A Novel Radiomics-Based Tumor Volume Segmentation Algorithm for Lung Tumors in FDG-PET/CT after 3D Motion Correction—A Technical Feasibility and Stability Study

A Novel Radiomics-Based Tumor Volume Segmentation Algorithm for Lung Tumors in FDG-PET/CT after 3D Motion Correction—A Technical Feasibility and Stability Study

Positron emission tomography (PET) provides important additional information when applied in radiation therapy treatment planning. However, the optimal way to define tumors in PET images is still undetermined. As radiomics features are gaining more and more importance in PET image interpretation as...

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Bibliographic Details
Main Authors: Lena Bundschuh, Vesna Prokic, Matthias Guckenberger, Stephanie Tanadini-Lang, Markus Essler, Ralph A. Bundschuh
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Diagnostics
Subjects:
lung cancer
positron emission tomography (PET)
radiomics
tumor volume segmentation
textural features
radiation therapy treatment planning
Online Access:https://www.mdpi.com/2075-4418/12/3/576

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https://www.mdpi.com/2075-4418/12/3/576

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