Abstract: A brain imaging system and a brain imaging method are provided. The brain imaging system includes a first imaging device, a second imaging device and a processor. The first imaging device captures a first brain image set by scanning a patient, and the second imaging device captures a second brain image set. The processor is configured to: pre-process and enhance first and second brain image sets; select first features that are optimal for estimating cerebral perfusion and select second features that are optimal for brain lesion identification; obtain, by performing calculations on first features, a plurality of brain perfusion indices; and identify, by inputting the second features to a third deep learning model having been trained, position information and volume information of one or more target brain lesions in the brain of the patient.

Abstract: A brain imaging system includes a first imaging device, a second imaging device, a third imaging device and a central processor. The first imaging device captures a first brain image, and calculates a cerebral blood flow, a cerebral blood volume, a cerebral blood mean transit time and a first contrast agent time to peak. The second imaging device captures a second brain image, and calculates the cerebral blood flow, the cerebral blood volume, the cerebral blood mean transit time and a second contrast agent time to peak. The central processor generates an image of a vessel occlusion, infarction or ischemia region respectively according to the vessel occlusion, infarction or ischemia regions in the first brain image and in the second brain image. The third imaging device obtains a brain atrophy region according to the cerebral cortex volume calculated by the third imaging device.