Replication Data for: Motion robust radiomic features in 18F-FDG PET/MRI imaging of lung cancer

Dataset

DOI

These data contain 834 extracted radiomic features from 17 non-small-cell lung cancer patients, each undergoing a 20-minute 18F-fluorodeoxyglucose positron emission tomography (PET)/magnetic resonance imaging (MRI) acquisition. Features from three PET image reconstructions were extracted: 1) free-breathing PET (PET_100%), 2) end-expiration PET (PET_40%) and 3) MRI-based motion corrected PET (PET_MoCo).

PyRadiomics, 3.0

Identifier
DOI	https://doi.org/10.18710/2JTIOT
Metadata Access	https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/2JTIOT

Provenance
Creator	Kuttner, Samuel
Publisher	DataverseNO
Contributor	Samuel Kuttner; UiT The Arctic University of Norway; Sundset, Rune; Axelsson, Jan; Jenssen, Robert; Paulsen, Erna-Elise
Publication Year	2021
Funding Reference	Northern Norway Regional Health Authority HNF1349-17
Rights	CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess	true
Contact	Samuel Kuttner (UiT The Arctic University of Norway)

Representation
Resource Type	Measured data from medical images; Dataset
Format	text/plain; text/tab-separated-values; application/pdf
Size	42271; 266882; 268478; 265855; 714981
Version	1.0
Discipline	Life Sciences; Medicine; Natural Sciences; Physics
Spatial Coverage	Tromsø