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Meas."],"published-print":{"date-parts":[[2024,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    <jats:italic>Objective.<\/jats:italic>\n                    Noisy measurements frequently cause noisy and inaccurate images in impedance imaging. No post-processing technique exists to calculate the propagation of measurement noise and use this to suppress noise in the image. The objectives of this work were (1) to develop a post-processing method for noise-based correction (NBC) in impedance tomography, (2) to test whether NBC improves image quality in electrical impedance tomography (EIT), (3) to determine whether it is preferable to use correlated or uncorrelated noise for NBC, (4) to test whether NBC works with\n                    <jats:italic>in vivo<\/jats:italic>\n                    data and (5) to test whether NBC is stable across model and perturbation geometries.\n                    <jats:italic>Approach.<\/jats:italic>\n                    EIT was performed\n                    <jats:italic>in silico<\/jats:italic>\n                    in a 2D homogeneous circular domain and an anatomically realistic, heterogeneous 3D human head domain for four perturbations and 25 noise levels in each case. This was validated by performing EIT for four perturbations in a circular, saline tank in 2D as well as a human head-shaped saline tank with a realistic skull-like layer in 3D. Images were assessed on the error in the weighted spatial variance (WSV) with respect to the true, target image. The effect of NBC was also tested for\n                    <jats:italic>in vivo<\/jats:italic>\n                    EIT data of lung ventilation in a human thorax and cortical activity in a rat brain.\n                    <jats:italic>Main results.<\/jats:italic>\n                    On visual inspection, NBC maintained or increased image quality for all perturbations and noise levels in 2D and 3D, both experimentally and\n                    <jats:italic>in silico<\/jats:italic>\n                    . Analysis of the WSV showed that NBC significantly improved the WSV in nearly all cases. When the WSV was inferior with NBC, this was either visually imperceptible or a transformation between noisy reconstructions. For\n                    <jats:italic>in vivo<\/jats:italic>\n                    data, NBC improved image quality in all cases and preserved the expected shape of the reconstructed perturbation.\n                    <jats:italic>Significance.<\/jats:italic>\n                    In practice, uncorrelated NBC performed better than correlated NBC and is recommended as a general-use post-processing technique in EIT.\n                  <\/jats:p>","DOI":"10.1088\/1361-6579\/ad4e93","type":"journal-article","created":{"date-parts":[[2024,5,21]],"date-time":"2024-05-21T18:43:31Z","timestamp":1716317011000},"page":"065002","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Noise-based correction for electrical impedance tomography"],"prefix":"10.1088","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7848-2319","authenticated-orcid":true,"given":"Kai","family":"Mason","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Florencia","family":"Maurino-Alperovich","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2755-6124","authenticated-orcid":true,"given":"David","family":"Holder","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2924-5680","authenticated-orcid":true,"given":"Kirill","family":"Aristovich","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2024,6,5]]},"reference":[{"key":"pmeaad4e93bib1","doi-asserted-by":"publisher","first-page":"S35","DOI":"10.1088\/0967-3334\/30\/6\/S03","article-title":"GREIT: a unified approach to 2D linear EIT reconstruction of lung images","volume":"30","author":"Adler","year":"2009","journal-title":"Physiol. 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Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltd","name":"copyright_information","label":"Copyright Information"},{"value":"2023-12-11","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-05-21","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-06-05","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}