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    Embedded Photographic Tomography Using Raspberry Pi
    (2022-01-01)
    Janthraprasert, Rujipas
    ;
    Pintavirooj, Chuchart
    A computerized tomography scan (CT scan) is a device that uses X-ray machines and computers that will compute the data gathered from patients to create cross-sectional images. A CT scan can be used to view the inside without cutting the body open, such as blood vessels and different organs. However, most CT scan is mainly located at the hospital because it is very expensive and must be supervised at all times. So, it is hard for students to learn and understand the mechanic behind the actual CT scan. In this paper, we will build a simulated CT that can be used for educational purposes by creating an embedded photographic tomography using raspberry pi. The proposed system is capable of successfully creating a 3D model of the test object.
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    Embedded photographic tomography
    (2018-05-30)
    Fong-On, Chutima
    ;
    Visitsattapongse, Sarinporn
    ;
    Pintavirooj, C.
    Tomographic imaging is a technique for reconnaissance of a cross-section of an inspected object without destruction and taken at a prior-known angle. Input data that were known as the projection are gathered by repeatedly capturing image through the object in a number of viewpoints. In this paper, we designed the embedded photographic tomography that can be used for a basic purpose. A number of digital cameras are attached on the rotating to capture a series of images around the object. This mimics a cone-beam projection. Here, its application is focused on the 3D modeling. In order to design the embedded system, Raspberry Pi is used as the main microcontroller that use for digital image processing in acquisition system. The Processing system will use projection data for reconstruction and 3D modeling process.
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    Simulated CT scanner for educational purpose
    (2017-02-21)
    Juhong, Aniwat
    ;
    Pintavirooj, Chuchart
    Computed Tomography is a technique to reconstruct an image of trans-Axial slab of the object from a series of x-ray radiographs taken at a prior-known angle. Sequences of x-ray radiographs are served as two-dimensional projection data for a 3D tomography. The most popular Feldkamp Algorithm which is based on Filtered Backprojection (FBP) approaches has shown to perform well for 3D reconstruction. Conventional x-ray computed tomography was implemented on a c-Arm x-ray apparatus where the x-ray tube and detector is capable of rotating to capture radiograph at any specific angle. In this paper, we designed the simulated computed tomography that can be used for educational purpose. A number of digital cameras are attached on the rotating gantry to capture a series of image around the object. This mimics a conebeam projection for computed tomography. In order to design the embedded system, Raspberry Pi is used as the main microcontroller which acts as data acquisition system. All projection data are sent to cloud server which is later download to PC for further processing.
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    3D modeling from radiograph with Conebeam geometry
    (2004-12-01)
    Kawikitwitcha, S.
    ;
    Pintavirooj, C.
    ;
    Tosranon, P.
    ;
    Kiriratnikbm, T.
    ;
    Anuntaseree, S.
    In order to render 3D model of the bone, the stack of cross-sectional images must be reconstructed from a series of X-ray radiographs, served as the projections. In the case where the distance between x-ray source and detector is not infinite, image reconstruction from projection based on parallel-beam geometry provides an error in the cross-sectional image. In such case, image reconstruction from projection based on conebeam geometry must be exercised instead. In this paper, the Simultaneous Algebraic Reconstruction Technique (SART Conebeam) is engaged for reconstructing tomograms in case of limited views of radiographs. Compared with Feldkamp Conebeam technique, the SART Conebeam theoretically gives the better quality of image for the same limited set of projections Volume rendering technique together with the shading effects is performed on a stack of cross-sectional image to realize the data into 3D visualization. The algorithms are applied to the practical situation where a series of x-ray radiographs of human femur bone are collected from a C-Arm x-ray apparatus. The 3D modeling of such bone is performed on the cross-sectional images reconstructed with SART conebeam. The results are very satisfactory. © 2004IEEE.