Dataset Open Access

Data for publication: Autoadaptive motion modelling for MR-based respiratory motion estimation

Baumgartner, Christian F.; Kolbitsch, Christoph; McClelland, Jamie R.; Rueckert, Daniel; King, Andrew P.


Citation Style Language JSON Export

{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.55345", 
  "author": [
    {
      "given": "Christian F.", 
      "family": "Baumgartner"
    }, 
    {
      "given": "Christoph", 
      "family": "Kolbitsch"
    }, 
    {
      "given": "Jamie R.", 
      "family": "McClelland"
    }, 
    {
      "given": "Daniel", 
      "family": "Rueckert"
    }, 
    {
      "given": "Andrew P.", 
      "family": "King"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2016, 
        6, 
        10
      ]
    ]
  }, 
  "abstract": "<p>This repository contains four&nbsp;T1-weighted&nbsp;2D MR slice datasets&nbsp;from multiple slice positions covering the entire thorax during free breathing and breath holds.&nbsp;&nbsp;The data was used to evaluate our novel autoadaptive respiratory motion model which we proposed in [1]. In particular, the datasets contain the following:</p>\n\n<ol>\n\t<li>Acquisition of all sagittal slice positions covering the thorax&nbsp;and one coronal slice position acquired during a breath hold.</li>\n\t<li>Results of registration between adjacent sagittal slice positions [control point displacements (cpp) and displacement fields (dfs)]</li>\n\t<li>40 dynamic acquisitions of each slice position also present in the breath-hold acquired during free breathing.&nbsp;</li>\n\t<li>Results of registration of the dynamic acquisitions to the respective&nbsp;breath-holds slices (cpp&#39;s and dfs&#39;s).&nbsp;</li>\n</ol>\n\n<p>The data is divided into 4 zip files, each containing the data of one volunteer. The folder structure for each is as follows:</p>\n\n<blockquote>\n<p>|-- bhs (breath hold data)<br />\n| &nbsp; |-- images (images)<br />\n| &nbsp; | &nbsp; |-- cor<br />\n| &nbsp; | &nbsp; `-- sag<br />\n| &nbsp; `-- mfs_slpos2slpos (registration results)<br />\n| &nbsp; &nbsp; &nbsp; `-- sag<br />\n`-- dyn (dynamic free-breathing data)<br />\n&nbsp; &nbsp; |-- images (images)<br />\n&nbsp; &nbsp; | &nbsp; |-- cor<br />\n&nbsp; &nbsp; | &nbsp; `-- sag<br />\n&nbsp; &nbsp; `-- mfs_tpos2tpos (registration results)<br />\n&nbsp; &nbsp; &nbsp; &nbsp; |-- cor<br />\n&nbsp; &nbsp; &nbsp; &nbsp; `-- sag</p>\n</blockquote>\n\n<p>Please, see our publication [1] for details on the acquisition sequence and registration&nbsp;used.&nbsp;</p>\n\n<p>--</p>\n\n<p>[1]: CF Baumgartner, C Kolbitsch, JR McClelland, D Rueckert, AP King, <em>Autoadaptive motion modelling for MR-based respiratory motion estimation</em>, Medical Image Analysis (2016),&nbsp;http://dx.doi.org/10.1016/j.media.2016.06.005</p>", 
  "title": "Data for publication: Autoadaptive motion modelling for MR-based respiratory motion estimation", 
  "type": "dataset", 
  "id": "55345"
}
530
1,994
views
downloads
All versions This version
Views 530529
Downloads 1,9941,994
Data volume 1.2 TB1.2 TB
Unique views 480479
Unique downloads 228228

Share

Cite as