A magnetic resonance imaging apparatus according to one embodiment includes sequence control circuitry and processing circuitry. The sequence control circuitry performs a first data acquisition for chemical shift measurement and a second data acquisition for either chemical shift measurement or MR imaging, which differs from chemical shift measurement, on the same subject under certain conditions that differ between those data acquisitions. The processing circuitry performs medical data classification on the subject based on first MR data obtained through the first data acquisition and second MR data obtained through the second data acquisition.

Methods, image processing system, and computer program elements are provided for algorithmically determining optimal catheter types for use in traversing a determined vascular path. The algorithmic determination uses geometric values obtained from angiogram imaging data and a database of available catheter types and corresponding geometric values for the available catheter types.

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.

A dynamic magnetic resonance angiography, MRA, method, comprising: acquiring, by an MR scanning device, a multi-contrast magnetic resonance, MR, sequence of a portion of a body; identifying, by a processing circuit, blood vessels of the portion by identifying blood of the portion based on predetermined characteristic of blood and the multi-contrast MR sequence; generating, by the processing circuit, a first MRA image frame and a second MRA image frame, based on the multi-contrast MR sequence, respectively visualising a first part and a second part of the identified blood vessels; generating, by the processing circuit, a dynamic MRA image for visualising a dynamic blood flow through a part of the portion, based on the first and second MRA image frame.

A system is disclosed to simultaneously acquire a magnetic resonance angiography (MRA) image and a plurality of images in which the structure of a tissue other than a blood vessel can be ascertained without performing imaging for the MRA image, and to shorten a time of MR examination. Two or more kinds of physical property dependent images obtained from a nuclear magnetic resonance signal measured in accordance with a predetermined pulse sequence under a plurality of imaging conditions are combined using a predetermined combination function. At this time, a plurality of division regions are set in the physical property dependent image, and the combination parameter satisfying a condition that a difference between a pixel value of the specific tissue and a pixel value of a tissue other than the specific tissue increases is determined at each of the division regions in the actually measured two or more kinds of physical property dependent images, using standard data of the two or more kinds of physical property dependent images, and the combination parameter is used to combine the two or more kinds of 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.

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 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 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 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.