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Method and device for dynamic registration of neuron activity images based on cuda acceleration

A technology of moving images and neurons, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as complex algorithms, inability to achieve real-time registration, and inability to solve elastic deformation, achieve rapid registration, and facilitate statistical analysis. and further processing, the registration effect is good

Active Publication Date: 2019-06-07
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0003] Currently commonly used neuron active image registration methods include rigid transformation and non-rigid transformation. Rigid transformation can only realize image translation, rotation, and zoom transformation, but cannot solve elastic deformation. Non-rigid transformation can solve elastic deformation, but the algorithm is more complicated. Real-time registration cannot be achieved

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  • Method and device for dynamic registration of neuron activity images based on cuda acceleration

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[0024] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0025] The CUDA (Compute Unified Device Architecture, unified computing device architecture) accelerated neuron activity image registration method of the present invention will be described in detail below with reference to the accompanying drawings. Declare the representation symbol as follows:

[0026] Template image: u ref , input image: u 0 , mean-stretched image: u 1 , the image after the first rigid transformation: u 2 , output the registered image: u 3 ;

[0027] The length of the image to be registered is M, the width is N, the pixel value of the position (i, j) in the image is v(i, j), the average gray value of the image is m, and the overall translation of the image to be registered is ( Δx, Δy), the trans...

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Abstract

The invention discloses a neuron activity image dynamic registration method based on CUDA acceleration. The method comprises the steps that mean stretching is performed on an input image so that the image after mean stretching is obtained; the overall translation of the image after mean stretching is calculated by using Fourier transform; rigid transformation is performed on the image after mean stretching by using the translation and a template image so that the image after primary rigid transformation is obtained; the image after primary rigid transformation and the template image are divided into multiple small areas, and the translation of each small area is calculated by using Fourier transform; and the translation of each pixel point in the image after primary rigid transformation is calculated by using the translation of the small areas, and each pixel point in the image after primary rigid transformation is updated by using the translation and the template image so that the registration image is obtained. Parallel acceleration calculation of neuron activity image registration is realized based on the CUDA frame so that real-time registration of the neuron activity image can be realized.

Description

technical field [0001] The invention relates to image registration technology, in particular to a method and device for dynamic registration of neuron activity images based on CUDA acceleration. Background technique [0002] With the development of light sheet microscopy imaging technology, it is now possible to rapidly acquire neural images of living zebrafish with single-cell resolution. Due to the stimulation or spontaneous movement of zebrafish, the collected images of neuron activity appear certain deformations. Therefore, registration processing is required for zebrafish neuron activity images to align neurons in the neuron activity images to facilitate subsequent statistical analysis and further processing of neuron activity. [0003] Currently commonly used neuron active image registration methods include rigid transformation and non-rigid transformation. Rigid transformation can only realize image translation, rotation, and zoom transformation, but cannot solve ela...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/33
CPCG06T2207/10056G06T2207/20056
Inventor 田捷孟慧惠辉董迪杨鑫
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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