for each of plural bands (e.g., red, green, and blue color channels).