open access
Radiomics and artificial Intelligence for PET imaging analysis
, 12, 1
Affiliations- MSC Memorial Cancer Center and Institute of Oncology, ul Wybrzeze AK, 15, 44-101 Gliwice, Poland
- Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland, Poland
open access
Abstract
In recent years, processing of the imaging signal derived from CT, MR or positron emission has proven to be able to predict outcome parameters in cancer patients. The processing techniques of the signal constitute the discipline of radiomics. The quantitative analysis of medical images outperform the information that can be obtained through traditional visual analysis. The recognition of neoplasm molecular and genetic characteristics in a non-invasive way, based on routine radiological examinations, potentially allow complete tumor profiling and subsequent treatment customization at practically zero costs. This process is further boosted with the availability of increased computing power and development of artificial intelligence approaches.
Abstract
In recent years, processing of the imaging signal derived from CT, MR or positron emission has proven to be able to predict outcome parameters in cancer patients. The processing techniques of the signal constitute the discipline of radiomics. The quantitative analysis of medical images outperform the information that can be obtained through traditional visual analysis. The recognition of neoplasm molecular and genetic characteristics in a non-invasive way, based on routine radiological examinations, potentially allow complete tumor profiling and subsequent treatment customization at practically zero costs. This process is further boosted with the availability of increased computing power and development of artificial intelligence approaches.
Keywords
Radiomics; Positron emission tomography; Artificial Intelligence
About this articleTitle
Radiomics and artificial Intelligence for PET imaging analysis
Journal
Issue
Article type
Review paper
Pages
36-39
Published online
2020-01-31
Page views
1116
Article views/downloads
890
DOI
10.5603/NMR.2020.0005
Pubmed
Bibliographic record
Nucl. Med. Rev 2020;23(1):36-39.
Keywords
Radiomics
Positron emission tomography
Artificial Intelligence
Authors
Andrea d'Amico
Damian Borys
Izabela Gorczewska
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