Abstract: An imaging device and a method using the imaging device for acquiring in vivo images of a region of a subject's body. The imaging device comprises at least two energy sources, and at least two energy detectors for detecting energy from the at least two energy sources passing through the region of the subject's body. The imaging device also comprises a motion assembly configured to achieve relative movement between a source-detector pair comprising at least one of the energy source and energy detectors, and the subject, and a controller for operating the energy sources and detectors while stationary, to acquire a time series of in vivo images of the region of the subject's body, and operating the motion assembly and the source-detector pair to achieve relative movement therebetween to obtain a second set of images at each of a plurality of image angles in a plane of the source-detector pair.

Abstract: The invention relates to a method of scanning for vascular ill health using a data set from an in vivo scan, the method including the steps of: (1) extracting blood vessel location data and blood vessel size data from the scan data set; (2) selecting a region in the extracted vessel location data; and (3) comparing the size data in the selected region to size data in a corresponding region of a normative data set to determine vascular health.

Abstract: The present invention relates to the field of medical imaging in the absence of contrast agents. In one form, the invention relates to the field of imaging vessels, particularly blood vessels such as the pulmonary vasculature and is suitable for use as a technique for detecting pulmonary embolism (PE), such as acute PE. Embodiments of the present invention provide improved image processing techniques having the capability to extract and use image data to overcome the need for contrast agents to distinguish between different types of tissue. Furthermore, it has also been realised that the image data accessed by the improved image processing can be used to identify irregularities in vessels.

Abstract: A method of imaging motion of an organ that changes volume in a patient including the steps of monitoring change in volume of the organ, and recording multiple in vivo images of the organ, wherein the change of organ volume between the images is constant or of some other predetermined value.

Abstract: An effect of a treatment on an organ, e.g., a lung, is assessed by acquiring a first measurement for each of a plurality of regions of the organ, and then acquiring a second measurement for each of the plurality of regions of the organ, after acquisition of the first measurements. A regional change measurement is obtained for each of the plurality of regions of the organ based on the first measurement and the second measurement of the region. A treatment effect is then determined based the plurality of regional change measurements and treatment information of the treatment delivered to the organ.

Abstract: The present invention relates to the field of medical imaging in the absence of contrast agents. In one form, the invention relates to the field of imaging vessels, particularly blood vessels such as the pulmonary vasculature and is suitable for use as a technique for detecting pulmonary embolism (PE), such as acute PE. Embodiments of the present invention provide improved image processing techniques having the capability to extract and use image data to overcome the need for contrast agents to distinguish between different types of tissue. Furthermore, it has also been realised that the image data accessed by the improved image processing can be used to identify irregularities in vessels.

Abstract: The present invention relates to the field of medical imaging in the absence of contrast agents. In one form, the invention relates to the field of imaging vessels, particularly blood vessels such as the pulmonary vasculature and is suitable for use as a technique for detecting pulmonary embolism (PE), such as acute PE. Embodiments of the present invention provide improved image processing techniques having the capability to extract and use image data to overcome the need for contrast agents to distinguish between different types of tissue. Furthermore, it has also been realised that the image data accessed by the improved image processing can be used to identify irregularities in vessels.

Abstract: A method of imaging motion of an organ that changes volume in a patient including the steps of monitoring change in volume of the organ, and recording multiple in vivo images of the organ, wherein the change of organ volume between the images is constant or of some other predetermined value.

Abstract: The present invention relates to imaging of a human or animal heart, particularly imaging of movement of the heart and can be used for imaging function and form in a wide range of research, medical, veterinary and industrial applications. In particular, the present invention provides a method and apparatus for imaging a subject heart, the method including the steps of (1) recording at least one in vivo image of a lung of the subject in one or more regions; (2) applying said at least one in vivo image to a 2D or 3D heart model; and (3) reconstructing a 2D or 3D image field of the subject heart.

Abstract: A 2D or 3D velocity field is reconstructed from cross-correlation analysis of image pairs of a sample, without first reconstructing images of the sample spatial structure. The method can be implemented via computer tomographic X-ray particle image velocimetry, using multiple projection angles, with phase contrast images forming dynamic speckle patterns. Estimated cross-correlations may be generated via convolution of a measured autocorrelation function with a velocity probability density function, and the velocity coefficients iteratively optimized to minimize the error between the estimated cross-correlations and the measured cross-correlations. The method may be applied to measure blood flow, and the motion of tissue and organs such as heart and lungs.

Abstract: A method for dynamic investigation of a subject lung, the method comprising the steps of: (i) imparting an oscillation to the lung at one or more forcing frequencies so as to elicit a lung response, (ii) sensing the response of the lung simultaneously with the imparting of the oscillation to elicit a lung response, (iii) choosing at least one parameter used in the sensing to define the lung motion associated with the lung response, (iv) comparing one of the chosen parameters at each forcing frequency with the response at the forcing frequency in at least one region of the lung, and (v) recording the comparison of step (iv).

Abstract: A 2D or 3D velocity field is reconstructed from a cross-correlation analysis of image pairs of a sample, without first reconstructing images of the sample spatial structure. The method can be implemented via computer tomographic X-ray particle image velocimetry, using multiple projection angles, with phase contrast images forming dynamic speckle patterns. Estimated cross-correlations may be generated via convolution of a measured autocorrelation function with a velocity probability density function, and the velocity coefficients iteratively optimized to minimize the error between the estimated cross-correlations and the measured cross-correlations. The method may be applied to measure blood flow, and the motion of tissue and organs such as heart and lungs.

Abstract: A 2D or 3D velocity field is reconstructed from a cross-correlation analysis of image pairs of a sample, without first reconstructing images of the sample spatial structure. The method can be implemented via computer tomographic x-ray particle image velocimetry, using multiple projection angles, with phase contrast images forming dynamic speckle patterns. Estimated cross-correlations may be generated via convolution of a measured autocorrelation function with a velocity probability density function, and the velocity coefficients iteratively optimized to minimize the error between the estimated cross-correlations and the measured cross-correlations. The method may be applied to measure blood flow, and the motion of tissue and organs such as heart and lungs.

Abstract: The present invention relates to imaging of a human or animal heart, particularly imaging of movement of the heart and can be used for imaging function and form in a wide range of research, medical, veterinary and industrial applications. In particular, the present invention provides a method and apparatus for imaging a subject heart, the method including the steps of (1) recording at least one in vivo image of a lung of the subject in one or more regions; (2) applying said at least one in vivo image to a 2D or 3D heart model; and (3) reconstructing a 2D or 3D image field of the subject heart.

Abstract: A system and method of determining biomechanical properties of a cell. A cell is introduced into a multiport flow device, the device being configured such that during fluid flow at least one stagnation zone arises in an expected location within the device. The cell is trapped in the stagnation zone of the device. A selected physical stimulus is applied to the cell, such as rotation, stretching or time-varying shear rate. The cell is observed while trapped to detect an absolute, differential and/or transient effect of the applied physical stimulus and to thereby determine biomechanical properties of the cell. Disease diagnosis may follow, by comparison to a normal control. Selectively directing the cell to a chosen outlet based on observed properties provides cell sorting, which may be implemented in parallel to increase throughput and/or in series to enlarge sorting criteria. Micro-particles may be investigated by use of appropriate particle model.

Abstract: A 2D or 3D velocity field is reconstructed from a cross-correlation analysis of image pairs of a sample, without first reconstructing images of the sample spatial structure. The method can be implemented via computer tomographic X-ray particle image velocimetry, using multiple projection angles, with phase contrast images forming dynamic speckle patterns. Estimated cross-correlations may be generated via convolution of a measured autocorrelation function with a velocity probability density function, and the velocity coefficients iteratively optimised to minimise the error between the estimated cross-correlations and the measured cross-correlations. The method may be applied to measure blood flow, and the motion of tissue and organs such as heart and lungs.