Other

National Central University

Astec International Limited

Taipei Medical University

Energy Resources International Co., Ltd.

Hannstouch Solution Inc.

Yu-Wei Chen

Syu-Jyun Peng

Jang-Zern Tsai

Kuo-Wei Wang

Yeh-Lin Kuo

Cheng-Sheng Chen

Hsu-Ho Wu

Ching-Feng Tsai

Che-Yu Chuang

Wen-How Lan

Hung-Chiang Huang

Yi-Teng Shiu

Shu-Fen Liao

Wei-Hsuan Ho

Tsung-Min Yang

Reng-Sho Chen

Jing-Yu Yang

Chi-Kuang Lai

Meng-Zong Tsai

Lin-Yu Kao

A circuit board assembly for electronic devices includes a circuit board having a first surface and a second surface opposite the first surface, and a heat sink carrier disposed on the first surface of the circuit board. The heat sink carrier includes at least one clamp portion. The assembly also includes a heat sink. The heat sink is positioned in the at least one clamp portion of the heat sink carrier to transfer heat from one or more electronic devices to the heat sink via the heat sink carrier.

Circuit board assemblies for electronic devices

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.

System for analyzing brain tissue components based on computed tomography image and operation method thereof

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.

Automatic brain infarction detection system on magnetic resonance imaging and operation method thereof

A handheld radiation image detecting system and an operation method thereof are provided. The handheld radiation image detecting system includes a handheld device including a radiation emitter and a first transceiver and a sensing device including a radiation image sensor and a second transceiver. The first transceiver is coupled to the radiation emitter and used for generating a first wave with directionality. The second transceiver is used for receiving the first wave and for generating a second wave with directionality, and the first transceiver is used for receiving the second wave.

Handheld radiation image detecting system and operating method thereof

An electronic building block set with a metal layer on the outer surface of each building block includes a main and an auxiliary building block. The top of the main building block includes plural main hollow posts, each with a main sensing contact, and has a main metal layer on the outer surface. The main sensing contacts and the main metal layer are electrically connected to opposite-polarity main electrode circuits respectively. The bottom of the auxiliary building block includes a first sensing element and has an auxiliary metal layer on the outer surface. The first sensing element and the auxiliary metal layer are electrically connected to opposite-polarity auxiliary electrode circuits respectively. When the building blocks are engaged, the first sensing element is electrically connected to the corresponding main sensing contact, and the auxiliary metal layer, to the main metal layer to enable electricity or signal transmission between the building blocks.

Electronic building block set with metal layer on outer surface of each building block

A handheld X ray device comprises a camera-like X ray generator body having a zoom ring-like object at a front side of the X ray generator body as an exit of X rays and has a collimator section atop a surface of the zoom ring-like object. The camera-like X ray generator body inside has a voltage boosting circuit, an oscillator circuit, a battery, and a control circuit, and a user interface at a real panel of the camera-like X ray generator body. The glass ball-tube is a cold cathode type X-ray generator with a tungsten filament at a periphery of a cold cathode. The voltage boosting circuit, the oscillator circuit, boosting the voltage of the battery up to a predetermined high voltage under controlled of the control circuit assisting by the user interface.

Handheld x-ray device by cold cathode

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.

Magnetic resonance imaging white matter hyperintensities region recognizing method and system

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 I. A threshold is determined, which is the I+ 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.

Method for detecting and quantifying cerebral infarct

Growing community of inventors

Taipei, Taiwan

Yu-Wei Chen