There are provided a vascular information acquisition device, an endoscope system, and a vascular information acquisition method that can accurately acquire vascular information on a blood vessel of a target layer that is an object to be measured of a subject. A first blood vessel extraction unit (82) analyzes the image of a target layer to be measured and extracts a blood vessel (first blood vessel) from the image of a target layer. A blood vessel specification unit (84) specifies a blood vessel (second blood vessel) extending to a non-target layer from the target layer. In a case in which the second blood vessel is specified, a second blood vessel extraction unit (83) analyzes the image of the non-target layer in which the second blood vessel is present and extracts the specified second blood vessel from the image of the non-target layer.

A system and method for performing speckle correlation flow cytometry (SCFC). By subtracting out the stationary background when shining light through a sample (e.g., a vessel within a biological tissue), light only scattered by the desired targets (e.g., cells) can be captured and different types of targets (e.g., cells) can be distinguished by the autocorrelation of the speckle pattern. In this way, the targets (e.g., cells) can be classified and counted based on the features of their speckle correlations. The technique can be applied not only for noninvasive, label-free, in vivo CTC counting but also for counting other types of blood cells such as white blood cells or red blood cells.

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.

Methods and systems for imaging tissue of a subject are disclosed, and involve illuminating the tissue with a coherent light having a coherent wavelength, acquiring image data of the tissue using a color image sensor, and processing the image data using laser speckle contrast analysis while correcting for differences in sensitivity of color pixels at the coherent wavelength to generate a perfusion image of the tissue. The perfusion image is then displayed to the user. Also disclosed are methods and systems for correcting for ambient light and for acquiring white light images along with laser speckle images.

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.

Systems and methods for analyzing perfusion-weighted medical imaging using deep neural networks are provided. In some aspects, a method includes receiving perfusion-weighted imaging data acquired from a subject using a magnetic resonance (MR) imaging system and modeling at least one voxel associated with the perfusion-weighted imaging data using a four-dimensional (4D) convolutional neural network. The method also includes extracting spatio-temporal features for each modeled voxel and estimating at least one perfusion parameter for each modeled voxel based on the extracted spatio-temporal features. The method further includes generating a report using the at least one perfusion parameter indicating perfusion in the subject.

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 medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires image data including image data of a blood vessel of a subject. The processing circuitry performs analysis related to the blood vessel by using the image data, and specifies a region of interest in the blood vessel based on a result of the analysis. The processing circuitry performs fluid analysis on a region other than the region of interest at a first accuracy, and performs fluid analysis on the region of interest at a second accuracy that is higher than the first accuracy.

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.

Embodiments can provide a computer-implemented method for simultaneous multi-slice pulse wave velocity measurement, the method comprising simultaneously acquiring a plurality of multiple parallel images slices from a medical imaging device; shifting the plurality of image slices through modulation of the line-by-line phase patterns for each slice in the plurality of slices; deriving a plurality of image waveforms from the plurality of slices; measuring a distance between a plurality of imaging planes corresponding to the plurality of image slices; determining, for each of the image waveforms, a time-to marker; determining the temporal shift by calculating the difference between the time-to markers; and computing the pulse wave velocity by dividing the distance between the plurality of imaging planes by the temporal shift.