Abstract: A system and method for determining a magnetic field map when using a magnetic resonance imaging (MRI) system to acquire images from a region of interest (ROI) of a subject. The method includes selecting a pulse sequence to elicit a plurality of echoes from the subject as medical imaging data from the subject. The method also includes optimizing an echo time for a dynamic range of interest during the pulse sequence (SBmax), a minimum signal-to-noise ratio (SNR0) in the medical imaging data, and minimum T2* value in the ROI. The method further includes generating a magnetic field map estimation using the optimized echo times.

Abstract: A system and method for determining a magnetic field map when using a magnetic resonance imaging (MRI) system to acquire images from a region of interest (ROI) of a subject. The method includes selecting a pulse sequence to elicit a plurality of echoes from the subject as medical imaging data from the subject. The method also includes optimizing an echo time for a dynamic range of interest during the pulse sequence (SBmax), a minimum signal-to-noise ratio (SNR0) in the medical imaging data, and minimum T2* value in the ROI. The method further includes generating a magnetic field map estimation using the optimized echo times.

Abstract: Systems and methods for image data fusion include providing first and second sets of image data corresponding to an imaged first and second scene respectively. The scenes at least partially overlap in an overlap region, defining a first collection of overlap image data as part of the first set of image data, and a second collection of overlap image data as part of the second set of image data. The second collection of overlap image data is represented as a plurality of image data subsets such that each of the subsets is based on at least one characteristic of the second collection, and each subset spans the overlap region. A fused set of image data is produced by an image processor, by modifying the first collection of overlap image data based on at least a selected one of, but less than all of, the image data subsets.

Abstract: A method of pre-processing a defocused image of an object includes applying an object-based sharpening filter on the defocused image to produce a sharper image; and quantizing the sharper image using block-wise quantization. A system for generating decoded text data from alphanumeric information printed upon an object includes a camera that obtains image data of the alphanumeric information. The system also includes a pre-processor that (a) performs block-wise quantization of the image data to form conditioned image data, and (b) performs optical character recognition on the conditioned image data to generate the decoded text data.

Abstract: A method of pre-processing a defocused image of an object includes applying an object-based sharpening filter on the defocused image to produce a sharper image; and quantizing the sharper image using block-wise quantization. A system for generating decoded text data from alphanumeric information printed upon an object includes a camera that obtains image data of the alphanumeric information. The system also includes a pre-processor that (a) performs block-wise quantization of the image data to form conditioned image data, and (b) performs optical character recognition on the conditioned image data to generate the decoded text data.

Abstract: Systems and methods for image data fusion include providing first and second sets of image data corresponding to an imaged first and second scene respectively. The scenes at least partially overlap in an overlap region, defining a first collection of overlap image data as part of the first set of image data, and a second collection of overlap image data as part of the second set of image data. The second collection of overlap image data is represented as a plurality of image data subsets such that each of the subsets is based on at least one characteristic of the second collection, and each subset spans the overlap region. A fused set of image data is produced by an image processor, by modifying the first collection of overlap image data based on at least a selected one of, but less than all of, the image data subsets.

Abstract: A deployable image sensor includes a detector operable to generate electronic data in accordance with electromagnetic energy incident thereon, optics operable to direct the electromagnetic energy toward the detector, and electronics in electrical communication with the detector, the electronics operable to transmit the electronic data. A structure supports the detector, the optics, and the electronics. A shell surrounds at least a part of the structure, the shell and the structure defining a space therebetween such that the structure is reorientable within the shell. The deployable image sensor may include a battery array that may be charged using a charging station. A base station may be used with the deployable image sensor.