Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

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.

Anatomical and functional assessment of coronary artery disease (CAD) using machine learning and computational modeling techniques deploying methodologies for non-invasive Fractional Flow Reserve (FFR) quantification based on angiographically derived anatomy and hemodynamics data, relying on machine learning algorithms for image segmentation and flow assessment, and relying on accurate physics-based computational fluid dynamics (CFD) simulation for computation of the FFR.

Sonography systems and methods for performing sonography are provided in which the gender of a fetus is obfuscated. Gender is obfuscated by blurring or otherwise obfuscating the genitalia of the fetus in a sonogram, optionally also by subtly modifying features like dimensions of bones from which gender could otherwise by deduced, and by modifying sonography data so that if copied and removed from the sonography system the gender of the fetus is obfuscated in the copy. Trained neural networks are employed to locate genitalia and to correctly identify gender from features other than the genitalia so that the genitalia can be obfuscated and other features subtly modified to evade gender detection.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for classifying a patient. In one aspect, a method comprises: receiving multi-modal data characterizing a patient, wherein the multi-modal data comprises a respective feature representation for each of a plurality of modalities; processing the multi-modal data characterizing the patient using an encoder neural network to generate an embedding of the multi-modal data characterizing the patient; determining a respective classification score for each patient category in a set of patient categories based on the embedding of the multi-modal data characterizing the patient; and classifying the patient as being included in a corresponding patient category from the set of patient categories based on the classification scores.

The invention relates to systems and methods to assist physicians in decision making for stroke patients. In particular the systems and methods can be used to assist physicians to decide on whether a patient with an acute ischemic stroke has a large vessel occlusion (LVO) and should be transferred from a community hospital to a larger hospital to undergo an endovascular thrombectomy procedure.

Provided is a device that transmits and receives an ultrasonic wave to and from an entire periphery of a specimen while preventing a movement of the specimen. An ultrasonic wave transmission and reception device includes: an oscillator array that is arrayed with an oscillator, the oscillator transmitting and receiving an ultrasonic wave; a fixing tool that is disposed between the oscillator array and the specimen and retains the specimen; and a drive mechanism that presses at least a part of the fixing tool against the specimen as to retain the specimen. An ultrasonic wave transmitted by the oscillator array passes through the fixing tool and irradiates on the specimen, and as for the oscillator array, the oscillator array and the fixing tool are disposed in a positional relationship such that the ultrasonic wave reflected by and/or passing through by the specimen and passing through the fixing tool is received.

Systems and methods are disclosed for assessing the quality of medical images of at least a portion of a patient's anatomy, using a computer system. One method includes receiving one or more images of at least a portion of the patient's anatomy; determining, using a processor of the computer system, one or more image properties of the received images; performing, using a processor of the computer system, anatomic localization or modeling of at least a portion of the patient's anatomy based on the received images; obtaining an identification of one or more image characteristics associated with an anatomic feature of the patient's anatomy based on the anatomic localization or modeling; and calculating, using a processor of the computer system, an image quality score based on the one or more image properties and the one or more image characteristics.

According to embodiment, an image processing apparatus comprising a specifying unit and a display controller. The specifying unit that specifies an acquisition position of an indicator relating to blood flow on a blood vessel-containing image collected by a medical image diagnostic apparatus. The display controller that displays the acquisition position on the blood vessel-containing image and displays the indicator on a display unit in association with the acquisition position.

The present method is a method for executing a computational fluid analysis on a blood flow in a computation object region, and displaying the analysis results, comprising the steps of: obtaining, by a computer, blood vessel shape data extracted from medical images; causing, by the computer, a user to specify a computation object region from the blood vessel shape data; retrieving, by the computer, a template according to the specified computation object region, wherein the template stores computation conditions validated for a blood flow analysis of the specified computation object region; and executing, by the computer, the computational fluid analysis of the blood flow in the computation object region by applying the computation conditions to the blood vessel shape data, and outputting the analysis results.