Quantitative analysis of blood platelets or aggregates in 3D by Digital Holographic Microscopy. The present invention is related to a method for the quantitative analysis of blood platelets or blood platelet aggregates comprising the steps of: a) providing a sample comprising platelets aggregates; b) obtain a 3D representation of the platelets aggregates by the use of DHM or DDHM; c) extract quantitative information about the platelets aggregates from said 3D representation.

An ultrasound system and method that can include: a receive beamformer configured to receive signals from a transducer; a processor coupled to the receive beamformer, the processor configured to: analyze echo data reflected from a region of interest, the echo data elicited by a transmitted pulse sequence; using the echo data, determine a central tendency of a signal magnitude from regions of adherent microbubbles over time within the region of interest; determine a time series of the signal magnitude; using the time series, determine an initial signal magnitude parameter; obtain a saturated signal parameter and a residual signal parameter using the time series; and determine a relative indication of information indicative of the residual signal magnitude versus the saturated signal magnitude.

A method includes obtaining an electrical signal that includes a set of at least two sensed physiologic measurements of a patient, comparing the at least two physiologic measurements with a predetermined physiologic measurement range, identifying data required to determine a probability and a severity of a condition of interest of the patient, in response to determining the at least two physiologic measurements do not satisfy the physiologic measurement range, receiving the identified data in electronic format, determining a first probability and a first severity of the condition of interest based on the received identified data, determining a recommended course of action for the patient based on the first probability and the first severity, resources of a healthcare facility, and an event guideline; and causing a display to visually present the first probability and first severity and the recommended course of action.

A dynamic analysis apparatus may include a setting section which sets a target region in a lung region of a chest dynamic image; a conversion section which calculates a representative value of a pixel signal value in the target region, and converts the pixel signal value; an extraction section which extracts a pulmonary blood flow signal from the image; and a calculation section which calculates a change in the pulmonary blood flow signal, and calculates a feature amount regarding pulmonary blood flow. The setting section may determine a size of the target region based on a size of a body part other than a lung blood vessel, a movement amount of a body part other than the lung blood vessel or subject information of the chest dynamic image, the subject information regarding a subject of the radiation imaging, and the setting section may set the target region.

According to one embodiment, a medical image processing apparatus includes first specifier, second specifier, determiner and display controller. First specifier collates an ischemic region calculated from a blood vessel visualized into a three-dimensional image in a plurality of phases with a dominating region of the blood vessel, and specifies a culprit vessel in the ischemic region. Second specifier specifies a culprit stenosis in the culprit vessel based on a pressure index calculated from the blood vessel. Determiner determines a connection position to connect a bypass vessel that makes a detour around the culprit stenosis. Display controller displays the determined connection position on a display.

Vessel perfusion and myocardial blush are determined by analyzing fluorescence signals obtained in a static region-of-interest (ROI) in a collection of fluorescence images of myocardial tissue. The blush value is determined from the total intensity of the intensity values of image elements located within the smallest contiguous range of image intensity values containing a predefined fraction of a total measured image intensity of all image elements within the ROI. Vessel (arterial) peak intensity is determined from image elements located within the ROI that have the smallest contiguous range of highest measured image intensity values and contain a predefined fraction of a total measured image intensity of all image elements within the ROI. Cardiac function can be established by comparing the time differential between the time of peak intensity in a blood vessel and that in a region of neighboring myocardial tissue both pre and post procedure.

A biological information detection device includes first and second light sources, an image capturing system, and an arithmetic circuit. The first and second light sources project, onto a living body, at least one first dot formed by first light and at least one second dot formed by second light, respectively. The image capturing system includes first photodetector cells and second photodetector cells. The image capturing system generates and outputs a first image signal and a second image signal. The arithmetic circuit generates information concerning the living body, by using the first and second image signals. The first light includes fifth light. The second light includes sixth light. Each of the fifth light and the sixth light has a wavelength in a range from 650 nm to 950 nm. The wavelength of the sixth light is longer than that of the fifth light by 50 nm or more.

The present disclosure includes methods, apparatuses, and systems for three-dimensional phenotyping and physiologic characterization of brain lesions and tissue encompassing one or more enlarged boundaries surrounding the brain lesion to study the metabolic and physiologic profiles from tissue within and around lesions and their impacts on lesion shape and surface texture. The non-invasive biomarker blood-oxygen their impacts on lesion shape and surface texture. The non-invasive biomarker blood-oxygen-level-dependant (BOLD) slope was used to metabolically characterize lesions. Metabolically active lesions with more intact tissue and myelin architecture have more symmetrical shapes and more complex surface textures compared to metabolically inactive lesions with less intact tissue and myelin architecture. The association of lesions' shapes and surface features with their metabolic signatures aid in the translation of MRI data to clinical management by providing information related to metabolic activity, lesion age, and risk for disease reactivation and self-repair.

The present disclosure provides a method and an apparatus for optical coherence tomography angiography, and an electronic device and a storage medium. The method includes: acquiring time domain signals of a target area, the time domain signals being N interference spectrum signals obtained by repeating A-scans on the target area N times; performing scale transform on respective interference spectrum signals in the N interference spectrum signals based on k scales, to obtain Nk scale-transformed signals; performing Fourier transform on each of the scale-transformed signals and taking a logarithm, to obtain an axial frequency domain signal in a logarithmic space, and denoising the axial frequency domain signal; dividing, based on the k scales, Nk of the axial frequency domain signals denoised into k sets of single-scale signals, and performing decorrelation calculation on each set of the single-scale signals to obtain single-scale blood flow signals; obtaining a multi-scale blood flow signal based on k sets of the single-scale blood flow signals; and obtaining a blood flow image based on the multi-scale blood flow signal. The present disclosure can improve an accuracy of identifying a blood flow signal.

A system includes a processor circuit that receives first external imaging data of a first area of a heart of a patient associated with a first blood vessel with a blockage. The processor circuit determines a first measurement representative of the blood flow through the first area. The processor circuit receives second external imaging data of a second area of the heart associated with a second blood vessel of the heart lacking the blockage. The processor circuit determines a second measurement representative of the blood flow through the second area. The processor circuit determines a progression of a reperfusion therapy associated with the first area. The processor circuit outputs a visual representation of the progression to a display. To determine the progression, the processor circuit determines a parameter representative of a relative blood flow between the first and second areas based on the first measurement and the second measurement.