Computing system and method for identifying and visualizing cerebral thrombosis based on medical images

A method of identifying and visualizing a thrombosis, the method comprising:

• identifying a blood vessel region from an acquired computer tomography angiography (CTA) image of an examinee;
• registering the identified blood vessel region and a CTA image-based average standard model to each other;
• detecting a thrombosis-occluded region based on a difference between the identified blood vessel region and the registered average standard model;
• and
• visualizing the detected thrombosis-occluded region by assigning a visual effect, adapted to distinguish the detected thrombosis-occluded region from a remaining portion of the CTA image of the examinee, to the detected thrombosis-occluded region.

A computing system for identifying and visualizing a thrombosis, the computing system comprising:

• a receiving module configured to receive a computer tomography (CT) image of an examinee acquired by a medical image diagnostic apparatus;
• a database configured to store a computer tomography angiography (CTA) image-based average standard model;
• and
• a processor configured to:
• receive the average standard model from the database;
• register the CT image and the CTA image-based average standard model to each other, and identify a candidate blood vessel region from the CT image based on results of the registration;
• acquire a volume, selected by applying a threshold value for brightness of the CT image to the candidate blood vessel region, as a first thrombosis candidate region, and acquire at least part of the first thrombosis candidate region as a second thrombosis candidate region based on size information of the first thrombosis candidate region;
• and
• visualize the second thrombosis candidate region by assigning a visual effect, adapted to distinguish the second thrombosis candidate region from a remaining portion of the CT image, to the second thrombosis candidate region.

A computing system for identifying and visualizing a thrombosis, the computing system comprising:

• a receiving module configured to receive a computer tomography angiography (CTA) image of an examinee acquired by a medical image diagnostic apparatus;
• a database configured to store a CTA image-based average standard model;
• and
• a processor configured to:
• receive the average standard model from the database;
• identify a blood vessel region from the CTA image, and register the identified blood vessel region and the average standard model to each other;
• and
• detect a thrombosis-occluded region based on a difference between the identified blood vessel region and the average standard model, and visualize the detected thrombosis-occluded region by assigning a visual effect, adapted to distinguish the detected thrombosis-occluded region from a remaining portion of the CTA image, to the detected thrombosis-occluded region.