A distance-driven deconvolution method for CT image-resolution improvement

The purpose of this research is to achieve high spatial resolution in CT (computed tomography) images without hardware modification. The main idea is to consider geometry optics model, which can provide the approximate blurring PSF (point spread function) kernel, which varies according to the distan...

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Bibliographic Details
Published inJournal of the Korean Physical Society Vol. 69; no. 12; pp. 1830 - 1833
Main Authors Han, Seokmin, Choi, Kihwan, Yoo, Sang Wook, Yi, Jonghyon
Format Journal Article
LanguageEnglish
Published Seoul The Korean Physical Society 01.12.2016
Springer Nature B.V
한국물리학회
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Summary:The purpose of this research is to achieve high spatial resolution in CT (computed tomography) images without hardware modification. The main idea is to consider geometry optics model, which can provide the approximate blurring PSF (point spread function) kernel, which varies according to the distance from the X-ray tube to each point. The FOV (field of view) is divided into several band regions based on the distance from the X-ray source, and each region is deconvolved with a different deconvolution kernel. As the number of subbands increases, the overshoot of the MTF (modulation transfer function) curve increases first. After that, the overshoot begins to decrease while still showing a larger MTF than the normal FBP (filtered backprojection). The case of five subbands seems to show balanced performance between MTF boost and overshoot minimization. It can be seen that, as the number of subbands increases, the noise (STD) can be seen to show a tendency to decrease. The results shows that spatial resolution in CT images can be improved without using high-resolution detectors or focal spot wobbling. The proposed algorithm shows promising results in improving spatial resolution while avoiding excessive noise boost.
Bibliography:G704-000411.2016.69.12.011
ISSN:0374-4884
1976-8524
DOI:10.3938/jkps.69.1830