A wavelet transform-based photon starvation artifacts suppression algorithm in CT imaging
| Autor: | Baosheng Li, Yang Chen, Baodong Liu, Cunfeng Wei, Shilei Hao, Jin Liu, Jian Zhu |
|---|---|
| Přispěvatelé: | Southeast University [Jiangsu], Anhui Polytechnic University, Centre de Recherche en Information Biomédicale sino-français (CRIBS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Chinese Academy of Sciences [Beijing] (UCAS), Shandong University, State's Key Project of Research and Development Plan [2017YFA0104302, 2017YFC0109202], National Natural Science Foundation National Natural Science Foundation of China (NSFC) [81530060, 61871117], Science and Technology Program of Guangdong [2018B030333001], National Key RandD Program of China [2017YFF0107201], CAS Interdisciplinary Innovation Team [JCTD-2019-02], Université de Rennes (UR)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Anisotropic diffusion
Streak Wavelet Analysis Image processing 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Wavelet Optics streak artifact Image Processing Computer-Assisted Humans Radiology Nuclear Medicine and imaging Projection (set theory) wavelet transform Physics Photons Radiological and Ultrasound Technology Noise (signal processing) business.industry Phantoms Imaging Wavelet transform anisotropic diffusion Filter (signal processing) photon starvation artifact suppression 030220 oncology & carcinogenesis [SDV.IB]Life Sciences [q-bio]/Bioengineering business Artifacts Tomography X-Ray Computed Algorithms CT |
| Zdroj: | Physics in Medicine and Biology Physics in Medicine and Biology, IOP Publishing, 2020, 65 (23), ⟨10.1088/1361-6560/abb171⟩ Physics in Medicine and Biology, 2020, 65 (23), ⟨10.1088/1361-6560/abb171⟩ |
| ISSN: | 0031-9155 1361-6560 |
| DOI: | 10.1088/1361-6560/abb171⟩ |
| Popis: | International audience; In computed tomography, high attenuation occurs when x-rays pass through a dense region or a long path in the scanning object. In this case, only limited photons reach the detector, which causes photon starvation artifacts. The artifacts usually appear as streaks along the directions with high attenuation. It might lower the discrimination of minor structures and lead to misdiagnosis. Applying a local filter to the projection data adaptively is a common solution, however, if the parameters of projection-based filter are not well selected, new artifacts and noise might appear in the final image. In this paper, a post image processing technique was developed to suppress the photon starvation streak artifacts. Based on the directional characteristics of streaks, a semi-adaptive anisotropic diffusion filter was applied to the high frequency sub-bands after wavelet transformation (WASA). Qualitative and quantitative experiments were performed on phantom data and clinical data to prove the effectiveness of this method for photon starvation artifact suppression. |
| Databáze: | OpenAIRE |
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