Dataset --- "Quantitative Dixon-Based PDFF and R2* Estimation and Optimization on MR-Simulation and MR-Linac Devices for the Pelvis and Head and Neck: A Prospective R-IDEAL Stage 0-2a Study"

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Authors: Lucas B. McCullum, Natalie West, Kayeong Shin, Brian Taylor, Alexander Augustyn, Omran Saifi, Sara Thrower, Jihong Wang, Shalin Shah, Seungtaek Choi, Chidinma Pamela Anakwenze, Clifton D. Fuller
+1 more Warren N. Floyd
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Abstract

Dataset for the paper: "Quantitative Dixon-Based PDFF and R2* Estimation and Optimization on MR-Simulation and MR-Linac Devices for the Pelvis and Head and Neck: A Prospective R-IDEAL Stage 0-2a Study".The data for each machine is given by its respectively named folder at the top level. Within each machine folder will be several folders. "phantom" will have the data for the five repetitions as well as the segmentation for the vials of the phantom. There may be other folders for healthy volunteers and patients which will be named as such with varying levels of data for each. Note, R2s = R2*.The code for the analysis in the paper is at: https://github.com/Lucas-Mc/quant-dixon_R-IDEAL_0-2a

Fields of Study & Subjects

Advanced MRI Techniques and Applications Advanced Radiotherapy Techniques MRI in cancer diagnosis

Publication details

Journal / source
Figshare
Publication date
11 March 2026
Language
EN
Document type
Dataset