Abstract: The systems and methods can accurately and efficiently determine boundary conditions for an arterial segment and thereby efficiently determine hemodynamic information for that segment. The method may include receiving medical image data of a patient. The method may further include generating a geometrical representation of the one or more arterial segments from the medical image data. The method may further include determining boundaries and geometry data for each arterial segment. The method may further include determining boundary conditions for the inflow boundary and each outflow boundary. The boundary conditions for each outflow boundary may be determined using an outflow distribution parameter. The outflow distribution parameter may be determined using the geometry data for one or more of the one or more outflow boundaries, stored hemodynamic data, or a combination thereof. The method may further include determining flow field for each arterial segment and determining hemodynamic information.

Abstract: The systems and methods can accurately and efficiently determine boundary conditions for an arterial segment and thereby efficiently determine hemodynamic information for that segment. The method may include receiving medical image data of a patient. The method may further include generating a geometrical representation of the one or more arterial segments from the medical image data. The method may further include determining boundaries and geometry data for each arterial segment. The method may further include determining boundary conditions for the inflow boundary and each outflow boundary. The boundary conditions for each outflow boundary may be determined using an outflow distribution parameter. The outflow distribution parameter may be determined using the geometry data for one or more of the one or more outflow boundaries, stored hemodynamic data, or a combination thereof. The method may further include determining flow field for each arterial segment and determining hemodynamic information.

Abstract: The systems and methods can accurately and efficiently determine a myocardial risk from a lesion disposed along a coronary segment using hemodynamic characteristic(s) associated with one or more sections of the corresponding lesion site. The method may include segmenting one or more lesion sites disposed along at least one arterial segment of the one or more arterial segments of the coronary model into one or more sections. Each lesion site includes a lesion. The method may include determining one or more characteristics for at least one section using at least the one or more characteristics associated with the at least one arterial segment. The one or more characteristics for the at least one section including hemodynamic force characteristic(s) (e.g., wall shear stress (WSS)). The method may include determining one or more risk indices for each lesion site using at least the hemodynamic force characteristic(s) for the at least one section.

Abstract: The systems and methods can accurately and efficiently determine a myocardial risk from a lesion disposed along a coronary segment using hemodynamic characteristic(s) associated with one or more sections of the corresponding lesion site. The method may include segmenting one or more lesion sites disposed along at least one arterial segment of the one or more arterial segments of the coronary model into one or more sections. Each lesion site includes a lesion. The method may include determining one or more characteristics for at least one section using at least the one or more characteristics associated with the at least one arterial segment. The one or more characteristics for the at least one section including hemodynamic force characteristic(s) (e.g., wall shear stress (WSS)). The method may include determining one or more risk indices for each lesion site using at least the hemodynamic force characteristic(s) for the at least one section.

Abstract: The systems and methods can accurately and efficiently determine a myocardial risk from a lesion disposed along a coronary segment using hemodynamic characteristic(s) associated with one or more sections of the corresponding lesion site. The method may include segmenting one or more lesion sites disposed along at least one arterial segment of the one or more arterial segments of the coronary model into one or more sections. Each lesion site includes a lesion. The method may include determining one or more characteristics for at least one section using at least the one or more characteristics associated with the at least one arterial segment. The one or more characteristics for the at least one section including hemodynamic force characteristic(s) (e.g., wall shear stress (WSS)). The method may include determining one or more risk indices for each lesion site using at least the hemodynamic force characteristic(s) for the at least one section.

Abstract: A virtual stress test may be performed for a patient by creating an electronic model of a region of interest of the patient's anatomy, such as one or more coronary arteries, determining pressure drops through the region of interest, based on computational fluid dynamics, at two different activity levels of the patient, and determining a range of pressure drops for a range of activity levels based on flow rates associated with the two activity levels. Based on the range of pressure drops, it can be determined if the patient has a clinically-significant pressure drop, indicative of an obstructive stenosis, at an activity level relevant to the patient's metabolic requirements.

Abstract: A diastole-based hemodynamic index, such as instantaneous wave-free ratio (IWFR), may be calculated noninvasively for a patient by receiving image data respective of an anatomical region of the patient, creating an electronic model of the anatomical region, creating one or more boundary conditions model value sets representative of flow conditions during diastole, calculating one or more pressure drops at a location in the anatomical region, and determining, based on the calculated pressure drop(s) and based on a reference pressure, a hemodynamic index value, such as IWFR, for the location.

Abstract: The systems and methods can accurately and efficiently determine a myocardial risk from a lesion disposed along a coronary segment using hemodynamic characteristic(s) associated with one or more sections of the corresponding lesion site. The method may include segmenting one or more lesion sites disposed along at least one arterial segment of the one or more arterial segments of the coronary model into one or more sections. Each lesion site includes a lesion. The method may include determining one or more characteristics for at least one section using at least the one or more characteristics associated with the at least one arterial segment. The one or more characteristics for the at least one section including hemodynamic force characteristic(s) (e.g., wall shear stress (WSS)). The method may include determining one or more risk indices for each lesion site using at least the hemodynamic force characteristic(s) for the at least one section.

Abstract: The systems and methods can accurately and efficiently determine boundary conditions for an arterial segment and thereby efficiently determine hemodynamic information for that segment. The method may include receiving medical image data of a patient. The method may further include generating a geometrical representation of the one or more arterial segments from the medical image data. The method may further include determining boundaries and geometry data for each arterial segment. The method may further include determining boundary conditions for the inflow boundary and each outflow boundary. The boundary conditions for each outflow boundary may be determined using an outflow distribution parameter. The outflow distribution parameter may be determined using the geometry data for one or more of the one or more outflow boundaries, stored hemodynamic data, or a combination thereof. The method may further include determining flow field for each arterial segment and determining hemodynamic information.