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.

The invention is directed to methods for diagnosing reperfusion/non-reperfusion hemorrhage and predicting cardiac arrhythmias and sudden cardiac death in subjects comprising using imaging techniques to detect regional iron oxide deposition. The invention also provides treatment methods for subject at increased risk of sudden cardiac death.

The invention provides various methods of identifying myocardial infarction (MI) patients who have microvascular obstruction (MO), persistent microvascular obstruction (PMO), reperfusion hemorrhage, iron deposition, chronic iron deposition, and/or fat infiltration/accumulation. The invention provides various methods of identifying myocardial infarction (MI) patients who are at risk of prolonged inflammation burden in heart, adverse cardiac remodeling, electrical abnormality, mechanical abnormality, malignant cardiac arrhythmia, ischemic heart failure, and/or sudden cardiac death. The invention also provides various methods of treating these MI patients with chelation drugs, anti-inflammatory drugs, fat-lowering drugs, cooling therapies, or device therapies, or their combinations.

A method for determining hemodynamic parameters may be provided. The method may include obtaining image data of a subject. The method may include generating a first vascular model and a second vascular model based on the image data and coupling the first vascular model with the second vascular model using an intermediate model to form a coupled vascular model. The method may also include setting at least one of a first boundary condition of the first vascular model or a second boundary condition of the second vascular model and determining a flow field distribution of the coupled vascular model based on the at least one of the first boundary condition or the second boundary condition. The method may further include determining hemodynamic parameters based on the flow field distribution.

The present disclosure is directed to systems and methods of multiphase pseudo-continuous arterial spin labeling.

The present disclosure provides an operating method of a brain imaging neurological abnormality prediction system, which includes steps as follows. The T1-weighted image and the diffusion-weighted image of the patient are acquired; the image process is performed on the T1-weighted image and the diffusion-weighted image to obtain a smoothed brain standard space infarction image; the smoothed brain standard space infarction image is multiplied by and a weighted image for a post-processing to obtain a post-weight image; the post-weight image is inputted to the deep learning cross validation classification model of transfer learning to predict whether the neurological abnormality occurs within a predetermined period after the patient's brain disease.

The present techniques relate to a techniques for performing cardiac perfusion imaging in order to detect perfusion defects in the myocardium. The present techniques relate to methods for performing cardiac perfusion imaging by performing at least two image acquisitions using different, customizable saturation delay times, which improves the ability to detect defects.

Systems and methods for aiding users in viewing, assessing and analyzing images, especially images of lumens and medical devices contained within the lumens. Systems and methods for interacting with images of lumens and medical devices, for example through a graphical user interface.

Deoxyhemoglobin in a subject may be modulated to act as a contrast agent for use in magnetic resonance imaging. Sequential gas delivery may be applied to adjust the level of deoxyhemoglobin in the subject. A suitable magnetic resonance imaging (MRI) pulse sequence that is sensitive to magnetic field inhomogeneities, such as a blood-oxygen-level dependent (BOLD) sequence, may be used to detect deoxyhemoglobin as a contrast agent.

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.