Abstract: A method of determining the reliability of a high-voltage PMOS (HVPMOS) device includes determining a bulk resistance of the HVPMOS device, and evaluating the reliability of the HVPMOS device based on the bulk resistance.

Abstract: A semiconductor structure includes a first gate structure, a second gate structure coupled to the first gate structure, a source region, a first drain region, and a second drain region. The source region is surrounded by the first gate structure and the second gate structure. The first drain region is separated from the source region by the first gate structure. The second drain region is separated from the source region by the second gat structure. A shape of the first drain region and a shape of the second drain region are different from each other from a plan view.

Abstract: The invention relates to a method for determining ischemic status. The method comprises acquiring magnetic resonance diffusion tensor matrices and obtaining a relative decrease of diffusion magnitude due to the ischemic status from the magnetic resonance diffusion tensor matrices. The invention also relates to a method for assessing stroke onset time. The method comprises acquiring magnetic resonance diffusion tensor matrices and obtaining a relative decrease of pure anisotropy due to stroke from the magnetic resonance diffusion tensor matrices.

Abstract: A brain tumor types distinguish system includes an image outputting device and a server computing device. The image outputting device outputs at least three brain images captured from the position of a brain tumor. The server computing device pre-stores a plurality of distinguish pathways corresponding to different types of brain tumors. The server computing device includes an image receiving module, an image pre-processing module, a data comparison module and a distinguish module. The image receiving module receives the brain images. The image pre-processing module pre-processes the brain images to obtain corresponding processed images thereof. The data comparison module compares the brain images and the processed images with the distinguish pathways to obtain at least three comparison results. The distinguish module statistically analyzes the comparison results to obtain a distinguish result.

Abstract: A benign tumor development trend assessment system includes an image outputting device and a server computing device. The image outputting device outputs first/second images captured from the same position in a benign tumor. The server computing device includes an image receiving module, an image pre-processing module, a target extracting module, a feature extracting module and a trend analyzing module. The image receiving module receives the first/second images. The image pre-processing module pre-processes the first/second images to obtain first/second local images. The target extracting module automatically detects and delineates tumor regions from the first/second local images to obtain first/second region of interest (ROI) images. The feature extracting module automatically identifies the first/second ROI images to obtain at least one first/second features. The trend analyzing module analyzes the first/second features to obtain a tumor development trend result.

Abstract: A method for enhancing an accuracy of a benign tumor development trend assessment system includes: a first processing procedure, an image captured before the treatment is inputted to and be processed by a server computing device of the benign tumor development trend assessment system to obtain a first processing result; a second processing procedure, the images captured before and in at least one period after the treatment are inputted to and processed by the server computing device to obtain a second processing result; a trend analyzing procedure, the trend analyzing module of the server computing device analyzes the first processing result, the second processing result and the trend pathways to obtain a tumor development trend result; and a storing procedure, the first processing result, the second processing result and the tumor development trend result are transformed to an individual trend pathway which is stored in the trend analyzing module.

Abstract: The invention relates to a method for determining ischemic status. The method comprises acquiring magnetic resonance diffusion tensor matrices and obtaining a relative decrease of diffusion magnitude due to the ischemic status from the magnetic resonance diffusion tensor matrices. The invention also relates to a method for assessing stroke onset time. The method comprises acquiring magnetic resonance diffusion tensor matrices and obtaining a relative decrease of pure anisotropy due to stroke from the magnetic resonance diffusion tensor matrices.

Abstract: The invention relates to a method for determining ischemic status. The method comprises acquiring magnetic resonance diffusion tensor matrices and obtaining a relative decrease of diffusion magnitude due to the ischemic status from the magnetic resonance diffusion tensor matrices. The invention also relates to a method for assessing stroke onset time. The method comprises acquiring magnetic resonance diffusion tensor matrices and obtaining a relative decrease of pure anisotropy due to stroke from the magnetic resonance diffusion tensor matrices.

Abstract: A benign tumor development trend assessment system includes an image outputting device and a server computing device. The image outputting device outputs first/second images captured from the same position in a benign tumor. The server computing device includes an image receiving module, an image pre-processing module, a target extracting module, a feature extracting module and a trend analyzing module. The image receiving module receives the first/second images. The image pre-processing module pre-processes the first/second images to obtain first/second local images. The target extracting module automatically detects and delineates tumor regions from the first/second local images to obtain first/second region of interest (ROI) images. The feature extracting module automatically identifies the first/second ROI images to obtain at least one first/second features. The trend analyzing module analyzes the first/second features to obtain a tumor development trend result.

Abstract: The invention relates to a method for determining ischemic status. The method comprises acquiring magnetic resonance diffusion tensor matrices and obtaining a relative decrease of diffusion magnitude due to the ischemic status from the magnetic resonance diffusion tensor matrices. The invention also relates to a method for assessing stroke onset time. The method comprises acquiring magnetic resonance diffusion tensor matrices and obtaining a relative decrease of pure anisotropy due to stroke from the magnetic resonance diffusion tensor matrices.

Abstract: The present invention relates to a method for manufacturing artificial implants, comprising 1) acquiring the pre-operation three dimensional volume image and the post-operation three dimensional volume image of the operation portion, thereby respectively producing the pre-operation target image and the post-operation target image including the target; 2) aligning the pre-operation target image with the post-operation target image so as to generate the aligned image; 3) acquiring the difference image of the incised part in the target based on the aligned image; 4) building the three dimensional model of mold points of the incised part based on the difference image; and 5) manufacturing the artificial implant having the same shape with the incised part based on such three dimensional model of mold points.

Abstract: The present invention relates to a method for manufacturing artificial implants, comprising 1) acquiring the pre-operation three dimensional volume image and the post-operation three dimensional volume image of the operation portion, thereby respectively producing the pre-operation target image and the post-operation target image including the target; 2) aligning the pre-operation target image with the post-operation target image so as to generate the aligned image; 3) acquiring the difference image of the incised part in the target based on the aligned image; 4) building the three dimensional model of mold points of the incised part based on the difference image; and 5) manufacturing the artificial implant having the same shape with the incised part based on such three dimensional model of mold points.