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 method for detecting a cerebral infarct includes receiving an image of a brain of a subject from a magnetic resonance imaging scanner, wherein the image has a plurality of voxels, and each of the voxels has a voxel intensity. Then, the voxel intensities are normalized, wherein the normalized voxel intensities have a distribution peak, and the normalized voxel intensity of the distribution peak is Ipeak. A threshold is determined, which is the Ipeak+ a value. Voxel having the normalized voxel intensity larger than the threshold is selected, wherein the selected voxel is the cerebral infarct. A method for quantifying the cerebral infarct is also provided.
Abstract:
A novel system and method for charge-monitoring mass spectrometry is provided. The mass spectrometer can be used to measure the mass of one or more analytes having masses in the range of about a few Daltons to more than about 1015 Daltons. The invention can be used for rapid mass distribution measurements. For example, the system and method can be used to distinguish cancer cells from normal cells when their mass distributions are different.
Abstract:
A method for preparing luminescent diamond particles (e.g., fluorescent nanodiamonds). The method includes irradiating diamond particles with an ion beam and heating the irradiated diamond particles in a non-oxidizing atmosphere at a temperature between 600 and 1000° C. The diamond particles have a diameter of 1 nm to 1 mm and the ion beam has a kinetic energy of 1 KeV to 900 MeV. Also disclosed are luminescent diamond particles prepared by this method and methods of using them.
Abstract:
A method for identifying a biological organism that includes providing a biological sample corresponding to the biological organism, ionizing the biological sample to produce an ionized sample of the biological sample, performing a mass spectrometry analysis of the ionized sample, and identifying the biological organism in accordance with the mass spectrometry analysis.
Abstract:
An optical tomography imaging system includes a signal generator, at least one light emitter, at least one light receiver, a signal processor, and an image processor. The signal generator is configured to generate a periodic signal and a reference signal. The light emitter is configured to be activated by the periodic signal to generate an optical signal passing through an object under test. The light receiver is configured to receive and convert the optical signal passing through the object under test into an electrical signal. The signal processor is configured to generate a comparison signal according to the electrical signal and the reference signal. The image processor is configured to acquire a plurality of disassembled sine waves from the comparison signal and generate a reconstructed image according to the disassembled sine waves.
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:
An optical tomography device includes a carrier base, at least one slide rail, at least one sliding assembly, and at least one optical channel member. The carrier base has a through hole. The slide rail is located on the carrier base and extends toward the through hole. The sliding assembly includes a sliding block, a guiding rod, and an elastic component. The sliding block is slidably connected to the slide rail and has a first restriction portion. The guiding rod is slidably connected to the sliding block and has a second restriction portion. The elastic component is configured to be deformed by the first restriction portion and the second restriction portion. The optical channel member is coupled with the guiding rod.
Abstract:
A kit for detecting urothelial carcinoma is provided. The kit includes at least one primer or probe for detecting one or more miRNAs, and the one or more miRNAs are selected from the group consisting of miR-19b-1, miR-636, miR-150, miR-155, miR-183, miR-378, miR-210, miR-487, and combinations thereof. A method for detecting urothelial carcinoma is also provided. The method includes detecting the expression level(s) of one or more miRNAs in a sample of a subject, and the one or more miRNAs are selected from the group consisting of miR-19b-1, miR-636, miR-150, miR-155, miR-183, miR-378, miR-210, miR-487, and combinations thereof.
Abstract:
A magnetic resonance imaging white matter hyperintensities region recognizing method and system are disclosed herein. The white matter hyperintensities region recognizing method includes receiving and storing a FLAIR MRI image, a spin-lattice relaxation time weighted MRI image, and a diffusion weighted MRI image. Registration and fusion are preformed, and a white matter mask is determined. An intersection image of the FLAIR MRI image and the white matter mask is taken, a first region is determined after normalizing the intersection image, a cerebral infarct region is removed from the first image through the diffusion weighted MRI image, and then a determination is made as to whether to remove a remaining region in order to form a white matter hyperintensities region in the FLAIR MRI image.