A biological information detection apparatus for measuring a SpO.sub.2 without contact from a distant position includes a camera that acquires an image with visible and infrared light, a first wavelength fluctuation detection section detects a temporal variation of a wavelength of an image with the visible light to generate a first wavelength difference data signal, a first amplitude detection section detects an amplitude of the first wavelength difference data signal, a second wavelength fluctuation detection section detects a temporal variation of a wavelength of an image with the infrared light to generate a second wavelength difference data signal, a second amplitude detection section detects an amplitude of the second wavelength difference data signal, a ratio calculation section calculates a ratio between the amplitudes of the first and second wavelength difference data signals, and an oxygen saturation concentration calculation section calculates an oxygen saturation concentration based on the calculated amplitude ratio.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

An ultrasound system and method are described for acquiring a sequence of ultrasound images of the carotid artery during the delivery of a contrast agent. Plaque in the images is identified and a time-intensity curve is calculated for pixels in the images. The intensity values before and after the arrival of contrast are compared to identify pixels or groups of pixels having perfusion. An anatomical image may be formed showing areas in an image of the plaque of the intensity and presence of perfusion, or the perfusion may be quantified by determining the percentage of pixels in the plaque image which exhibit perfusion. The extent and degree of perfusion is an indicator of the risk of plaque particulates in the blood stream which may lead to stroke-related symptoms.

A method for computing patient-specific hemodynamics. The method includes receiving three dimensional imaging data of a patent, extracting anatomical data from the three dimensional imaging data, calculating velocity and pressure fields corresponding to the extracted anatomical data, and calculating displacement and velocity of extracted solid particles corresponding to the anatomical data. The anatomical data comprises an anatomical boundary.

A system and method for automated contrast arrival detection in temporally phased images or datasets of tissues effectively determines contrast arrival in regions that are substantially free of arteries. A plurality of tissue voxels in a plurality of temporally phased images are identified as a function of voxel enhancement characteristics associated with discrete tissue voxels. A processor/process computes average enhancement characteristics from the plurality of identified tissue voxels. The average enhancement characteristics are compared with predetermined average enhancement characteristics associated with contrast media arrival phases. Contrast media arrival phases in the temporally phased images are provided based on the comparison.

Computer aided visualization and diagnosis by volume analysis of optical coherence tomography (OCT) angiographic data. In one embodiment, such analysis comprises acquiring an OCT dataset using a processor in conjunction with an imaging system; evaluating the dataset, with the processor, for flow information using amplitude or phase information; generating a matrix of voxel values, with the processor, representing flow occurring in vessels in the volume of tissue; performing volume rendering of these values, the volume rendering comprising deriving three dimensional position and vector information of the vessels with the processor; displaying the volume rendering information on a computer monitor; and assessing the vascularity, vascular density, and vascular flow parameters as derived from the volume rendered images.

A system and method include reception of 3D imaging data showing blood flow over time in a patient volume including vessels, reception of a user input of a projection angle, generation of a plurality of 3D images based on the 3D imaging data, generation of a 2D digitally reconstructed radiograph (DRR) at the projection angle input by the user for one of the plurality of 3D X-ray images, and display of the 2D DRR image. Numerous other aspects are provided.

A method for vascular modeling is disclosed. The method, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to automatically detect 2-D features, for example, paths along vascular extents, which are projected into 3-D to determine homologous features among blood vessels. In some embodiments, projection and/or image registration is iteratively altered to improve feature position matching. Based on 3-D vascular extents and their registration to 2-D images, additional features such as vascular width are optionally determined and added to the model.

An imaging system includes an imaging unit, a display unit, and at least one processor. The at least one processor is configured to acquire a first type of diagnostic imaging information of the patient; reconstruct a first image using the first type of diagnostic imaging information; if a first stop criterion for terminating imaging is not satisfied, acquire a second type of diagnostic imaging information having an increased level of acquisitional burden; reconstruct a second image; if a second stop criterion for terminating imaging is not satisfied, acquire a third type of diagnostic imaging information having an increased level of acquisitional burden, wherein the patient is maintained on a table of the imaging unit during the acquisition of the second type of diagnostic imaging information, reconstruction of the second image, and acquisition of the third type of diagnostic imaging information; reconstruct a third image; and display the third image.

Embodiments of the invention provide a method, system and computer program product for artificially intelligent ejection fraction determination. In a method for artificially intelligent ejection fraction determination, a neural network is loaded into memory of a computer, that has been trained with different sets of cardiac imaging data acquired during imaging of a ventricle for different hearts and a known ejection fraction for each of the sets. Then, a contemporaneous set of imaging data is acquired of a ventricle of a heart and the contemporaneous set of imaging data is provided to the neural network. Finally, an ejection fraction determination output by the neural network is displayed in a display of the computer without tracing a ventricle boundary of the heart.