Lumbar Spine MRI Dataset
Sudirman, Sud and Al Kafri, Ala and Natalia, Friska and Meidia, Hira and Afriliana, Nunik and Al-Rashdan, Wasfi and Bashtawi, Mohammad and Al-Jumaily, Mohammed

@article{sudirman2019lumbar,
title= {Lumbar Spine MRI Dataset},
doi= {10.17632/K57FR854J2.2},
journal= {Mendeley Data},
author= {Sudirman, Sud and Al Kafri, Ala and Natalia, Friska and Meidia, Hira and Afriliana, Nunik and Al-Rashdan, Wasfi and Bashtawi, Mohammad and Al-Jumaily, Mohammed},
year= {2019},
url= {https://data.mendeley.com/datasets/k57fr854j2/2},
abstract= {Anonymised clinical MRI studies from 515 patients with symptomatic back pain, with sagittal and/or axial slices of the lowest three vertebrae and the lowest three intervertebral discs.

## Contents

* 48,345 MRI slices
* Mostly 320 x 320 pixels, 12-bit pixel precision
* Axial slices are 4 mm thick
* Collected by Universitas Multimedia Nusantara and Liverpool John Moores University

## Related papers

* Al Kafri, A., Sudirman, S., Hussain, A., Al-Jumeily, D., et al. *Boundary Delineation of MRI Images for Lumbar Spinal Stenosis Detection Through Semantic Segmentation Using Deep Neural Networks.* IEEE Access, 2019. [https://doi.org/10.1109/ACCESS.2019.2908002](https://doi.org/10.1109/ACCESS.2019.2908002)
* The Mendeley record also links two IEEE Xplore articles on lumbar spinal stenosis detection: [8622977](https://ieeexplore.ieee.org/document/8622977) and [8678637](https://ieeexplore.ieee.org/document/8678637)

## Source

Mendeley Data, DOI 10.17632/k57fr854j2.2: [https://data.mendeley.com/datasets/k57fr854j2/2](https://data.mendeley.com/datasets/k57fr854j2/2). License: CC BY 4.0.

**Reference:** Sudirman et al., Lumbar Spine MRI Dataset. 2019. https://doi.org/10.17632/K57FR854J2.2},
keywords= {mri, Medical imaging, lumbar spine, spinal stenosis, back pain},
terms= {},
license= {https://creativecommons.org/licenses/by/4.0/},
superseded= {}
}