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BIONAND","award":["B1-2022_14"],"award-info":[{"award-number":["B1-2022_14"]}]},{"name":"Universidad de M\u00e1laga and the Instituto de Investigaci\u00f3n Biom\u00e9dica de M\u00e1laga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND","award":["PUNI-003_2023"],"award-info":[{"award-number":["PUNI-003_2023"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Axioms"],"abstract":"<jats:p>This paper investigates the distribution characteristics of Fourier, discrete cosine, and discrete sine transform coefficients in T1 MRI images. This paper reveals their adherence to Benford\u2019s law, characterized by a logarithmic distribution of first digits. The impact of Rician noise on the first digit distribution is examined, which causes deviations from the ideal distribution. A novel methodology is proposed for noise level estimation, employing metrics such as the Bhattacharyya distance, Kullback\u2013Leibler divergence, total variation distance, Hellinger distance, and Jensen\u2013Shannon divergence. Supervised learning techniques utilize these metrics as regressors. Evaluations on MRI scans from several datasets coming from a wide range of different acquisition devices of 1.5 T and 3 T, comprising hundreds of patients, validate the adherence of noiseless T1 MRI frequency domain coefficients to Benford\u2019s law. Through rigorous experimentation, our methodology has demonstrated competitiveness with established noise estimation techniques, even surpassing them in numerous conducted experiments. This research empirically supports the application of Benford\u2019s law in transforms, offering a reliable approach for noise estimation in denoising algorithms and advancing image quality assessment.<\/jats:p>","DOI":"10.3390\/axioms12121117","type":"journal-article","created":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T08:55:16Z","timestamp":1702457716000},"page":"1117","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4693-0954","authenticated-orcid":false,"given":"Rosa","family":"Maza-Quiroga","sequence":"first","affiliation":[{"name":"Department of Computer Languages and Computer Science, Universidad de M\u00e1laga, Bulevar Louis Pasteur, 35, 29071 M\u00e1laga, Spain"},{"name":"Instituto de Investigaci\u00f3n Biom\u00e9dica de M\u00e1laga y Plataforma en Nanomedicina-IBIMA Plataforma Bionand, 29590 Malaga, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6519-1213","authenticated-orcid":false,"given":"Karl","family":"Thurnhofer-Hemsi","sequence":"additional","affiliation":[{"name":"Department of Computer Languages and Computer Science, Universidad de M\u00e1laga, Bulevar Louis Pasteur, 35, 29071 M\u00e1laga, Spain"},{"name":"Instituto de Investigaci\u00f3n Biom\u00e9dica de M\u00e1laga y Plataforma en Nanomedicina-IBIMA Plataforma Bionand, 29590 Malaga, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0172-1585","authenticated-orcid":false,"given":"Domingo","family":"L\u00f3pez-Rodr\u00edguez","sequence":"additional","affiliation":[{"name":"Instituto de Investigaci\u00f3n Biom\u00e9dica de M\u00e1laga y Plataforma en Nanomedicina-IBIMA Plataforma Bionand, 29590 Malaga, Spain"},{"name":"Department of Applied Mathematics, Universidad de M\u00e1laga, Bulevar Louis Pasteur, 35, 29071 M\u00e1laga, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8231-5687","authenticated-orcid":false,"given":"Ezequiel","family":"L\u00f3pez-Rubio","sequence":"additional","affiliation":[{"name":"Department of Computer Languages and Computer Science, Universidad de M\u00e1laga, Bulevar Louis Pasteur, 35, 29071 M\u00e1laga, Spain"},{"name":"Instituto de Investigaci\u00f3n Biom\u00e9dica de M\u00e1laga y Plataforma en Nanomedicina-IBIMA Plataforma Bionand, 29590 Malaga, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Alymani, M., Alhazmi, M.H., Almarhabi, A., Alhazmi, H., Samarkandi, A., and Yao, Y.D. 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