Abstract: Devices, systems, and methods for removing non-linearities in an inverse synthetic aperture radar (ISAR) image are provided. A method includes estimating pitch and roll about range and doppler axes of a time series of ISAR images including the ISAR image, interpolating ISAR image data based on the estimated pitch and roll resulting in interpolated ISAR image data, and resampling based on the interpolated ISAR image data and the time series of TSAR images resulting in an enhanced image.

Abstract: Discussed herein are devices, systems, and methods for organ mask generation. A device, system and method for organ mask generation including generating a synthetic centroid mask, identifying first and second intensity thresholds, in a first segmentation pass, setting (i) pixels of an image with intensities less than the first threshold to zero and (ii) pixels of the image corresponding to objects with centroids outside the synthetic centroid mask to zero, resulting an initial organ mask, in a second segmentation pass, setting pixels (i) with intensities less than the second threshold, the second threshold less than the first threshold to zero and (ii) setting pixels corresponding to objects with centroids outside the initial organ mask to zero, resulting in a second organ mask, and expanding and filling the second organ mask to generate an organ mask.

Abstract: A method for analyzing scan data. In some embodiments, the method includes forming, from a first scan data array, a first mask, each element of the first mask being one or zero according to whether the corresponding element of the first scan data array exceeds a first threshold; forming, from the first scan data array, a second mask, each element of the second mask having a value of one or zero according to whether the corresponding element of the first scan data array exceeds a second threshold, the second threshold being less than the first threshold; and forming a fourth mask, the fourth mask being the element-wise product of the second mask and a third mask, the third mask being based on the first mask.

Abstract: System and method for generating 3D color representation of 2D grayscale images include: receiving a plurality of 2D grayscale image slices generated by scanning an object; selecting a reference image slice from the plurality of 2D grayscale image slices; selecting a number of additional image slices on either or both sides of the selected reference image slice; generating a 3D representation of the selected reference image slice using the selected number of additional image slices; rendering a 3D representation of the selected reference image slice by spatially colorizing the selected reference image slice; and displaying the 3D representation of the selected reference image slice on a display device. The grayscale image slices may be generated by a scanner using a CT scan image or an MRI image.

Abstract: A method for analyzing scan data. In some embodiments, the method includes forming, from a first scan data array, a first mask, each element of the first mask being one or zero according to whether the corresponding element of the first scan data array exceeds a first threshold; forming, from the first scan data array, a second mask, each element of the second mask having a value of one or zero according to whether the corresponding element of the first scan data array exceeds a second threshold, the second threshold being less than the first threshold; and forming a fourth mask, the fourth mask being the element-wise product of the second mask and a third mask, the third mask being based on the first mask.

Abstract: System and method for generating 3D color representation of 2D grayscale images include: receiving a plurality of 2D grayscale image slices generated by scanning an object; selecting a reference image slice from the plurality of 2D grayscale image slices; selecting a number of additional image slices on either or both sides of the selected reference image slice; generating a 3D representation of the selected reference image slice using the selected number of additional image slices; rendering a 3D representation of the selected reference image slice by spatially colorizing the selected reference image slice; and displaying the 3D representation of the selected reference image slice on a display device. The grayscale image slices may be generated by a scanner using a CT scan image or an MRI image.

Abstract: A system and method for detecting tumors. Three-dimensional scans of a patient are performed with penetrating radiation, before and/or after the injection of a contrast agent. Raw density arrays are formed from the scans. The median density within an organ is calculated and subtracted from each of the raw density arrays, to form offset arrays. The offset arrays are subtracted pairwise and the differences are summed to form a discriminator array.

Abstract: A system and method for visualizing data obtained by performing a three-dimensional scan with penetrating radiation. Raw density arrays are formed from the scan, each raw density array being a three-dimensional array. A processed density array is formed by one or more operations, such as taking the difference between two raw density arrays, rotating the processed density array, multiplying the processed density array by a front-lighting array, and projecting the processed density array onto a plane to form an image, the projecting including calculating one or more of a plurality of statistics for each of a set of vectors each corresponding to a pixel of the image, the plurality of statistics including a vector mean, a vector maximum, and a vector standard deviation.

Abstract: A system and method for visualizing data obtained by performing a three-dimensional scan with penetrating radiation. Raw density arrays are formed from the scan, each raw density array being a three-dimensional array. A processed density array is formed by one or more operations, such as taking the difference between two raw density arrays, rotating the processed density array, multiplying the processed density array by a front-lighting array, and projecting the processed density array onto a plane to form an image, the projecting including calculating one or more of a plurality of statistics for each of a set of vectors each corresponding to a pixel of the image, the plurality of statistics including a vector mean, a vector maximum, and a vector standard deviation.

Abstract: A system and method for visualizing data obtained by performing a three-dimensional scan with penetrating radiation. Raw density arrays are formed from the scan, each raw density array being a three-dimensional array. A processed density array is formed by one or more operations, such as taking the difference between two raw density arrays, rotating the processed density array, multiplying the processed density array by a front-lighting array, and projecting the processed density array onto a plane to form an image, the projecting including calculating one or more of a plurality of statistics for each of a set of vectors each corresponding to a pixel of the image, the plurality of statistics including a vector mean, a vector maximum, and a vector standard deviation.

Abstract: Systems and methods that can be used in lightweight vehicles, such as lightweight small Armed Aerial Scout (AAS) vehicles, and can provide small, lightweight weapons capable of “Fire and Forget” type performance to defeat the next generation “Swarm Weapon Systems”, such as, groups of high speed attack boats armed with anti ship weapons, are disclosed.

Abstract: A system and method for detecting tumors. Three-dimensional scans of a patient are performed with penetrating radiation, before and/or after the injection of a contrast agent. Raw density arrays are formed from the scans. The median density within an organ is calculated and subtracted from each of the raw density arrays, to form offset arrays. The offset arrays are subtracted pairwise and the differences are summed to form a discriminator array.

Abstract: A system and method for visualizing data obtained by performing a three-dimensional scan with penetrating radiation. Raw density arrays are formed from the scan, each raw density array being a three-dimensional array. A processed density array is formed by one or more operations, such as taking the difference between two raw density arrays, rotating the processed density array, multiplying the processed density array by a front-lighting array, and projecting the processed density array onto a plane to form an image, the projecting including calculating one or more of a plurality of statistics for each of a set of vectors each corresponding to a pixel of the image, the plurality of statistics including a vector mean, a vector maximum, and a vector standard deviation.

Abstract: A system and method for visualizing data obtained by performing a three-dimensional scan with penetrating radiation. Raw density arrays are formed from the scan, each raw density array being a three-dimensional array. A processed density array is formed by one or more operations, such as taking the difference between two raw density arrays, rotating the processed density array, multiplying the processed density array by a front-lighting array, and projecting the processed density array onto a plane to form an image, the projecting including calculating one or more of a plurality of statistics for each of a set of vectors each corresponding to a pixel of the image, the plurality of statistics including a vector mean, a vector maximum, and a vector standard deviation.

Abstract: A system and method for visualizing data obtained by performing a three-dimensional scan with penetrating radiation. Raw density arrays are formed from the scan, each raw density array being a three-dimensional array. A processed density array is formed by one or more operations, such as taking the difference between two raw density arrays, rotating the processed density array, multiplying the processed density array by a front-lighting array, and projecting the processed density array onto a plane to form an image, the projecting including calculating one or more of a plurality of statistics for each of a set of vectors each corresponding to a pixel of the image, the plurality of statistics including a vector mean, a vector maximum, and a vector standard deviation.

Abstract: A system and method for processing radar returns to identify returns from man-made objects. In one embodiment, a plurality of radar returns is used to form a corresponding plurality of resonance maps, which are combined using an ordered statistic to form a processed resonance map. A discriminant is calculated as (a) the fourth power of the ratio of (i) the power in a first rectangle about each pixel to (ii) the power in a region outside the first rectangle and inside a second, larger rectangle, or (b) zero if the ratio is less than 1. Other processing operations including thresholding operations to suppress noise and clutter are used to improve the signal to noise ratio for detecting man-made objects.

Abstract: A method for detecting a concealed material in a target comprising a body and the concealed material, the method comprising: emitting radio frequency (RF) energy toward a direction of the target, capturing a signal corresponding to a scattered RF energy reflected from the target, measuring a first mean signal level in a first frequency band of the signal, measuring a second mean signal level in a second frequency band of the signal, and detecting the concealed material when the difference between the first mean signal level and the second mean signal level is above a threshold.

Abstract: A method for detecting a concealed object in a target. The target may include a body and the concealed object. The method may include emitting radio frequency (RF) energy toward a direction of the target, receiving a scattered RF energy reflected from the target, generating a signal corresponding to the received scattered RF energy, comparing the signal with a plurality of stored RF scattering signatures, and detecting the concealed object when the signal matches one of a plurality of RF scattering signatures. Each of the RF scattering signatures may be associated with an object of interest.

Abstract: Systems and methods that can be used in lightweight vehicles, such as lightweight small Armed Aerial Scout (AAS) vehicles, and can provide small, lightweight weapons capable of “Fire and Forget” type performance to defeat the next generation “Swarm Weapon Systems”, such as, groups of high speed attack boats armed with anti ship weapons, are disclosed.

Abstract: A system and method for high-availability inverse synthetic aperture radar (ISAR). In one embodiment a set of quadratic phase vectors, each corresponding to a different acceleration, is multiplied, one at a time, in a Hadamard product, with a 3-dimensional data cube, and a fast Fourier transform (FFT) is taken of the result, to form a 2-dimensional array. The two-dimensional array is made sparse by setting to zero elements that fall below a threshold based on a coherency metric, and the sparse arrays are stacked to form a sparse 3-dimensional image. Projections of the sparse 3-dimensional image are formed for presentation to an operator or an image exploitation system.