Label Image Ground Truth Data for Lumbar Spine MRI Dataset

Published: 3 April 2019| Version 2 | DOI: 10.17632/zbf6b4pttk.2
Sud Sudirman, Ala Al Kafri,
, Wasfi Al-Rashdan, Mohammad Bashtawi, Mohammed Al-Jumaily


This dataset contains the raw label images and ground truth label images of axial view slices of lumbar spine MRI used to train SegNet to detect lumbar spinal stenosis. The four labelled Regions of Interest namely 1) Intervertebral Disc (IVD), 2) Posterior Element (PE), 3) Thecal Sac (TS) and 4) the Area between Anterior and Posterior (AAP) vertebrae elements. The labelling process was carried out by five labellers under supervision of an expert radiologist using the T1-weighted axial-view MRI slice of the last three IVDs. Analysis on the quality of the developed ground truth label images is provided in our paper. You can download and read the research papers detailing our methodology on boundary delineation for lumbar spinal stenosis detection using the URLs provided in the Related Links at the end of this page. You can also check out other dataset and source code related to this program from that section. We kindly request you to cite our papers when using our data or program in your research.



Universitas Multimedia Nusantara, Liverpool John Moores University


Medical Imaging, Lumbar Spine, Medical Magnetic Resonance Imaging