Abstract:
A secondary battery and its preparation method, the secondary battery having a negative electrode containing a negative current collector; and no negative active material; an electrolyte having an electrolyte salt and an organic solvent a separator; a positive electrode having a positive active material layer containing a positive active material, wherein the positive active material comprises a material having a layered crystal structure; and a battery case used for packaging. Main active component of the secondary battery is the positive active material having a layered crystal structure, which is environmentally-friendly and low in cost; meanwhile, negative active material is not needed by he second battery system, thereby remarkably reducing the weight and cost of the battery and improving the battery energy density. The reaction mechanism adopted by the secondary battery significantly increases the working voltage of the battery and further improves the energy density of the battery.
Abstract:
A magnetic resonance vessel wall imaging method and device. The method comprises: applying a set pulse sequence into an imaging region, wherein the set pulse sequence comprises, in chronological order, a Delay Alternating with Nutation for Tailored Excitation (DANTE) pulse train, a variable flip angle train of a three-dimensional fast spin echo (SPACE), and a flip-down pulse train (S110); acquiring a magnetic resonance signal generated in the imaging region, and reconstructing a magnetic resonance images of the vessel wall in the imaging region according to the magnetic resonance signal (S120). By adding the flip-down pulse train behind the variable flip angle train of the three-dimensional fast spin echo (SPACE), the cerebrospinal fluid signals of the whole brain can be further suppressed effectively and uniformly, and the DANTE pulse train promotes the vessel wall imaging of the head and neck jointing portion.
Abstract:
The present disclosure provides a navigation method based on a three-dimensional scene, comprising: calculating an interest value of a viewpoint of a camera based on heights, volumes, irregularities and uniqueness of buildings in a scene; generating trajectory parameters of the camera according to the interest value of the viewpoint, so as to navigate according to the trajectory parameters. The navigation method based on a three-dimensional scene of the present disclosure obtains a reasonable interest value of the viewpoint based on heights, volumes, irregularities and uniqueness of the buildings, thereby achieving a high-quality navigation.
Abstract:
A method for reconstructing a three-dimensional model of point clouds includes following steps: a, scanning to obtain point clouds of an object required for a three-dimensional model reconstruction; b, analyzing quality of the obtained point clouds; c, computing a new scanning view based on the analyzed point clouds; d, scanning according to the new scanning view and updating the point clouds of step a based on point clouds obtained by the scanning according to the new scanning view in real time; and e, reconstructing a three-dimensional model according to the point clouds updated in real time. The invention further relates to a system for reconstructing a three-dimensional model of point clouds. The invention can realize full automatic reconstruction of a three-dimensional model and create a model of point clouds with high quality. In addition, the invention is easy to implement and can achieve high efficiency.
Abstract:
An ultrasound deep brain stimulation method and system, the ultrasound deep brain stimulation method comprises: medically imaging a head of an animal or a human being, to generate image data; creating a head 3D digital model according to the image data; creating a 3D digital model of an ultrasound transducer array according to structure, density and acoustic parameters information of the ultrasound transducer array; generating a first ultrasound transmitting sequence according to the head 3D digital model, the 3D digital model of the ultrasound transducer array, structure, density and acoustic parameters of the skull and brain tissues, and structure, density and acoustic parameters of the ultrasound transducer array; and controlling the ultrasound transducer array to transmit ultrasound waves in accordance with the first ultrasound transmitting sequence, to implement ultrasound deep brain stimulation to the brain nucleus to be stimulated. By the use of the present invention, ultrasound can noninvasively passes through the skull to be focused in a deep brain region. By the use of different ultrasound transmitting sequences, ultrasound neuromodulation can be realized, and research on an action mechanism for the ultrasound neuromodulation can be performed.
Abstract:
Disclosed is see-through smart glasses (100) and see-through methods thereof. The see-through smart glasses (100) includes a model storing module (110), an image processing module (130) and an image displaying module (120). The model storing module (110) is used for storing a 3D model of a target; the image processing module (130) is used for identifying target extrinsic marker (210′) of the target (200) based on a user's viewing angle, find out a spatial correlation between the target extrinsic marker (210′) and internal structure (220) based on the 3D model of the target (200), and generating an interior image of the target (200) corresponding to the viewing angle based on the spatial correlation; and the image displaying module (120) is used for displaying the interior image. With the present application, on the premise of not breaking a surface and an entire structure of a target, an internal structure (220) image corresponding to the user's viewing angle can be generated, so that the user can observe the internal structure of the object correctly, intuitively and visually with ease.
Abstract:
A method for reconstructing a three-dimensional model of point clouds includes following steps: a, scanning to obtain point clouds of an object required for a three-dimensional modelreconstruction; b, analyzing quality of the obtained point clouds; c, computing a new scanning view based on the analyzed point clouds; d, scanning according to the new scanning view and updating the point clouds of step a based on point clouds obtained by the scanning according to the new scanning view in real time; and e, reconstructing a three-dimensional model according to the point clouds updated in real time. The invention further relates to a system for reconstructing a three-dimensional model of point clouds. The invention can realize full automatic reconstruction of a three-dimensional model and create a model of point clouds with high quality. In addition, the invention is easy to implement and can achieve high efficiency.
Abstract:
Provided are an image restoration method and device. The method comprises: processing image blocks, which are initially registered, to acquire connection curves among the image blocks; constructing an ambient field of images to be restored by means of the connection curve; by minimizing energy of the connection curve in the ambient field, registering the image blocks; and performing image filling on the registered image blocks to acquire a restored image. The device comprises: a processing unit used for processing the image blocks, which are initially registered, to acquire the connection curve among the image blocks; an ambient field construction unit used for constructing the ambient field of the image to be restored by means of the connection curve; a registering unit used for registering the image blocks by minimizing the energy of the connection curve in the ambient field; and a filling unit used for performing image filling on the registered image blocks to acquire the restored image. The present invention can be applied to restore any damaged image and improve the accuracy.
Abstract:
A method for extracting a skeleton form a point cloud includes: obtaining inputted point cloud sampling data; contracting the point cloud using an iterative formula and obtaining skeleton branches, the iterative formula is: argmin X ∑ i ∈ I ∑ j ∈ J x i - q i θ ( x j - q j ) + R ( X ) , wherein R ( X ) = ∑ i ∈ I γ i ∑ i ′ ∈ I \ { i } θ ( x i - x i ′ ) σ i x i - x i ′ , θ ( r ) = - 4 r 2 h 2 , wherein J represents a point set of the point cloud sampling data, q represents the sampling points in the point set J, I represents a neighborhood point set of the sampling points q, x represents the neighborhood points in the neighborhood point set I, R is a regular term, γ is a weighting coefficient, h is a neighborhood radius of the neighborhood point set I, and σ is a distribution coefficient; and connecting the skeleton branches and obtaining a point cloud skeleton.
Abstract translation:一种用于从点云提取骨架的方法包括:获得输入的点云采样数据; 使用迭代公式收集点云并获得骨架分支,迭代公式为:argmin XΣi∈IΣ∈;;;;;;;;;;;;;;; (X)其中R(X)=Σi∈IγΣΣΣas as;;;;;;;;;;;;;;;;;;;;;;;; (x i - x i')&sgr; 我;;;; (r)= - 4r 2 h 2,其中J表示点云采样数据的点集,q表示点集合J中的采样点,I表示采样点q的邻域点集 ,x表示邻域点集I中的邻域,R是常规项,γ是加权系数,h是邻域点集I的邻域半径,&sgr; 是分布系数; 并连接骨架分支并获得点云骨架。
Abstract:
A magnetic resonance multi-core array radio frequency device and a magnetic resonance signal receiving method are provided. The device comprises a radio frequency receiver which includes a radio frequency coil (11), a low noise preamplifier (13), a multiplexer (15), a radio frequency band-pass filter (17), a program control amplifier (19), a frequency synthesizer (21), a mixer (23), an analog to digital converter (29) and a controller (31). The controller (31) is used for controlling the multiplexer (15) to select a corresponding radio frequency coil channel, a corresponding filtering channel, gain of the radio frequency band-pass filter (17), and receiving a magnetic resonance digital signal transmitted by the analog to digital converter (29). Due to the multiplexer (15), there is no need to configure different circuits respectively for different nuclear magnetic resonance, redundancy of the circuits is reduced, and cost is reduced.