Head and Neck QSM Repeatability Data

Overview

Project: Optimising an acquisition protocol and reconstruction pipeline for quantitative susceptibility mapping in the head and neck.

Dates: 2018 - 2024

Funding: Cancer Research UK Multidisciplinary Award #24348

This is a dataset of 3D multi-echo GRE data for analyzing the repeatability of QSM reconstruction algorithms in the head and neck (HN) region. It consists of data from 10 healthy subjects (detailed in subjects.tsv), each of whom was scanned a total of six times, across two sessions.

The dataset also contains, for each subject and session, a brain mask (obtained using FSL BET), and a segmentation file which contains ROI segmentations for brain and HN ROIs (obtained using FSL FIRST and manual segmentation). The key for the segmentations can be found in dseg.tsv

Access

This data is covered by a CC-BY license (https://creativecommons.org/licenses/by/4.0/). You are free to share this data and adapt it for any purpose, but you must attribute this dataset.

If you use this dataset in any publications, please cite:

• Karsa A, Punwani S, Shmueli K. An optimized and highly repeatable MRI acquisition and processing pipeline for quantitative susceptibility mapping in the head-and-neck region. Magn. Reson. Med. 2020; 84: 3206-3222. https://doi.org/10.1002/mrm.28377
• Cherukara MT, Shmueli K. Comparing repeatability metrics for quantitative susceptibility mapping in the head and neck. UNDER REVIEW 2024.

For queries, please contact Matthew Cherukara (m.cherukara@ucl.ac.uk) or Karin Shmueli (k.shmueli@ucl.ac.uk)