Disclosed herein are methods and apparatus for making a determination about a cataract in an eye in ambient lighting conditions.

A system and method for non-invasive medical imaging based measurement and calculation of the cardiovascular pressure is presented, wherein the pressure measurements are performed by means of the image stream processing estimating the volumes of the oscillating traceable regions within the body. The invention is applicable to any part of the body transparent for imaging device capable to produce real-time image series. The image series is then processed to obtain the pressure values within the cardiovascular system. The invention permits to assess non-invasively and in real time the pressure in any part of the heart and large blood vessels, and calculate the major markers of heart failure, cardiomyopathy, ventricular ischemia, infarction and other heart related diseases.

According to a first aspect, the present disclosure relates to a digital holography device (100) for full-field blood flow imaging of ocular vessels of a field of view of a layer (11) of the eye (10). The device comprises an optical source (101) configured for the generation of an illuminating beam (Eobj) and a reference beam (E.sub.LO), and a detector (135) configured to acquire a plurality of interferograms (I(x,y,t)) wherein an interferogram is defined as the signal resulting from the interference between the said reference beam (E.sub.LO) and a part of said illuminating beam (Eobj) that is backscattered from said layer (11). The device further comprises a processing unit (150) configured for processing said plurality of interferograms, (I(x,y,t)), wherein said processing comprises: the calculation (202), for each interferogram, of a hologram (H(x,y,t)), resulting in a first plurality of holograms; the selection (203), in sequential time windows, (tw), of second pluralities of holograms; the calculation (204), for each said second plurality of holograms, of a Doppler power spectrum (S(x,y,f)); the calculation (205), based on said Doppler power spectrum, of at least a first Doppler image thus generating at least a first plurality of Doppler images; the processing of each first Doppler image, wherein said processing comprises the devignetting (206) of said first Doppler image, resulting in a devignetted first Doppler image; the normalization (207) of said devignetted first Doppler image based on a spatial average of an intensity of said first Doppler image, resulting in a normalized first Doppler image; and the subtraction (208), from said normalized first Doppler image, of said spatial average of said intensity of said first Doppler image, resulting in a corrected first Doppler image.

Methods, non-transitory computer readable media, and surgical video analysis devices are disclosed that provide an improved, automated surgical report generation. With this technology, a video associated with a surgical procedure comprising a plurality of frames is obtained. The plurality of frames of the obtained video are compared to a historical set of surgical procedure images, wherein the historical set of surgical procedure images are associated with contextual information. One or more objects of interest are identified in at least a subset of the plurality of frames based on the comparison and the associated contextual information. The identified one or more objects of interest are tracked across the at least the subset of the plurality of frames. A surgical report based on tracked one or more objects.

There are provided a medical image processing device, and endoscope system, a diagnosis support method, and a program which can support diagnosis by avoiding an inappropriate report in a case where any of site information of an observation target and lesion type information detected from a medical image is incorrect.

The medical image processing device includes at least one processor. The at least one processor acquires the medical image, acquires the site information indicating a site of an observation target included in the medical image, in a human body, detects a lesion from the medical image to acquire the lesion type information indicating a lesion type, determines presence or absence of a contradiction between the site information and the lesion type information, and decides a report mode of the site information and the lesion type information on the basis of a determination result.

A method for calculating an index of microcirculatory resistance includes determining myocardial volume by extracting myocardial images; locating a coronary artery inlet and accurately segmenting coronary arteries; generating a grid model required for calculation; determining myocardial blood flow in a rest state and CFR; calculating total flow at the coronary artery inlet in a maximum hyperemia state; determining flow in different blood vessels in a coronary artery tree in the maximum hyperemia state and then determining a flow velocity V.sub.1 in the maximum hyperemia state; obtaining the average conduction time in the maximum hyperemia state Tmn, and calculating a pressure drop ΔP from the coronary artery inlet to a distal end of a coronary artery stenosis, and a mean intracoronary pressure P.sub.d at the distal end of the stenosis P.sub.d=P.sub.a−ΔP, and calculating the index of microcirculatory resistance.

A displacement measurement apparatus includes an ultrasound sensor transmitting ultrasounds to an object in accordance with a drive signal, and detecting ultrasound echo signals generated in the object to output echo signals; a driving and processing unit supplying the drive signal to the sensor, and processing the echo signals from the sensor to obtain ultrasound echo data; and a controller controlling the driving and processing unit to yield an ultrasound echo data frame at each of plural different temporal phases based on the ultrasound echo data obtained by scanning the object. The ultrasound echo data has one of local single octant spectra, local single quadrant spectra, and local single half-band-sided spectra in a frequency domain. The ultrasound echo data is obtained from plural same bandwidth spectra. A data processing unit calculates a displacement at each local position or distribution thereof in at least one of axial, lateral, and elevational directions by solving simultaneous equations derived at each local position via implementing a predetermined displacement measurement method on the ultrasound echo data yielded at the plural different temporal phases with respect to at least one of the axial, lateral, and elevational carrier frequencies and the phase, or the one of the local single octant spectra, the local single quadrant spectra, and the local single half-band-sided spectra.

The invention relates to an ultrasound data visualization apparatus for visualizing ultrasound data showing an object during an interventional procedure. A reference image (65) and a current image (68) of the object are simultaneously displayed, wherein the current image corresponds to a current time interval and the reference image corresponds to a reference time interval and wherein the current time interval and the reference time interval correspond to different phases of the interventional procedure. The current image can be shown therefore with, for instance, a relatively high temporal resolution for allowing a user to observe detailed object changes, which may be caused by the interventional procedure, while an overview over different phases of the interventional procedure can still be provided, because also the reference image is displayed and can be used by a user for comparing the current image with the reference image.

Methods for the prevention and treatment of ocular disorders, in particular glaucoma, through blocking the toxic effects of β-amyloid (Aβ) derivatives, and pharmaceutical compositions for effecting such prevention and treatment thereof.

Apparatus and methods are described for use with an imaging device (12) configured to acquire a set of angiographic images of a lumen. At least one processor (10) determines blood velocity within the lumen, via image processing. The processor determines a value of a flow-related parameter at the location based upon the determined blood velocity. The processor additionally receives an indication of a value of a second flow-related parameter of the subject, and determines a value of a luminal-flow-related index of the subject at the location, by determining a relationship between the value of the current flow-related parameter and the value of the second flow-related parameter. Other applications are also described.