Abstract: Method and apparatus for scanning a region of interest (ROI) by a gamma detector. An exemplary method includes determining, for each of multiple detector configurations, a respective weight based on an absorption profile, associating each of a plurality of portions of the ROI with a respective gamma attenuation value; and detecting gamma radiation from multiple detector configurations for time periods allocated among the detector configurations based on the weights determined.

Abstract: Described are methods and systems for scanning at least a portion of a patient with a gamma detector mounted on an arm extending towards the patient. One described method includes: obtaining data indicative or coordinates of points on the outer surface of the patient; determining a target position for the gamma detector based on the data indicative, of the coordinates; and causing the gamma detector to detect gamma radiation from the patient when the gamma detector is at the target position.

Abstract: Method and apparatus for scanning a region of interest (ROI) by a gamma detector. An exemplary method includes determining, for each of multiple detector configurations, a respective weight based on an absorption profile, associating each of a plurality of portions of the ROI with a respective gamma attenuation value; and detecting gamma radiation from multiple detector configurations for time periods allocated among the detector configurations based on the weights determined.

Abstract: Method and apparatus for scanning a region of interest (ROI) by a gamma detector. An exemplary method includes determining, for each of multiple detector configurations, a respective weight based on an absorption profile, associating each of a plurality of portions of the ROI with a respective gamma attenuation value; and detecting gamma radiation from multiple detector configurations for time periods allocated among the detector configurations based on the weights determined.

Abstract: Various methods and systems are provided for a healthcare provider assistance system. In one example, a system includes a machine-human interface, wherein the machine-human interface is a display, and a computing device operably coupled to the machine-human interface and configured to execute instructions stored in memory to: execute a plurality of different algorithms in complementary, competitive, or aggregated modes, where inputs to each of the plurality of different algorithms include current and past data representing a health and current condition of a patient; output, to the machine-human interface, a list of a first number of possible diagnoses of the patient based on outputs of the executed plurality of different algorithms; and present, via the machine-human interface, suggested next actions to narrow down the first number of possible diagnoses, the suggested next actions determined based on the outputs of the executed plurality of different algorithms.

Abstract: Method and apparatus for scanning a region of interest (ROI) by a gamma detector. An exemplary method includes determining, for each of multiple detector configurations, a respective weight based on an absorption profile, associating each of a plurality of portions of the ROI with a respective gamma attenuation value; and detecting gamma radiation from multiple detector configurations for time periods allocated among the detector configurations based on the weights determined.

Abstract: Various methods and systems are provided for a healthcare provider assistance system. In one example, a system includes a machine-human interface and a computing device operably coupled to the machine-human interface and configured to execute instructions stored in memory to: execute a plurality of different algorithms where inputs to each of the plurality of different algorithms include current and past data representing a health and current condition of a patient, where each of the plurality of different algorithms uses the same data, or a subset of the same data, for the inputs; output, to the machine-human interface, a list of a first number of possible diagnoses of the patient based on outputs of the executed plurality of different algorithms; and present, via the machine-human interface, suggested next actions to narrow down the first number of possible diagnoses, the suggested next actions determined based on the outputs of the executed plurality of different algorithms.

Abstract: Method and apparatus for scanning a region of interest (ROI) by a gamma detector. An exemplary method includes determining, for each of multiple detector configurations, a respective weight based on an absorption profile, associating each of a plurality of portions of the ROI with a respective gamma attenuation value; and detecting gamma radiation from multiple detector configurations for time periods allocated among the detector configurations based on the weights determined.

Abstract: Described are methods and systems for scanning at least a portion of a patient with a gamma detector mounted on an arm extending towards the patient. One described method includes: obtaining data indicative or coordinates of points on the outer surface of the patient; determining a target position for the gamma detector based on the data indicative, of the coordinates; and causing the gamma detector to detect gamma radiation from the patient when the gamma detector is at the target position.

Abstract: Described are methods and systems for scanning at least a portion of a patient with a gamma detector mounted on an arm extending towards the patient. One described method includes: obtaining data indicative or coordinates of points on the outer surface of the patient; determining a target position for the gamma detector based on the data indicative, of the coordinates; and causing the gamma detector to detect gamma radiation from the patient when the gamma detector is at the target position.

Abstract: Described are methods and systems for scanning at least a portion of a patient with a gamma detector mounted on an arm extending towards the patient. One described method includes: obtaining data indicative or coordinates of points on the outer surface of the patient; determining a target position for the gamma detector based on the data indicative, of the coordinates; and causing the gamma detector to detect gamma radiation from the patient when the gamma detector is at the target position.

Abstract: Various methods and systems are provided for a healthcare provider assistance system. In one example, a system includes a machine-human interface and a computing device operably coupled to the machine-human interface and configured to execute instructions stored in memory to: execute a plurality of different algorithms where inputs to each of the plurality of different algorithms include current and past data representing a health and current condition of a patient, where each of the plurality of different algorithms uses the same data, or a subset of the same data, for the inputs; output, to the machine-human interface, a list of a first number of possible diagnoses of the patient based on outputs of the executed plurality of different algorithms; and present, via the machine-human interface, suggested next actions to narrow down the first number of possible diagnoses, the suggested next actions determined based on the outputs of the executed plurality of different algorithms.

Abstract: A method of processing a SPECT image of a region of interest is disclosed. The SPECT image was obtained using at least one gamma detector detecting gamma radiation from the region of interest at multiple detector configurations, and the method includes: obtaining data indicative of the detector configurations and their spatial relationships to the region of interest; determining a resolution level for each of a plurality of directions in each point in the image based on the data obtained; and processing the image based on the resolution levels determined.

Abstract: Method and apparatus for scanning a region of interest (ROI) by a gamma detector. An exemplary method includes determining, for each of multiple detector configurations, a respective weight based on an absorption profile, associating each of a plurality of portions of the ROI with a respective gamma attenuation value; and detecting gamma radiation from multiple detector configurations for time periods allocated among the detector configurations based on the weights determined.

Abstract: There is provided a method for generating a 3D reconstruction of an internal surface of a hollow lumen, comprising: generating a light pattern having a code denoting angular positions; projecting the light pattern onto an internal surface of a tubular lumen; receiving reflections of the light pattern from the internal surface of the tubular lumen; identifying angular positions of the light pattern based on the code; and generating a 3D reconstruction of the internal surface from the received light pattern reflections based on the identified angular positions.

Abstract: There is provided a method for estimating semi-transparent object(s) from an image comprising: receiving an image having semi-transparent and overlaid object(s) for estimation; calculating a probability map of the object(s), the probability map comprising multiple pixels corresponding to the plurality of pixels of the received image, wherein each probability map pixel has a value proportional to the probability that the pixel of the received image contains the object(s); calculating an approximation image of an object suppressed image based on the object probability map, wherein the approximation image is substantially equal to corresponding regions of the received image at portions with low probability values, and the approximation image denotes a smooth approximation of the image with the object(s) suppressed at portions with high probability values of the object probability map; and calculating the object(s) for estimation based on the calculated approximation of the object suppressed image.

Abstract: A method of producing a denoised medical image at a specified resolution, comprising: a) denoising an original medical image acquired at a resolution higher than the specified resolution; and b) reducing the resolution of the image, after denoising, to the specified resolution, using a nonlinear resolution reduction procedure that preserves more fine detail in the image than a linear resolution reduction procedure would.

Abstract: A method of reducing noise in an image, comprising: a) for each pixel being examined in the image, selecting a set of search pixels; b) calculating a value of one or more features of a neighborhood of each search pixel, and a value of corresponding features of a neighborhood of the pixel being examined; and c) calculating a reduced noise grey value for each pixel being examined, based on raw or transformed grey values of its search pixels, with greater sensitivity to those with one or more feature values similar to those of the pixel being examined; wherein calculating the value of at least one feature comprises calculating a characteristic of a distribution of raw or transformed grey values of pixels in the neighborhood, other than a mean grey value of all pixels in the neighborhood.

Abstract: A method for generating a three-dimensional (3D) low-resolution image from a 3D high-resolution medical image. The 3D high-resolution medical image is a plurality of 2D images having an axial resolution in an axial direction in which the plurality of 2D images were acquired, the method including decomposing the plurality of 2D images generating a plurality of transformed data sets, wherein the transformed data sets corresponds to one of the plurality of 2D images; weighting each pixel in the transformed data sets lo generate a plurality of weighted transformed data sets; combining the plurality of weighted transformed data into a single new transformed data set; and generating a 3D low-resolution image, having a first resolution in the axial direction from each of the single new transformed data sets, wherein the first resolution in the axial direction of the 3D low-resolution image is lower than or equal to the axial resolution.

Abstract: A method of producing a denoised medical image at a specified resolution, comprising: a) denoising an original medical image acquired at a resolution higher than the specified resolution; and b) reducing the resolution of the image, after denoising, to the specified resolution, using a nonlinear resolution reduction procedure that preserves more fine detail in the image than a linear resolution reduction procedure would.