Abstract:
PURPOSE: A method and an apparatus for reconstructing an image for performing the parallel-treatment in the high definition positron emission tomography are provided to convert the sinogram format so that the sinogram format is suitable to the parallel-treatment in a forward projection and a back projection during the image reconstruction based on ordered subset expectation maximization (OSEM), thereby facilitating the computing optimized to the parallel-treatment. CONSTITUTION: A method for reconstructing an image for performing the parallel-treatment is as follows. The line-of-response which is detected from a detector is converted into a sinogram format which has a cone beam shape by responding to the radiation with which a measurement target body is irradiated (810). The back projection is performed based on the converted lines-of-response (830). The image is reconstructed by using the performance result of the back projection (850). [Reference numerals] (810) Convert the line-of-response (LOR) into a sinogram format with the shape of a cone beam; (830) Perform back projection; (850) Reconstruct the image; (AA) Start; (BB) End
Abstract:
본 발명은 엑스선 촬영 장치로 촬영한 엑스선 촬영 영상, 특히 치과용 엑스선 촬영 장치로 촬영한 엑스선 촬영 영상에서 발생되는 메탈 아티팩트(metal artifact)를 감소시키는 방법을 제시하는 엑스선 촬영 영상에서 메탈 아티팩트를 감소시키는 방법에 관한 것이다. 엑스선 촬영 장치, 메탈 아티팩트, 프로젝션, FBP
Abstract:
PET(Positron Emission Tomography) 검출기 전체 또는 침대의 움직임을 통하여 인가된 입력 신호를 PET(Positron Emission Tomography)의 위치에 따라 분류된 입력 신호를 재구성하여 제1 영상 세트를 생성하고, 상기 제1 영상 세트에 따른 PSF(point spread function)를 기반으로 초해상도(Super-resolution) 알고리즘을 적용하여 제2 영상 정보를 생성하는 영상 생성 장치를 제공한다.
Abstract:
PURPOSE: A device and method for improving resolution in a positron emission tomography are provided to implement an image with high resolution by converting a sinogram extracted from radiation into the sinogram with high resolution. CONSTITUTION: A reactive line detector(301) detects a reactive line in response to radiation irradiated to an object. A sinogram extractor(302) extracts a sinogram from the detected reactive line. A high resolution converter(303) converts the extracted sinogram to a sinogram with high resolution. An image re-composition processor(304) re-composes the image of high resolution from the sinogram with high resolution. The image re-composition processor uses OSEM(Ordered-subset expectation maximization) algorithm.
Abstract:
PURPOSE: A method for reducing a metal artifact from an X-ray image is provided to obtain a clear X-ray image by removing the metal artifact due to an artificial prosthetic device or filler from a teeth X-ray image. CONSTITUTION: An initial re-composition image is obtained from X-ray projection data(S100). A metal image is separated from the initial re-composition image(S200). A first correction re-composition image is obtained by interpolating a first missing region(S300). A second correction re-composition image is obtained by a smoothing method(S400). First re-projection data is obtained by re-projecting a second correction re-composition image(S500). Second re-projection data is obtained by interpolating the first re-projection data(S600). A final re-composition image is completed by assembling the finial re-composition image and the metal image(S800).
Abstract:
엑스선영상장치는, 촬영영역(FOV, field of view)의투영영상에대해역투영영상을생성하는역투영영상생성부; 및역투영영상의주파수성분에기초하여주파수별복원영상을생성하고, 주파수별복원영상을합성하여투영영상에대한복원영상을생성하는영상복원부; 를포함할수 있다. 이와같은엑스선영상장치및 엑스선영상장치의제어방법에의하면, 대상체의전부또는일부영역에대해복원영상을생성할수 있다. 특히, 대상체내부의일부분의정보를알 수없는경우또는촬영영역(FOV, field of view)이대상체내부의일부분만을포함하는경우에도복원영상을생성할수 있으며, 이에따라대상체에대한엑스선조사범위를축소하여엑스선의피폭량을감소시킬수 있다. 또한, 영상복원을위한연산량및 연산의복잡도를감소시켜복원영상의생성시간을단축시킬수 있다.
Abstract:
PURPOSE: A method and apparatus for processing OSEM in parallel based on GPU are provided to reduce operation time by integrally performing preprocesses for image reconstruction. CONSTITUTION: A preprocessor(110) outputs gamma-ray emission sinogram based on a preprocessing result. A constant table declaring unit(120) declares a constant table including one or more information of a recovery object. An image reconstruction integration estimating unit(130) outputs the final reconstruction image by performing the maximum probability algorithm. [Reference numerals] (100) OSEM parallel processing device; (110) Preprocessor; (120) Constant table declaring unit; (130) Image reconstruction integration estimating unit
Abstract:
PURPOSE: A super-resolution photographing device and a super-resolution photographing method using a PSF(Point Spread Function) and a wobble motion in a positron emission tomography are provided to implement an image with super-resolution based on the PSF according to the position of a PET(Positron Emission Tomography) image. CONSTITUTION: A signal classifying unit(110) classifies an input signal applied through the movement of a bed according to the position of a PET. A first image generator(120) generates a first image set by re-composing the classified input signal. A first image set is a low resolution image set. A parameter measuring unit(130) measures the PSF according to the first image set. A second image generator(140) generates second image information by applying super-resolution algorithm based on the PSF.
Abstract:
PURPOSE: A positron emission tomography and a method for correcting attenuation of a pet image using a magnetic resonance image is provided to perform PET attenuation compensation by using a 3D MR image classified into a CT image and a respiration state. CONSTITUTION: In a positron emission tomography and a method for correcting attenuation of a pet image using a magnetic resonance image, an PET device obtains n 3D MR image and n 3D PET image which are classified into the respiration state of a subject(210). The pet device generates an attenuation compensation map of the n 3D MR image through one CT image(220). The PET device compensates n 3D PET image by using generated attenuation compensation map. The PET device generates one PET image by combining n attenuation compensated 3D PET(240).
Abstract translation:目的:提供正电子发射断层摄影和使用磁共振图像校正宠物图像的衰减的方法,以通过使用分类为CT图像和呼吸状态的3D MR图像来执行PET衰减补偿。 构成:在正电子发射断层摄影和使用磁共振图像校正宠物图像的衰减的方法中,PET装置获得分类为被摄体(210)的呼吸状态的n个3D MR图像和n 3D PET图像。 宠物装置通过一个CT图像(220)生成n个3D MR图像的衰减补偿图。 PET设备通过使用生成的衰减补偿图来补偿n 3D PET图像。 PET装置通过组合n衰减补偿3D PET(240)生成一张PET图像。