Abstract:
PURPOSE: A metallic shadow removal method of X ray electronic layer photographing image is provided to use one part of projecting images. CONSTITUTION: A device generates an initial restriction image(S110). The device removes a metal part expressing a metallic inserted object the initial restoring image. The device generates a background image(S120). The device extracts a metal part from a plurality of projecting images. The device generates a metal image about the extracted metallic unit(S130). The device generates an initial restoration image by synthesis of a background image and a metal image(S140).
Abstract:
감마선 산란 사이노그램을 생성하여 영상을 재구성하기 위한 방법 및 장치가 제공된다. 초기의 산란 보정이 되지 않은 재구성 영상에서, 광자의 발생 위치가 결정된다. GPU는 몬테카를로 시뮬레이션을 사용하여 광자의 이동을 연산한다. 광자가 검출기에 도달한 위치를 통해 3차원 측정선이 계산되며, 계산된 측정선은 3차원 사이노그램 형식으로 변환되어 프롬프트 사이노그램 및 감마선 산란 사이노그램에 저장된다. 감마선 산란 사이노그램의 스케일을 조정함으로써 최종적인 감마선 산란 사이노그램이 생성된다.
Abstract:
PURPOSE: A method and a device for estimating and recovering scattered X-rays of a digital tomography system are provided to obtain the method and the device of a speed improved more than hundreds of times by using a graphic operating device. CONSTITUTION: A device(100) for estimating and recovering scattered X-rays comprises a receiving unit and a graphic operating device(130). The receiving unit receives X-ray transmission data generated by actually measuring an object through a wire/wireless network. The graphic operation device obtains a reconstituted image, in which the final scattering is corrected, based on the received X-ray transmission data. [Reference numerals] (100) X-ray scattering estimation and recovery device; (110) Receiving unit; (120) Control unit; (130) Graphic operating device; (AA,BB,CC,140) Core
Abstract:
PURPOSE: A method and an apparatus for reconstructing positron emission tomography image parallely using a GPU(Graphics Processing Unit) is provided to reduce operation time by using an ordered subset expectation maximization method. CONSTITUTION: A sinogram is received for reconstruction(S210). The received sinogram is a gamma-ray emission sinogram. The final sinogram is generated by processing the received sinogram according to mathematical expression(S220). A constant table is generated for generating a reconstruction image(S230). The final three dimensional reconstruction image is generated by applying the ordered subset expectation maximization method(S240).
Abstract:
PURPOSE: A method and a device estimating a montecarle simulation gamma-ray scattering with positron emission tomography images using a GPU(Graphics Processing Unit) are provided to reduce calculating time by using a parallel processing and to generates a gamma-ray scattering sonogram by using a hybrid CPU(Central Processing Unit)-GPU structure. CONSTITUTION: An image reconstruction method comprises next steps. A sonogram actually measured and generated by measuring an object is received(210). A montecarle simulation with respect to initial generation positions of the object in which the gamma rays are generated is performed(220). The montecarle simulation is parallelly performed per each initial generation position of photons by using a GPU. Gamma ray scattering sonogram in which the gamma ray scattering is corrected is generated base on the information of the scattered photons generated by the montecarle simulation(230). Images reconstructed by the gamma ray scattering sonogram are generated(240). [Reference numerals] (210) Receiving actually measured sonogram; (220) Performing a monte carlo simulation; (230) Generating a Gamma ray scattering sonogram; (240) Generating reconstructed images; (AA) Start; (BB) Finish
Abstract:
PURPOSE: A gamma ray diffusion estimation method in a positron emission tomography image using a GPU(Graphic Processing Unit) and apparatus thereof are provided to reduce a calculation time by performing a single diffusion simulation based on the GPU. CONSTITUTION: A reception unit(810) receives sinogram data. A control unit(820) determines the reduction rate of the sinogram and creates reduction sinogram according to the reduction rate. The control unit magnifies the reduced sinogram to the original size of the sinogram and creates a gamma ray diffusion sinogram. The control unit includes a GPU(830). The GPU creates a gamma ray diffusion value in parallel. The GPU calculates a pixel value about the pixels of the gamma ray diffusion sinogram using interpolation.