Abstract: A hyperspectral imaging system can include a first hyperspectral imaging camera that is configured to provide first hyperspectral image data of an object in a first field of view. A second hyperspectral imaging camera can be separated from the first hyperspectral imaging camera, where the second hyperspectral imaging camera is configured to provide second hyperspectral image data of the object in a second field of view. A processor circuit can be operatively coupled to the first and second hyperspectral imaging cameras, where the processor circuit configured to combine the first and second hyperspectral image data to generate a hypercube of data for the object comprising spectral data included in the first and second hyperspectral image data.

Abstract: A miniaturized device providing hyperspectral imaging in real-time includes a body, a camera within the body, a micro-LED array arranged around the camera within the body, and an imaging controller within the body and coupled to the camera and the micro-LED array. The micro-LED array includes micro-LEDs of varying spectral bands. A method for controlling an imaging device includes providing LED timing information and LED intensity information to a micro-LED array, providing camera timing information to a camera for capturing a plurality of images, and receiving the plurality of images from the camera. The timing information includes a timing signal to each micro-LED of the micro-LED array and each timing signal includes a pulse. An image of the plurality of images is captured for a time period associated with each timing signal.

Abstract: A hyperspectral imaging system can include a first hyperspectral imaging camera that is configured to provide first hyperspectral image data of an object in a first field of view. A second hyperspectral imaging camera can be separated from the first hyperspectral imaging camera, where the second hyperspectral imaging camera is configured to provide second hyperspectral image data of the object in a second field of view. A processor circuit can be operatively coupled to the first and second hyperspectral imaging cameras, where the processor circuit configured to combine the first and second hyperspectral image data to generate a hypercube of data for the object comprising spectral data included in the first and second hyperspectral image data.

Abstract: A hyperspectral imaging system can include a first hyperspectral imaging camera that is configured to provide first hyperspectral image data of an object in a first field of view. A second hyperspectral imaging camera can be separated from the first hyperspectral imaging camera, where the second hyperspectral imaging camera is configured to provide second hyperspectral image data of the object in a second field of view. A processor circuit can be operatively coupled to the first and second hyperspectral imaging cameras, where the processor circuit configured to combine the first and second hyperspectral image data to generate a hypercube of data for the object comprising spectral data included in the first and second hyperspectral image data.

Abstract: Systems and methods are provided for label-free, real-time hyperspectral imaging (HSI) endoscopy for molecular-guided surgery of cancers without the need for an exogenous contrast agent. One device is a high-speed image mapping spectrometer integrated with a white-light reflectance fiberoptic bronchoscope. The imaging system has a parallel acquisition instrument that captures a hyperspectral datacube that may be pre-processed and features extracted and a discriminative feature set is selected and used for the classification of cancer and benign tissue. An algorithm that enables fast and accurate tissue classification may also be applied that utilizes a supervised deep-learning-based framework that is trained with the clinically visible tumor and benign tissue during surgery and then applied to identify the residual tumor.

Abstract: A miniaturized device providing hyperspectral imaging in real-time includes a body, a camera within the body, a micro-LED array arranged around the camera within the body, and an imaging controller within the body and coupled to the camera and the micro-LED array. The micro-LED array includes micro-LEDs of varying spectral bands. A method for controlling an imaging device includes providing LED timing information and LED intensity information to a micro-LED array, providing camera timing information to a camera for capturing a plurality of images, and receiving the plurality of images from the camera. The timing information includes a timing signal to each micro-LED of the micro-LED array and each timing signal includes a pulse. An image of the plurality of images is captured for a time period associated with each timing signal.

Abstract: A hyperspectral imaging system can include a first hyperspectral imaging camera that is configured to provide first hyperspectral image data of an object in a first field of view. A second hyperspectral imaging camera can be separated from the first hyperspectral imaging camera, where the second hyperspectral imaging camera is configured to provide second hyperspectral image data of the object in a second field of view. A processor circuit can be operatively coupled to the first and second hyperspectral imaging cameras, where the processor circuit configured to combine the first and second hyperspectral image data to generate a hypercube of data for the object comprising spectral data included in the first and second hyperspectral image data.

Abstract: Systems, methods, and computer-readable storage media relate to segmenting an image series of at least one image of a region of interest of a subject. The methods, systems, and computer readable storage media can automatically segment interior and exterior boundaries relative to the region of interest (e.g., epicardial and endocardial boundaries with respect to a right ventricle) from an image series by combining sparse matrix transform, a training model, and a localized region based level set function.

Abstract: Systems, methods and computer-readable storage mediums relate to segmenting MR images using multiscale bilateral filtering. Before the multiscale bilateral filtering, the MR images are transformed from the Image Domain to the Radon Domain.

Abstract: Systems, methods, and computer-readable storage media relate to segmenting an image series of at least one image of a region of interest of a subject. The methods, systems, and computer readable storage media can automatically segment interior and exterior boundaries relative to the region of interest (e.g., epicardial and endocardial boundaries with respect to a right ventricle) from an image series by combining sparse matrix transform, a training model, and a localized region based level set function.

Abstract: Systems, methods and computer-readable storage mediums relate to processing to segment ultrasound images of an object. The processing may be based on three different planes. The processing may include applying a wavelet transform to image data in each plane to extract the texture features; and applying a trained support vector machine to classify the texture features.

Abstract: A method is provided that comprises receiving a first digital radiography (DR) image of at least a portion of a body of a patient, receiving a second DR image of the at least a portion of a body of a patient, the first DR image being captured at a different energy level than the second DR image, and determining common control point locations for both the first and second DR images. The method further comprises generating an optimized DR image by moving portions of a selected one of the first and second DR images with its associated control points to locations that correspond to similar portions of the other of the first and second DR images, applying deformable transformation to one of the first and second DR images and performing a log subtraction on the first and second DR image to generate a dual-energy digital radiography (DEDR) image.

Abstract: Systems, methods, and computer-readable storage media relate to providing image guidance that can improve the accuracy of interventional procedures, such biopsy sampling, for example, by accurately providing location information to guide the biopsy needle image. The systems, methods, and computer-readable storage media include generating a 3D multi-modality image that includes a pre-procedure reference image and an ultrasound image; and displaying at least one view, one of the views including a display in-real-time of a position of the interventional device on the multi-modality image with respect to the target site during the procedure.

Abstract: Systems, methods and computer-readable storage mediums relate to segmenting MR images using multiscale bilateral filtering. Before the multiscale bilateral filtering, the MR images are transformed from the Image Domain to the Radon Domain.

Abstract: A method is provided that comprises receiving a first digital radiography (DR) image of at least a portion of a body of a patient, receiving a second DR image of the at least a portion of a body of a patient, the first DR image being captured at a different energy level than the second DR image, and determining common control point locations for both the first and second DR images. The method further comprises generating an optimized DR image by moving portions of a selected one of the first and second DR images with its associated control points to locations that correspond to similar portions of the other of the first and second DR images, applying deformable transformation to one of the first and second DR images and performing a log subtraction on the first and second DR image to generate a dual-energy digital radiography (DEDR) image.

Abstract: Systems and methods for generating images for identifying diseases are provided. In one embodiment, a method comprises receiving a first digital radiography (DR) image of at least a portion of a body of a patient, receiving a second DR image of the at least a portion of a body of a patient, the first DR image being captured at a different energy level than the second DR image, and determining common control point locations for both the first and second DR images. The method further comprises generating an optimized DR image by moving portions of a selected one of the first and second DR images with its associated control points to locations that correspond to similar portions of the other of the first and second DR images, applying deformable transformation to one of the first and second DR images and performing a log subtraction on the first and second DR image to generate a dual-energy digital radiography (DEDR) image.

Abstract: Systems and methods for generating images for identifying diseases are provided. In one embodiment, a method comprises receiving a first digital radiography (DR) image of at least a portion of a body of a patient, receiving a second DR image of the at least a portion of a body of a patient, the first DR image being captured at a different energy level than the second DR image, and determining common control point locations for both the first and second DR images. The method further comprises generating an optimized DR image by moving portions of a selected one of the first and second DR images with its associated control points to locations that correspond to similar portions of the other of the first and second DR images, applying deformable transformation to one of the first and second DR images and performing a log subtraction on the first and second DR image to generate a dual-energy digital radiography (DEDR) image.