Abstract: A process for determining whether tissue is precancer, in which tests discriminating between precancer and benign tissue and between precancer and normal tissue are combined, and tissue that is classified as precancer in both tests is determined to be precancer, in which neither of the tests to be combined is the most selective. Further, a process and device in which certain optimal wavelengths of glycogen, phosphate and lipid, but not protein, discriminate between normal and precancer tissues.

Abstract: Automated image quality assessment algorithms, which perform the functions of locating a region of interest, maximizing the image contrast, and ensuring the region of interest is properly centered in the image. Wherein the region of interest is located by spectral matching filter using a target spectrum obtained from samples of the image itself.

Abstract: The present invention is a diagnosis support system providing automated guidance to a user by automated retrieval of similar disease images and user feedback. High resolution standardized labeled and unlabeled, annotated and non-annotated images of diseased tissue in a database are clustered, preferably with expert feedback. An image retrieval application automatically computes image signatures for a query image and a representative image from each cluster, by segmenting the images into regions and extracting image features in the regions to produce feature vectors, and then comparing the feature vectors using a similarity measure. Preferably the features of the image signatures are extended beyond shape, color and texture of regions, by features specific to the disease. Optionally, the most discriminative features are used in creating the image signatures. A list of the most similar images is returned in response to a query. Keyword query is also supported.

Abstract: A method for differentiating cancerous lesions from surrounding tissue, which includes extracting an opacity parameter from acetowhite regions of pre acetic acid and post acetic acid images of a cervix.

Abstract: A process for determining whether tissue is precancer, in which tests discriminating between precancer and benign tissue and between precancer and normal tissue are combined, and tissue that is classified as precancer in both tests is determined to be precancer, in which neither of the tests to be combined is the most selective. Further, a process and device in which certain optimal wavelengths of glycogen, phosphate and lipid, but not protein, discriminate between normal and precancer tissues.

Abstract: Uterine cervical cancer Computer-Aided-Diagnosis (CAD) according to this invention consists of a core processing system that automatically analyses data acquired from the uterine cervix and provides tissue and patient diagnosis, as well as adequacy of the examination. The data can include, but is not limited to, color still images or video, reflectance and fluorescence multi-spectral or hyper-spectral imagery, coherent optical tomography imagery, and impedance measurements, taken with and without the use of contrast agents like 3-5% acetic acid, Lugol's iodine, or 5-aminolevulinic acid. The core processing system is based on an open, modular, and feature-based architecture, designed for multi-data, multi-sensor, and multi-feature fusion. The core processing system can be embedded in different CAD system realizations.

Abstract: Uterine cervical cancer Computer-Aided-Diagnosis (CAD) according to this invention consists of a core processing system that automatically analyses data acquired from the uterine cervix and provides tissue and patient diagnosis, as well as adequacy of the examination. The data can include, but is not limited to, color still images or video, reflectance and fluorescence multi-spectral or hyper-spectral imagery, coherent optical tomography imagery, and impedance measurements, taken with and without the use of contrast agents like 3-5% acetic acid, Lugol's iodine, or 5-aminolevulinic acid. The core processing system is based on an open, modular, and feature-based architecture, designed for multi-data, multi-sensor, and multi-feature fusion. The core processing system can be embedded in different CAD system realizations.

Abstract: A method for differentiating cancerous lesions from surrounding tissue, which includes extracting an opacity parameter from acetowhite regions of pre acetic acid and post acetic acid images of a cervix.

Abstract: Automated image quality assessment methods, which include locating a region of interest, region assessment, contrast assessment, blur assessment, and contaminant detection, on video data and high-resolution imagery. Where the blur assessment is performed without a reference image by dividing the region into non-overlapping block, measuring the wavenumber frequency of the blocks and calculating the ratio of the low frequency to high frequency areas.

Abstract: Automated image quality assessment algorithms, which perform the functions of locating a region of interest, maximizing the image contrast, and ensuring the region of interest is properly centered in the image. Wherein the region of interest is located by spectral matching filter using a target spectrum obtained from samples of the image itself.

Abstract: The invention provides a device and process for real-time screening of areas that can be identified as suspicious either through image segmentation utilizing image processing techniques or through treatment with an exogenous fluorescent marker that selectively localizes in abnormal areas. If screening detects a suspicious area, then the invention allows acquiring of autofluorescence images at multiple selected narrow differentiating spectral bands so that a “virtual biopsy” can be obtained to differentiate abnormal areas from normal areas based on differentiating portions of autofluorescence spectra. Full spatial information is collected, but autofluorescence data is collected only at the selected narrow spectral bands, avoiding the collection of full spectral data, so that the speed of analysis is increased.

Abstract: The invention provides a device and process for real-time screening of areas that can be identified as suspicious either through image segmentation utilizing image processing techniques or through treatment with an exogenous fluorescent marker that selectively localizes in abnormal areas. If screening detects a suspicious area, then the invention allows acquiring of autofluorescence images at multiple selected narrow differentiating spectral bands so that a “virtual biopsy” can be obtained to differentiate abnormal areas from normal areas based on differentiating portions of autofluorescence spectra. Full spatial information is collected, but autofluorescence data is collected only at the selected narrow spectral bands, avoiding the collection of full spectral data, so that the speed of analysis is increased.

Abstract: Multi-spectral imaging will be done using a solid-state detector array (e.g. a CCD), a mosaic filter mask and simple collection optics.