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All Journal International Journal of Reconfigurable and Embedded Systems (IJRES) TELKOMNIKA (Telecommunication Computing Electronics and Control) CommIT (Communication & Information Technology) Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Organisasi Dan Manajemen Al Furqan: Jurnal Ilmu Al Quran dan Tafsir Buletin Ilmiah Sarjana Teknik Elektro Journal of Applied Data Sciences Aktual : Jurnal Pengabdian Kepada Masyarakat Journal of Educational Technology and Learning Creativity International Journal of Advances in Artificial Intelligence and Machine Learning Khazanah Hukum Indonesian Journal of Machine Learning and Intelligent Systems
Deshinta Arrova Dewi
INTI International University
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Journal : commit communication

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Noise Reduction in Brain Magnetic Resonance Imaging Using a Convolutional Autoencoder I Gede Susrama Mas Diyasa; Pangestu Sandya Etniko Siagian; Eva Yulia Puspaningrum; Wan Suryani Wan Awang; Sayyidah Humairah; Deshinta Arrova Dewi
CommIT (Communication and Information Technology) Journal Vol. 20 No. 1 (2026): CommIT Journal (in press)
Publisher : Bina Nusantara University

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Abstract

In clinical practice, precise and high-quality brain Magnetic Resonance Imaging (MRI) is pivotal for diagnosing and formulating effective treatment strategies. The research objective is to assess the viability of employing a Convolutional Autoencoders (CAE) for the mitigating noise in brain MRI images. The focus is brain MRI images and the various types of noise (Salt and Pepper, Speckle, and Gaussian noise) that typically corrupt images and may lead to inaccuracies in diagnosis. The research also applies methods to artificially generate these noise types to represent real-world scenarios. Specifically, the dataset of brain MRI images is collected, pre-processed, and artificially exposed to various noise types to simulate the real-world conditions after the CAE model is used to reconstruct the corrupted images. The CAE is assessed for its high efficiency and efficacy using Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR). The results indicate that the CAE is very effective in removing noise, particularly Salt and Pepper noise. The model achieves a PSNR of 27.0687 dB and an MSE of 0.00216246 at the lowest noise level. The model also demonstrates stability under varying levels of Speckle noise. Although performance degrades as noise increases, the model continues to demonstrate potential for further refinement. The research furthers the CAE’s analytical potential by assessing its denoising capabilities across various noise types and levels. The research adds value by outlining recommendations to the medical imaging community while identifying the need for future research on different classifications of noise and advanced regularization methods.
Co-Authors Abd Muin Abhijit Banubakode ACENG RUYANI Adamu Abu Bakar Ibrahim Afrizal Mayub Agus Sulaiman Ahmad Bahrudin Alfarid Hendro Yuwono Aliyu Sabo Anggy Pradifta Junfithranaa Asro Asro Ayusta Lukita Wardani Aziz, As’ad Shidqy Cecep Soleh Kurniawan Che Mohd Alif Nazmi Daeng Rahmatullah Dani Durahman Darul Wiyono Deni Supardi Hambali Dhendra Marutho Eko Risdianto Ema Ambiapuri Eva Yulia Puspaningrum Fahmizal Fahmizal Fithrotul Irda Amaliah Giraldo Stevanus Hadi Almohab Hajjar Ayu Cahyani Kuswardhani Harprith Kaur Rajinder Singh Harsha J. Sarode Henderi . I Gede Susrama Mas Diyasa I Gede Susrama Mas Diyasa Jeyarani Periasamy Joselin Santos JosephNg Poh Soon Junaedi Rahmat Lazfihma Lazfihma Liton Chandra Paul M. Esad Kuloğlu M. Lutfi Firdaus M. Said Hasibuan M. Tohir Mahesh Shankarrao Patil Malathy Batumalay Malathy Batumalay Margareta Valencia Suci Handayani Mashal AlQudah Md. Abdul Kader Jilani Md. Ashraful Haque Md. Sharif Ahammed Misinem Misinem Mohammad Idhom Mohd Zaki Zakaria Muhammad Islam Muhammad Nasir Muhammad ‘Izzuddin Al-Qassam Muljono, - Nafi Isbadrianingtyas Narinderjit Singh Sawaran Singh Noel Lomerio Nur Aini Parwitasari Nurul Shaira Binti Bujang Nutan Patil Onny Setyawati Pangestu Sandya Etniko Siagian Panji Adam Agus Putra Prakash Tukaram Patil Pramudita, Yoga Dwitya Prismahardi Aji Riyantoko Raden Arief Nugroho Rajani Balakrishnan Rajermani Thinakaran Rajermani Thinakaran Redwan A. Ananta Ressti Nurfitriani Reza Rahmadian Ruri Suko Basuki Sayyidah Humairah Shabana Habib Suhardini, Eni Dasuki Sultan Hammad Alshammari Tri Basuki Kurniawan Tri Basuki Kurniawan Tri Basuki Kurniawan Tri Basuki Kurniawan Ugochi Okengwu Vijayakumar Varadarajan Vugar Hacimahmud Abdullayev Wahyudi Agustiono Wahyudi Setiawan Wan Suryani Wan Awang Widi Aribowo Yo Ceng Giap Zakka Ugih Rizqi