Abstract: An operating method of a ketogenic dietary evaluation system includes steps as follows. The electroencephalogram data of a responder group and the electroencephalogram data of a non-responder group are preloaded, in which each electroencephalogram datum includes electroencephalograms of channels. The electroencephalograms of the channels are preprocessed to obtain the preprocessed electroencephalograms of the channels. A connectivity matrix is obtained on a basis of the phase synchronization between each two of the preprocessed electroencephalograms of the channels. The connectivity matrix is sampled and analyzed through different frequency bands and different proportion threshold values to obtain graphical parameters. A predictive model is established on a basis of a reduction rate of a predetermined event of the responder group, a reduction rate of the predetermined event of the non-responder group and the parameters.

Abstract: The present disclosure provides an operating method of a dopamine transporter check system, and the operation method includes steps as follows. A scan image of a subject's brain is obtained from a scan machine, and the scan image is a three-dimensional image. The scan image is aligned to a standard brain space to obtain a standardized scan image. Intensity normalization is performed on the standardized scan image. The standardized scan image after the intensity normalization is converted into a two-dimensional image. A plurality of image data are got from at least one region of interest in the two-dimensional image, and the at least one region of interest includes a left caudate, a left putamen, a right caudate and a right putamen. A dopamine neuron loss degree measurement and evaluation model based on the image data is established through a transfer learning.

Abstract: The present disclosure provides an operating method of a dopamine transporter check system, and the operation method includes steps as follows. A scan image of a subject's brain is obtained from a scan machine, and the scan image is a three-dimensional image. The scan image is aligned to a standard brain space to obtain a standardized scan image. Intensity normalization is performed on the standardized scan image. The standardized scan image after the intensity normalization is converted into a two-dimensional image. A plurality of image data are got from at least one region of interest in the two-dimensional image, and the at least one region of interest includes a left caudate, a left putamen, a right caudate and a right putamen. A dopamine neuron loss degree measurement and evaluation model based on the image data is established through a transfer learning.

Abstract: The present disclosure provides an operating method of a system for analyzing brain tissue based on computerized tomographic imaging, and the operation method includes steps as follows. A computed tomography image of a subject is aligned to a predetermined standard brain space image, to obtain a first normalized test computed tomography image. A voxel contrast of the first normalized test computed tomography image is enhanced to obtain an enhanced first normalized test computed tomography image. The enhanced first normalized test computed tomography image is aligned to an average computed tomographic image of a control group to obtain a second normalized test computed tomography image. An analysis based on the second normalized test computed tomography image and a plurality of computerized tomographic images of the control group is performed to obtain a t-score map.

Abstract: A medical image processing system includes a memory and a processor coupled to each other. The processor accesses and executes instructions which memory stores to perform the following: obtaining a plurality of brain MR images corresponding to a subject, wherein the brain MR images corresponds to a subject brain space; accessing a DBS targets atlas corresponding to a specific stimulation area; transforming the DBS targets atlas from a MNI brain space to the subject brain space based on a DARTEL algorithm; marking at least one coordinate having a largest Voxel value in the brain MR images based on the transformed DBS targets atlas; and storing the brain MR images being targeted with the at least one coordinate into a predetermined format corresponding to a guiding device so that the guiding device displays the brain MR images being targeted with the at least one coordinate for guidance in DBS procedure.

Abstract: The present disclosure provides an operating method of an automatic analysis system on magnetic resonance imaging (MRI), which includes steps as follows. Images are received from of the subject's brain from the MRI machine. Contrast-enhanced T1-weighted images and T2-weighted images are obtained from the images, and the pre-processing is performed on the images. The ratio of T2-weighted images to contrast-enhanced T1-weighted images is calculated to generate contrast-enhanced images. The unsupervised clustering is performed on the region of interest in the contrast-enhanced image to separate a cystic part and a non-cystic part so as to calculate the feature parameters. After radiosurgery is performed on the brain tumor corresponding to the region of interest, the volume change of the tumor is analyzed. The linear regression analysis of the feature parameters and the volume change of the tumor is performed for prognostic evaluation.

Abstract: The present disclosure provides an operating method of an automatic brain infarction detection system on magnetic resonance imaging (MRI), which includes steps as follows. Images corresponding to different slices of a brain of a subject are received from the MRI machine. The image mask process is performed on first and second images of the images. It is determined whether the cerebellum image intensity and the brain image intensity in the first image are matched. When the cerebellum image intensity and the brain image intensity are not matched, the cerebellar image intensity in the first image is adjusted. The first image is processed through a nonlinear regression to obtain a third image. A neural network identify an infarct region by using the first, second and third images that are cut.

Abstract: A method for manufacturing bioactive glass includes the steps below. A precursor and a polar solvent are mixed to form a mixed solution, in which the precursor includes a silicon precursor, a calcium precursor and a phosphorus precursor. The mixed solution is atomized to form a mixture droplet. The mixture droplet is oxidized in an environment of 500° C. to 900° C. to form the bioactive glass.

Abstract: Compounds extracted from Rhodiola rosea have ability to inhibit gelatinases and collagenases activity. The compounds have the chemical structure as shown below.

Abstract: Compounds extracted from Rhodiola rosea have ability to inhibit gelatinases and collagenases activity. The compounds have the chemical structure as shown below.