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A deep look into radiomics
Radiomics is a process that allows the extraction and analysis of quantitative data from medical images. It is an evolving field of research with many potential applications in medical imaging. The purpose of this review is to offer a deep look into radiomics, from the basis, deeply discussed from a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Milan
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520512/ https://www.ncbi.nlm.nih.gov/pubmed/34213702 http://dx.doi.org/10.1007/s11547-021-01389-x |
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author | Scapicchio, Camilla Gabelloni, Michela Barucci, Andrea Cioni, Dania Saba, Luca Neri, Emanuele |
author_facet | Scapicchio, Camilla Gabelloni, Michela Barucci, Andrea Cioni, Dania Saba, Luca Neri, Emanuele |
author_sort | Scapicchio, Camilla |
collection | PubMed |
description | Radiomics is a process that allows the extraction and analysis of quantitative data from medical images. It is an evolving field of research with many potential applications in medical imaging. The purpose of this review is to offer a deep look into radiomics, from the basis, deeply discussed from a technical point of view, through the main applications, to the challenges that have to be addressed to translate this process in clinical practice. A detailed description of the main techniques used in the various steps of radiomics workflow, which includes image acquisition, reconstruction, pre-processing, segmentation, features extraction and analysis, is here proposed, as well as an overview of the main promising results achieved in various applications, focusing on the limitations and possible solutions for clinical implementation. Only an in-depth and comprehensive description of current methods and applications can suggest the potential power of radiomics in fostering precision medicine and thus the care of patients, especially in cancer detection, diagnosis, prognosis and treatment evaluation. |
format | Online Article Text |
id | pubmed-8520512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Milan |
record_format | MEDLINE/PubMed |
spelling | pubmed-85205122021-10-29 A deep look into radiomics Scapicchio, Camilla Gabelloni, Michela Barucci, Andrea Cioni, Dania Saba, Luca Neri, Emanuele Radiol Med Computer Application Radiomics is a process that allows the extraction and analysis of quantitative data from medical images. It is an evolving field of research with many potential applications in medical imaging. The purpose of this review is to offer a deep look into radiomics, from the basis, deeply discussed from a technical point of view, through the main applications, to the challenges that have to be addressed to translate this process in clinical practice. A detailed description of the main techniques used in the various steps of radiomics workflow, which includes image acquisition, reconstruction, pre-processing, segmentation, features extraction and analysis, is here proposed, as well as an overview of the main promising results achieved in various applications, focusing on the limitations and possible solutions for clinical implementation. Only an in-depth and comprehensive description of current methods and applications can suggest the potential power of radiomics in fostering precision medicine and thus the care of patients, especially in cancer detection, diagnosis, prognosis and treatment evaluation. Springer Milan 2021-07-02 2021 /pmc/articles/PMC8520512/ /pubmed/34213702 http://dx.doi.org/10.1007/s11547-021-01389-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Computer Application Scapicchio, Camilla Gabelloni, Michela Barucci, Andrea Cioni, Dania Saba, Luca Neri, Emanuele A deep look into radiomics |
title | A deep look into radiomics |
title_full | A deep look into radiomics |
title_fullStr | A deep look into radiomics |
title_full_unstemmed | A deep look into radiomics |
title_short | A deep look into radiomics |
title_sort | deep look into radiomics |
topic | Computer Application |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520512/ https://www.ncbi.nlm.nih.gov/pubmed/34213702 http://dx.doi.org/10.1007/s11547-021-01389-x |
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