Abstract: A portable biomedical device for detecting ischemic stroke in the brain is provided. The device provides portability and compactness and can accommodate software for resolving blood flow velocity measurements. The device can provide both a diagnostic and a predictive tool for determining the occurrence of an ischemic attack, one such example being transient ischemic attack (TIA) not only at hospital bedside but also in a home environment.

Abstract: A portable neuro attack monitoring device is described. The neuro attack monitoring device combined with Coherent Hemodynamic Spectroscopy CHS algorithm offers a unique opportunity to directly resolve blood flow velocity measurements and for the first time apply NIRS+CHS technique for the detection of ischemic strokes and TIA. The device comprises a central hub configured for placement on a central part of a patient's head and a plurality of spokes connected to the central hub and configured for placement on the patient's head over a specific portion of the patient's brain. Each spoke can comprise one or more pairs of light emitting sources and at least one light detector, and the light emitting sources can be configured to inject light into the patient's head, at two or more different wavelengths, over a predetermined period of time.

Abstract: A portable biomedical device for detecting ischemic stroke in the brain. Its unique capability of enabling portability and compactness and being able to accommodate software that can resolve blood flow velocity measurements enable us to leverage multi-modality system benefits while using simple single modality instrumentation. This unique device provides an ideal diagnostic and predictive tool for ischemic attack such as TIA; not only at hospital bedside but also in a home environment.

Abstract: According to one embodiment, a method for processing one or more X-ray images includes: receiving at least one image of the one or more X-ray images, the one or more X-ray images being of an assembly extending along a plane; based on the at least one image, autonomously determining a respective displacement value for each of portions of the assembly with respect to one or more directions of the plane, each of the displacement values being determined relative to a respective actual value; storing the displacement values; and applying a rule to the stored displacement values, the rule being for determining a defect status of the assembly.

Abstract: According to one embodiment, a calibration system for calibrating image data produced by an imaging system is provided. The calibration system includes a processor configured for: receiving the image data from the imaging system; receiving a plurality of reference values from the imaging system; and calibrating the image data using the reference values. The reference values correspond to air image data produced by the imaging system.

Abstract: According to one embodiment, a system for linearizing image data corresponding to one or more objects and output by an imaging device is provided. The system includes a processor configured for: receiving the image data from the imaging device; and producing a generally linear relationship between the image data and a thickness of the one or more objects. The generally linear relationship is produced according to the equation I = I o ? ? u l ? l . I is an intensity of the image data, I0 is an intensity of energy produced by the imaging device for outputting the image data, ? is an attenuation coefficient of the one or more objects, and l is the thickness of the one or more objects.

Abstract: According to one embodiment, a calibration system for calibrating image data produced by an imaging system is provided. The calibration system includes a processor configured for: receiving the image data from the imaging system; receiving a plurality of reference values from the imaging system; and calibrating the image data using the reference values. The reference values correspond to air image data produced by the imaging system.

Abstract: According to one embodiment, a system for linearizing image data corresponding to one or more objects and output by an imaging device is provided. The system includes a processor configured for: receiving the image data from the imaging device; and producing a generally linear relationship between the image data and a thickness of the one or more objects. The generally linear relationship is produced according to the equation I = I o ? ? - ? l ? l . I is an intensity of the image data, I0 is an intensity of energy produced by the imaging device for outputting the image data, ? is an attenuation coefficient of the one or more objects, and l is the thickness of the one or more objects.

Abstract: According to one embodiment, a method for processing one or more X-ray images includes: receiving at least one image of the one or more X-ray images, the one or more X-ray images being of an assembly extending along a plane; based on the at least one image, autonomously determining a respective displacement value for each of portions of the assembly with respect to one or more directions of the plane, each of the displacement values being determined relative to a respective actual value; storing the displacement values; and applying a rule to the stored displacement values, the rule being for determining a defect status of the assembly.

Abstract: A method of and a system for extracting 3D bag images from continuously reconstructed 2D image slices are provided. The method detects the boundaries of baggage in the reconstructed images, and provides better flexibilities for threat detection and displaying. The method comprises detecting starting and ending slices using multiple slices, counting bag slices, splitting 3D bag images when maximum number of slices of a 3D bag image is reached, and creating overlapping slices for the split 3D bag images.