Quantitation of oncologic image features for radiomic analyses in PET Journal Article
| Authors: | Williams, T. L.; Gonen, M.; Wray, R.; Do, R. K. G.; Simpson, A. L. |
| Article Title: | Quantitation of oncologic image features for radiomic analyses in PET |
| Abstract: | Radiomics is an emerging and exciting field of study involving the extraction of many quantitative features from radiographic images. Positron emission tomography (PET) images are used in cancer diagnosis and staging. Utilizing radiomics on PET images can better quantify the spatial relationships between image voxels and generate more consistent and accurate results for diagnosis, prognosis, treatment, etc. This chapter gives the general steps a researcher would take to extract PET radiomic features from medical images and properly develop models to implement. © The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2024. |
| Keywords: | controlled study; treatment response; positron emission tomography; analysis; biological marker; cohort analysis; diagnostic imaging; oncology; standardization; algorithm; positron-emission tomography; image processing, computer-assisted; image processing; pet; fluorodeoxyglucose; histogram; receiver operating characteristic; feature extraction; procedures; machine learning; learning algorithm; human; feature selection; imaging features; deep learning; radiomics; positron emission tomography-computed tomography; mathematical transformation |
| Journal Title: | Methods in Molecular Biology |
| Volume: | 2729 |
| ISSN: | 1064-3745 |
| Publisher: | Humana Press Inc |
| Date Published: | 2024-01-01 |
| Start Page: | 409 |
| End Page: | 421 |
| Language: | English |
| DOI: | 10.1007/978-1-0716-3499-8_23 |
| PROVIDER: | scopus |
| PUBMED: | 38006509 |
| DOI/URL: | |
| Notes: | Chapter 23 in "Positron Emission Tomography: Methods and Protocols" (ISBN: 978-1-0716-3498-1) -- Source: Scopus |
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