Company Filing History:
Years Active: 2008-2011
Title: Innovations by Sung Tak Chung
Introduction
Sung Tak Chung is an accomplished inventor based in Yongin-si, South Korea. He has made significant contributions to the field of 3D image reconstruction, holding two patents that showcase his innovative methods and apparatuses.
Latest Patents
One of his latest patents is titled "Method and apparatus for ultra fast symmetry and SIMD based projection-back projection for 3D PET image reconstruction." This invention provides a comprehensive method for reconstructing 3D images. The process involves detecting a plurality of lines of response (LORs) emitted from an object and transforming these LORs into first sinogram data. The method further includes back-projecting the first sinogram data with various projection angles to produce image data for the object. Additionally, it projects the produced image data with the same projection angles to transform it into second sinogram data. The back-projecting process fills pixels of the image plane for each projection angle with the first sinogram data while rotating the coordinate axis of the image plane to generate the image data. The projecting phase involves rotating the image data in the opposite direction before projecting it with the corresponding angles. Notably, both projecting and back-projecting utilize symmetry properties in coordinate space.
Career Highlights
Sung Tak Chung has worked with notable institutions, including Gachon University of Medicine & Science and the Science Industry-Academic Cooperation Foundation in Ke Hong. His work in these organizations has allowed him to further develop his expertise in the field of medical imaging and technology.
Collaborations
He has collaborated with esteemed colleagues such as Zang Hee Cho and Young Bo Kim, contributing to advancements in their shared field of research.
Conclusion
Sung Tak Chung's innovative work in 3D image reconstruction exemplifies the impact of his inventions on medical imaging technology. His patents reflect a commitment to enhancing the efficiency and accuracy of image reconstruction methods.
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