A method for video evaluation of the heart rate and/or respiratory rate of a baby, in particular under dim or nocturnal conditions, in a device comprising a video camera and a source of infrared light, the method comprising the steps of: A1illuminating the baby with the infrared source, A2capturing video images of the baby, B1determining the position of the baby's head by finding an ellipse forming an outline of the head, B2identifying an area of interest centered on a selected ellipse, Cevaluating, by plethysmographic analysis of the area of interest, the heart rate and/or respiratory rate of the baby, and associated system.

An imaging system and method for microbial growth detection, counting or identification. One colony may be contrasted in an image that is not optimal for another type of colony. The system and method provides contrast from all available material through space (spatial differences), time (differences appearing over time for a given capture condition) and color space transformation using image input information over time to assess whether microbial growth has occurred for a given sample.

The present invention relates to a medical imaging system (10) for planning an implantation of a cardiac implant (42), comprising: a receiving unit (12) for receiving a plurality of three-dimensional (3D) cardiac images (14, 14) showing different conditions of a heart (32) during a cardiac cycle; a segmentation unit (22) for segmenting within the plurality of 3D cardiac images (14, 14) a target implant region (38) and a locally adjacent region (40) that could interfere with the cardiac implant (42); a simulation unit (24) for simulating the implantation of the cardiac implant (42) within the target implant region (40) in at least two of the plurality of 3D cardiac images (14, 14); a collision evaluation unit (26) for evaluating an overlap (46) of the simulated cardiac implant (42) with the segmented locally adjacent region (40) in at least two of the plurality of 3D cardiac images (14, 14); and a feedback unit (28) for providing feedback information to a user concerning the evaluated overlap (46).

An exemplary system, method and computer-accessible medium for removing noise and Gibbs ringing from a magnetic resonance (MR) image(s), can be provided, which can include, for example, receiving information related to the MR image(s), receiving information related to the MR image(s), and removing the Gibbs ringing from the information by extrapolating data in a k-space from the MR image(s) beyond an edge(s) of a measured portion of the k-space. The data can be extrapolated by formatting the data as a regularized minimization problem(s). A first weighted term of the regularized minimization problem(s) can preserve a fidelity of the extrapolated data, and a second weighted term of the regularized minimization problem(s) can be a penalty term that can be based a norm(s) of the MR image(s), which can be presumed to be sparse.

Similarity acquisition means calculates a similarity in each combination of an examination cross-sectional image and a reference cross-sectional image between examination volume data and reference volume data. Adjustment value acquisition means acquires an adjustment value of the similarity based on a relationship between the cross-sectional positions of examination cross-sectional images in two combinations and a relationship between the cross-sectional positions of reference cross-sectional images in the two combinations. Association means associates the examination cross-sectional image and the reference cross-sectional image with each other based on a sum of all the similarities and all the adjustment values.

Systems and methods are provided for identifying pathological changes in follow up medical images. Reference image data is acquired. Follow up image data is acquired. A deformation field is generated for the reference image data and the follow up data using a machine-learned network trained to generate deformation fields describing healthy, anatomical deformation between input reference image data and input follow up image data. The reference image data and the follow up image data are aligned using the deformation field. The co-aligned reference image data and follow up image data are analyzed for changes due to pathological phenomena.

A method and system for registration of a multi-dimensional image include defining an input image and a reference image in the same fixed Cartesian grid, then mapping locations within the reference image and the input image to phase space using a Hamiltonian function to define a symplectomorphic map, where the map is embedded in an energy shell. The mapping step is iterated until a sequence of energy shells is created. The energy shells are used generate curvilinear mapping grid which is then applied to the first image to generate a registered output image data. The data may be preconditioned to account for nearest neighbor coupling and/or to equalize the dimensionality of the images.

An apparatus and a method for contrast-enhanced ultrasound (CEUS) including use of a fluid dynamics model for the analysis of dynamic contrast-enhanced ultrasound (DCEUS).

An observation device according to an embodiment of the present technology includes a first polarization section, a second polarization section, a rotation control section, and a calculation section. The first polarization section irradiates a biological tissue with polarization light of a first polarization direction. The second polarization section extracts a polarization component of a second polarization direction that intersects with the first polarization direction, from beams of reflection light that are the polarization light reflected by the biological tissue. The rotation control section rotates each of the first polarization direction and the second polarization direction such that an intersection angle between the first polarization direction and the second polarization direction is maintained. The calculation section calculates biological tissue information related to the biological tissue on the basis of a change in intensity of the polarization component of the second polarization direction according to rotation operation performed by the rotation control section.

The medical information display apparatus includes an image acquisition unit that acquires a first brain image which is a brain image of a subject captured at a first time point and a second brain image captured at a second time point later in time than the first time point, a registration unit that performs registration between the first and the second brain image, an image analysis unit that extracts a first cavity region and a second cavity region from the first brain image and the second brain image, respectively, a display unit, and a display controller displays, a cavity expansion part included in a first non-cavity region, which is a region other than the first cavity region, and included in the second cavity region in a distinguishable manner from a region other than the cavity expansion part from a result of the registration between the first and second brain image.