Rcadia Medical Imaging Ltd.

Shay Ohayon

Eugene Walach

Roman Goldenberg

Shai Levanon

Grigory Begelman

A method of defining a heart region from imaging data is provided. Received imaging data is projected into a first plane. A first threshold is applied to the first plane of data to eliminate data associated with air. A largest first connected component is identified from the first threshold applied data. A first center of mass of the identified largest first connected component is calculated to define a first coordinate and a second coordinate of the heart region. The received imaging data is projected into a second plane, wherein the second plane is perpendicular to the first plane. A second threshold is applied to the second plane of data to eliminate data associated with air. A largest second connected component is identified from the second threshold applied data. A second center of mass of the identified largest second connected component is calculated to define a third coordinate of the heart region.

Identifying aorta exit points from imaging data

Creating a blood vessel tree from imaging data

A method of identifying a calcium and/or a soft plaque deposit in a blood vessel using imaging data of the blood vessel is provided. A first threshold is applied to a slice of three-dimensional imaging data of a blood vessel to define voxels above the first threshold. A maximum intensity of the blood vessel is identified from the defined voxels. A distance from the identified maximum intensity to a center of the blood vessel is calculated and is compared with a distance threshold. If the calculated distance is greater than the distance threshold, a calcium deposit is identified. A second threshold is applied to the slice to define voxels below the second threshold. If a calcium deposit is identified or if the defined voxels below the threshold have a half-moon shape, a soft plaque deposit is identified.

Method and system for automatic analysis of blood vessel structures to identify calcium or soft plaque pathologies

A method of automatically performing a triple rule-out procedure using imaging data is provided. Imaging data is received that includes a heart region, a pulmonary artery region, an ascending aorta region, and a thoraco-abdominal aorta region of a patient. The heart region, an ascending aorta object, an abdominal aorta object, a left main pulmonary artery object, and a right main pulmonary artery object are identified from the imaging data. The identified heart region is analyzed to detect a coronary pathology. The identified ascending aorta object and the identified abdominal aorta object are analyzed to detect an aortic dissection. The identified left main pulmonary artery object and the identified right main pulmonary artery object are analyzed to detect a pulmonary embolism. A report is generated that includes any detected coronary pathology, any detected aortic dissection, and/or any detected pulmonary embolism.

Method and system for automatic analysis of blood vessel structures and pathologies in support of a triple rule-out procedure

A method of presenting information associated with a blood vessel to a user for assessment of the blood vessel is provided. A two-dimensional slice of three-dimensional imaging data of a blood vessel is presented to a user in a first user interface. A blood vessel selection is received from the user. The user selects the blood vessel through an interaction with the first user interface. A blood vessel path associated with the received blood vessel selection is identified from the three-dimensional imaging data. An intensity of the selected blood vessel along the identified blood vessel path is presented to the user for analysis of the selected blood vessel.

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Haifa, Israel

Shay Ohayon