Abstract: Devices, such as computer readable media, and methods, such as automated methods, for labeling and/or matching. Some of the devices and methods are particularly useful for anatomical labeling of human airway trees. Some of the devices and methods are particularly useful for matching branch-points of human airway trees from represented in two or more graphs.

Abstract: Devices, such as computer readable media, and methods, such as automated methods, for labeling and/or matching. Some of the devices and methods are particularly useful for anatomical labeling of human airway trees. Some of the devices and methods are particularly useful for matching branch-points of human airway trees from represented in two or more graphs.

Abstract: An image of an object is synergistically reconstructed using two or multiple imaging modalities. A first reconstructed image, showing structural information of the object is produced using a first imaging modality. The first reconstructed image is segmented, and known optical properties of the object are then mapped to the first reconstructed image. Optical signal emissions from the object are detected and registered with the first reconstructed image. A second reconstructed image volume is then produced using a second imaging modality, based on the mapped optical properties after registration between the first image and the data from the second modality. The second reconstructed image depicts some optical property, such as a bioluminescent source distribution, or optical properties, such as, attenuation and scattering properties, of the object.

Abstract: Devices, such as computer readable media, and methods, such as automated methods, for labeling and/or matching. Some of the devices and methods are particularly useful for anatomical labeling of human airway trees. Some of the devices and methods are particularly useful for matching branch-points of human airway trees from represented in two or more graphs.

Abstract: An image of an object is synergistically reconstructed using two or multiple imaging modalities. A first reconstructed image, showing structural information of the object is produced using a first imaging modality. The first reconstructed image is segmented, and known optical properties of the object are then mapped to the first reconstructed image. Optical signal emissions from the object are detected and registered with the first reconstructed image. A second reconstructed image volume is then produced using a second imaging modality, based on the mapped optical properties after registration between the first image and the data from the second modality. The second reconstructed image depicts some optical property, such as a bioluminescent source distribution, or optical properties, such as, attenuation and scattering properties, of the object.

Abstract: Devices, such as computer readable media, and methods, such as automated methods, for labeling and/or matching. Some of the devices and methods are particularly useful for anatomical labeling of human airway trees. Some of the devices and methods are particularly useful for matching branch-points of human airway trees from represented in two or more graphs.

Abstract: Devices, such as computer readable media, and methods, such as automated methods, for labeling and/or matching. Some of the devices and methods are particularly useful for anatomical labeling of human airway trees. Some of the devices and methods are particularly useful for matching branch-points of human airway trees from represented in two or more graphs.

Abstract: An image of an object is synergistically reconstructed using two or multiple imaging modalities. A first reconstructed image, showing structural information of the object is produced using a first imaging modality. The first reconstructed image is segmented, and known optical properties of the object are then mapped to the first reconstructed image. Optical signal emissions from the object are detected and registered with the first reconstructed image. A second reconstructed image volume is then produced using a second imaging modality, based on the mapped optical properties after registration between the first image and the data from the second modality. The second reconstructed image depicts some optical property, such as a bioluminescent source distribution, or optical properties, such as, attenuation and scattering properties, of the object.

Abstract: An image of an object is synergistically reconstructed using two or multiple imaging modalities. A first reconstructed image, showing structural information of the object is produced using a first imaging modality. The first reconstructed image is segmented, and known optical properties of the object are then mapped to the first reconstructed image. Optical signal emissions from the object are detected and registered with the first reconstructed image. A second reconstructed image volume is then produced using a second imaging modality, based on the mapped optical properties after registration between the first image and the data from the second modality. The second reconstructed image depicts some optical property, such as a bioluminescent source distribution, or optical properties, such as, attenuation and scattering properties, of the object.

Abstract: Automated methods for segmenting and smoothing volumes of interest, such as the mediastinal boundary of a lung. Devices and systems configured to perform the automated methods.

Abstract: A method for automated analysis of textural differences present on an image volume. The image volume includes a plurality of volume elements, and each volume element has a gray level. The method includes defining a volume of interest (VOI); performing texture measures within the VOI; and classifying the VOI as belonging to a tissue pathology class based upon the texture measures. Computer readable media encoded with computer readable instructions for carrying out these functions. An apparatus that includes an image input adapted to receive a diagnostic medical image. The image includes a plurality of pixels, and each pixel has a particular gray level. The apparatus also includes a display for displaying a graphical user interface and the received image; and a processor adapted to perform texture measures on one or more groups of pixels within the image and classify each group of pixels to a tissue pathology class based upon the textures measures.

Abstract: In one embodiment, a method that includes comparing a subject color medical image to normal color medical image data; and identifying abnormal pixels from the subject color medical image. Another embodiment includes a computer readable medium comprising machine readable instructions for implementing one or more steps of that method. Another embodiment includes a device that has a field programmable gate array configured to perform one or more of the steps of that method. Another embodiment includes a device that has an application specific integrated circuit configured to perform one or more of the steps of that method.

Abstract: In one embodiment, a method that includes comparing a subject color medical image to normal color medical image data; and identifying abnormal pixels from the subject color medical image. Another embodiment includes a computer readable medium comprising machine readable instructions for implementing one or more steps of that method. Another embodiment includes a device that has a field programmable gate array configured to perform one or more of the steps of that method. Another embodiment includes a device that has an application specific integrated circuit configured to perform one or more of the steps of that method.

Abstract: An elongate imaging fiber bundle may include a plurality of elongate optical fibers coherently arranged in the bundle, the plurality including peripheral fibers at a periphery of the bundle and deep fibers deep to the peripheral fibers, and a coating surrounding the plurality of fibers. An exposed length of the bundle, intermediate the bundle's proximal and distal ends, may be chemically etched to be denuded of the coating, and peripheral fibers are so severed as to permit injection of light into the peripheral fibers at the exposed length. A fiberscope may include a fiber bundle having an exposed length that is denuded of the coating, and peripheral fibers are so severed in the exposed length as to permit injection of light into the peripheral fibers at the exposed length, and a light source so positioned with respect to the exposed length of the bundle as to inject light into the peripheral fibers at the exposed length.

Abstract: An elongate imaging fiber bundle may include a plurality of elongate optical fibers coherently arranged in the bundle, the plurality including peripheral fibers at a periphery of the bundle and deep fibers deep to the peripheral fibers, and a coating surrounding the plurality of fibers. An exposed length of the bundle, intermediate the bundle's proximal and distal ends, may be chemically etched to be denuded of the coating, and peripheral fibers are so severed as to permit injection of light into the peripheral fibers at the exposed length. A fiberscope may include a fiber bundle having an exposed length that is denuded of the coating, and peripheral fibers are so severed in the exposed length as to permit injection of light into the peripheral fibers at the exposed length, and a light source so positioned with respect to the exposed length of the bundle as to inject light into the peripheral fibers at the exposed length.

Abstract: Treatment planning methods, devices and systems. One of the treatment planning methods includes displaying at least a portion of a set of lungs and one or more potential treatment regions; receiving a selection of a target treatment region from among the one or more potential treatment regions; and displaying one or more locations within the portion that are therapeutically linked to the target treatment region. Other treatment planning methods, devices and systems are included.

Abstract: Automated methods for segmenting and smoothing volumes of interest, such as the mediastinal boundary of a lung. Devices and systems configured to perform the automated methods.

Abstract: Devices, such as computer readable media, and methods, such as automated methods, for labeling and/or matching. Some of the devices and methods are particularly useful for anatomical labeling of human airway trees. Some of the devices and methods are particularly useful for matching branch-points of human airway trees from represented in two or more graphs.

Abstract: In one embodiment, a method that includes comparing a subject color medical image to normal color medical image data; and identifying abnormal pixels from the subject color medical image. Another embodiment includes a computer readable medium comprising machine readable instructions for implementing one or more steps of that method. Another embodiment includes a device that has a field programmable gate array configured to perform one or more of the steps of that method. Another embodiment includes a device that has an application specific integrated circuit configured to perform one or more of the steps of that method.

Abstract: An image of an object is synergistically reconstructed using two or multiple imaging modalities. A first reconstructed image, showing structural information of the object is produced using a first imaging modality. The first reconstructed image is segmented, and known optical properties of the object are then mapped to the first reconstructed image. Optical signal emissions from the object are detected and registered with the first reconstructed image. A second reconstructed image volume is then produced using a second imaging modality, based on the mapped optical properties after registration between the first image and the data from the second modality. The second reconstructed image depicts some optical property, such as a bioluminescent source distribution, or optical properties, such as, attenuation and scattering properties, of the object.