Abstract: A method for distinguishing between gray matter and white matter starting from a time-dependent computed tomography image data record from a perfusion CT examination is disclosed. In at least one embodiment, a plurality of time-independent images are calculated from the time-dependent image data record, a plurality of threshold histogram analyses are performed in order to determine regions of the brain which can be assigned to one or more types of cerebral matter, and subsequently the region of gray matter is determined from the information obtained in respect of type and region of the cerebral matter using at least one logical combination and at least one exclusion method. A control and computational unit is also disclosed with a storage medium in which a computer program or program module is stored, which executes the described method during operation.

Abstract: A method for distinguishing between gray matter and white matter starting from a time-dependent computed tomography image data record from a perfusion CT examination is disclosed. In at least one embodiment, a plurality of time-independent images are calculated from the time-dependent image data record, a plurality of threshold histogram analyses are performed in order to determine regions of the brain which can be assigned to one or more types of cerebral matter, and subsequently the region of gray matter is determined from the information obtained in respect of type and region of the cerebral matter using at least one logical combination and at least one exclusion method. A control and computational unit is also disclosed with a storage medium in which a computer program or program module is stored, which executes the described method during operation.

Abstract: In order to compare a left and a right half of the brain of a patient on the basis of medical 2D or 3D image data records for determining the perfusion, the brain of the patient is subdivided into brain regions, wherein the number of brain regions is an even number n, a number n/2 of the brain regions being arranged in the right half of the brain and a number n/2 of the brain regions being arranged in the left half of the brain, with each of the brain regions arranged in the right half of the brain being unambiguously assigned to a brain region arranged in the left half of the brain, and the brain being subdivided by planes standing perpendicularly on a median sagittal plane. In at least one embodiment, the image data records are segmented, wherein brain image data records are generated which only include those picture elements of the image data records which represent the brain of the patient.