49 results about "Brain White Matter" patented technology

The invention discloses a DTI image analytical method based on multiple variables. The DTI image analytical method based on the multiple variables is used for determining and extracting diseased areas of the brain white matter in the disease brain mechanism research, thereby providing an imaging basis for clinical treatment. The method includes the specific steps that data are preprocessed, wherein the preprocessing procedures include eddy current removal, head motion correction, cranium removal, dispersing and fitting and white matter skeleton building; characteristic extraction is conducted on the preprocessed data, the significant difference areas of a patient group and a healthy people group are obtained through replacement inspection and with the ages serving as the concomitant variables, the average value of the certain variables in the significant difference areas is worked out respectively, and the characteristic value is obtained; cross validation is conducted through a leave-one-out method, whether the stop criterion is met or not is judged, and if not, the average weight value of each characteristic is worked out, and the characteristic with the minimum average weight value is removed until the stop criterion is met; the finally obtained brain area is the brain lesion area. According to the method, the DTI imaging mode is adopted, the imaging basis is provided for finding the lesion area in the clinical treatment through the multivariable research method.

The invention discloses an obtaining method of a rat head magnetic resonance image Monte Carlo simulation model, which belongs to the technical field of tissue optics. The obtaining method based on the specific combination of multiple image segmenting methods comprises the following steps of: firstly, determining a gray threshold value through analysis, and segmenting out skull tissues by adopting a threshold value segmentation, corrosion and expansion algorithm and a binary image maximum region labeling method; then removing all the tissues at the upper part of a skull in an original image, and segmenting out scalp tissues by adopting a narrow-band level set of special parameters; afterwards, segmenting out cerebrospinal fluid, ectocinerea and alba in the image in which the scalp and theskull are removed by adopting fast fuzzy clustering; and finally respectively endowing the five segmented tissues and background parts with different gray values to obtain a multi-tissue model. The invention can overcome the limitation of a single image segmenting method, rapidly and accurately obtains the rat head magnetic resonance image Monte Carlo simulation model, and has good practical application prospect.