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All Journal International Journal of Electrical and Computer Engineering Natural Science: Journal of Science and Technology JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Sistemasi: Jurnal Sistem Informasi JURNAL ILMIAH MATEMATIKA DAN TERAPAN Communication in Biomathematical Sciences Fraktal: Jurnal Matematika dan Pendidikan Matematika
Agus Indra Jaya
Tadulako University
Computer Science & IT Electrical & Electronics Engineering Mathematics Social Sciences

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Journal : International Journal of Electrical and Computer Engineering

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Low-dose computed tomography image denoising using graph wavelet transform with optimal base Setiawan, Iwan; Hidayat, Rachmat; Najar, Abdul Mahatir; Jaya, Agus Indra; Rosiyadi, Didi
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp1696-1708

Abstract

Noise in electronic components of computed tomography (CT) detectors behaves like a virus that infects visual quality of CT scans and might distort clinical diagnosis. Modern CT detector technology incorporates high-quality electronic components in conjunction with signal and image processing to ensure optimal image quality while retaining benign doses of x-rays. In this study, a new strategy in signal and image processing directions is proposed by finding the most optimal wavelet base for denoising low-dose CT scan data. The process begins by selecting the appropriate wavelet bases for CT image denoising, followed by a wavelet decomposition, thresholding, and reconstruction. Other methods, such as graph wavelet and learning-based, are used to assess the consistency of the outcomes. The wavelet base of biorthogonal 5.5 achieves the highest optimum performance for CT image denoising. Meanwhile, the Daubechies wavelet base is inconsistent and performs poorly compared to the optimum base. This research highlights the importance of wavelet properties such as orthogonality, regularity, and the number of vanishing moments in selecting an appropriate wavelet basis for noise reduction in CT images.
Co-Authors Abda Abda Abdul Mahatir Najar Agusman Sahari Ahmad, M T Akram, Akram Ardilawati, Ni Made Asran, Erni Endang Susilawati Fadilah, R Fadjryani, Fadjryani Fadly, M Fatmayoni, Raisan Febrianti, Ratih Gusni, Gusni Hajar Husnah, Siti I Wati Ica Murwanti Indra Wati Ismawati, Nurul Iwan Setiawan Juni Wijayanti Puspita Maasawet, R R Marwan Marwan Maulidyani Abu Molanu, Irmawati Nasria Nacong Natalia, Heinny Nirmalasari, Ririn Nuranisa, Nuranisa Nurul Ikrima Nurul Ismawati Nyamun, Suwito S Puragombo, Rista RACHMAT HIDAYAT Ratianigsih, Rina Resnawati Rina Ratianingsih Rosiyadi, Didi Setiawaty, R Siti Helmyati Wahyuni, Ni Luh Sri