Using the Sonification for Hardly Detectable Details in Medical Images

The inverse sonification problem is investigated in this article in order to detect hardly capturing details in a medical image. The direct problem consists in converting the image data into sound signals by a transformation which involves three steps - data, acoustics parameters and sound represent...

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Autores principales: Chiroiu, Veturia, Munteanu, Ligia, Ioan, Rodica, Dragne, Ciprian, Majercsik, Luciana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881407/
https://www.ncbi.nlm.nih.gov/pubmed/31776381
http://dx.doi.org/10.1038/s41598-019-54080-7
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author Chiroiu, Veturia
Munteanu, Ligia
Ioan, Rodica
Dragne, Ciprian
Majercsik, Luciana
author_facet Chiroiu, Veturia
Munteanu, Ligia
Ioan, Rodica
Dragne, Ciprian
Majercsik, Luciana
author_sort Chiroiu, Veturia
collection PubMed
description The inverse sonification problem is investigated in this article in order to detect hardly capturing details in a medical image. The direct problem consists in converting the image data into sound signals by a transformation which involves three steps - data, acoustics parameters and sound representations. The inverse problem is reversing back the sound signals into image data. By using the known sonification operator, the inverse approach does not bring any gain in the sonified medical imaging. The replication of the image already known does not help the diagnosis and surgical operation. In order to bring gains in the medical imaging, a new sonification operator is advanced in this paper, by using the Burgers equation of sound propagation. The sonified medical imaging is useful in interpreting the medical imaging that, however powerful they may be, are never good enough to aid tumour surgery. The inverse approach is exercised on several medical images used to surgical operations.
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spelling pubmed-68814072019-12-06 Using the Sonification for Hardly Detectable Details in Medical Images Chiroiu, Veturia Munteanu, Ligia Ioan, Rodica Dragne, Ciprian Majercsik, Luciana Sci Rep Article The inverse sonification problem is investigated in this article in order to detect hardly capturing details in a medical image. The direct problem consists in converting the image data into sound signals by a transformation which involves three steps - data, acoustics parameters and sound representations. The inverse problem is reversing back the sound signals into image data. By using the known sonification operator, the inverse approach does not bring any gain in the sonified medical imaging. The replication of the image already known does not help the diagnosis and surgical operation. In order to bring gains in the medical imaging, a new sonification operator is advanced in this paper, by using the Burgers equation of sound propagation. The sonified medical imaging is useful in interpreting the medical imaging that, however powerful they may be, are never good enough to aid tumour surgery. The inverse approach is exercised on several medical images used to surgical operations. Nature Publishing Group UK 2019-11-27 /pmc/articles/PMC6881407/ /pubmed/31776381 http://dx.doi.org/10.1038/s41598-019-54080-7 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Chiroiu, Veturia
Munteanu, Ligia
Ioan, Rodica
Dragne, Ciprian
Majercsik, Luciana
Using the Sonification for Hardly Detectable Details in Medical Images
title Using the Sonification for Hardly Detectable Details in Medical Images
title_full Using the Sonification for Hardly Detectable Details in Medical Images
title_fullStr Using the Sonification for Hardly Detectable Details in Medical Images
title_full_unstemmed Using the Sonification for Hardly Detectable Details in Medical Images
title_short Using the Sonification for Hardly Detectable Details in Medical Images
title_sort using the sonification for hardly detectable details in medical images
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881407/
https://www.ncbi.nlm.nih.gov/pubmed/31776381
http://dx.doi.org/10.1038/s41598-019-54080-7
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