Classifying Image Data for Vasospasm Diagnosis

摘要

In order to classify a cerebral vascular segment as normal or pathological, a time-series of three dimensional (3D) images representing the cerebral vascular segment is generated. A length of the cerebral vascular segment is determined, and a blood flow speed through the cerebral vascular segment is determined based on the length and the generated time-series of 3D images. The cerebral vascular segment is categorized based on the determined blood flow, and a representation of the cerebral vascular segment is displayed based on the categorization.

主权项

1. A method for classifying image data representing a volume, the method comprising:
generating, by an imaging device, a plurality of two dimensional (2D) datasets, the plurality of 2D datasets representing the volume with a contrast medium injected into the volume; generating, by a processor, a three dimensional (3D) dataset representing the volume based on the plurality of 2D datasets; generating, by the processor, a time-series of 3D images of the volume based on the 3D dataset representing the volume, and the plurality of 2D datasets; determining a length of a portion of the 3D dataset; and determining a speed of blood flow within the volume based on the generated time-series of 3D images of the volume and the determined length of the portion of the 3D dataset.