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ENHANCE.PET 1.6k: a whole-/total-body [18F]FDG-PET/CT dataset with CT-derived segmentations

Title: ENHANCE.PET 1.6k: a whole-/total-body [18F]FDG-PET/CT dataset with CT-derived segmentations
Authors: Daria Ferrara; Manuel Pires; Sebastian Gutschmayer; Josef Yu; Yasser Gaber Abdelhafez; Elisabetta Abenavoli; Ramsey Badawi; Abhijit J. Chaudhari; Moon S. Chen; Simon R. Cherry; Armin Frille; Barbara K. Geist; Stefan Gruenert; Marcus Hacker; Swen Hesse; Teresa Kerkhoff; Pia Linder; Johanna Pappisch; Smilla Pusitz; Osama A. Raslan; Ivo Rausch; Siba P. Raychaudhuri; Osama Sabri; Fabian Schmidt; Roberto Sciagrà; Benjamin Spencer; Guobao Wang; Hubert Wirtz; Thomas Beyer; Lalith Kumar Shiyam Sundar
Publisher Information: Science Data Bank
Publication Year: 2026
Subject Terms: PET/CT imaging; anatomical segmentations; whole-body
Description: We present a large whole-body and total-body curated dataset of PET/CT studies, consisting of 1,683 PET/CT images and the corresponding CT-derived segmentations of 130 target regions,including abdominal organs, muscles, bones, cardiac subregions, vessels, adipose tissue, and skeletal muscle around the third lumbar vertebra. This multi-center dataset includes images from individuals without overt disease and patients with a range of malignant and inflammatory pathologies, including arthritis, lymphoma, and melanoma, as well as cancers of the lung, head-neck, and genito-urinary tract.different pathologies (lung cancer, lymphoma, and melanoma). Data are provided in anonymized NIfTI format.A JSON file containing the complete list of segmentations and their corresponding intensities within the multi-class files is available.In addition to the imaging data, non-imaging information is provided in two spreadsheet files. The CT-details.xlsx file contains details on the CT acquisition parameters (e.g., PET/CT system manufacturer and model, kVp, filter type, convolutional kernel, axial pixel size, slice thickness, and focal spot size) for each participant. The PT-details.xlsx file provides the corresponding demographic information (e.g., clinical indication, sex, age, weight, height) as well as PET acquisition parameters (e.g., injected activity, acquisition date and time, radioactivity injection details, image units, slope, intercept, system model and manufacturer).
Document Type: dataset
Language: English
Relation: http://www.doi.org/10.21203/rs.3.rs-7169062/v1
DOI: 10.57760/sciencedb.34150
Availability: https://doi.org/10.57760/sciencedb.34150
Rights: PUBLIC ; https://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.91BABC04
Database: BASE