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.


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/bc6b2201-8afc-4624-837c-87ef3966af80/volunteerA.zip"
      }, 
      "checksum": "md5:a1123d28c0fcbb5c016ddfc6fba0b8a8", 
      "bucket": "bc6b2201-8afc-4624-837c-87ef3966af80", 
      "key": "volunteerA.zip", 
      "type": "zip", 
      "size": 566595765
    }, 
    {
      "links": {
        "self": "https://zenodo.org/api/files/bc6b2201-8afc-4624-837c-87ef3966af80/volunteerC.zip"
      }, 
      "checksum": "md5:ca2b0e69752eb66560b967d5d75a296b", 
      "bucket": "bc6b2201-8afc-4624-837c-87ef3966af80", 
      "key": "volunteerC.zip", 
      "type": "zip", 
      "size": 562624207
    }, 
    {
      "links": {
        "self": "https://zenodo.org/api/files/bc6b2201-8afc-4624-837c-87ef3966af80/volunteerB.zip"
      }, 
      "checksum": "md5:edbdb25fd7d07e481b1653d7e9f842f9", 
      "bucket": "bc6b2201-8afc-4624-837c-87ef3966af80", 
      "key": "volunteerB.zip", 
      "type": "zip", 
      "size": 569576618
    }, 
    {
      "links": {
        "self": "https://zenodo.org/api/files/bc6b2201-8afc-4624-837c-87ef3966af80/volunteerD.zip"
      }, 
      "checksum": "md5:8f936fcbef746d775339393b1f9366a7", 
      "bucket": "bc6b2201-8afc-4624-837c-87ef3966af80", 
      "key": "volunteerD.zip", 
      "type": "zip", 
      "size": 615119355
    }
  ], 
  "owners": [
    22607
  ], 
  "doi": "10.5281/zenodo.55345", 
  "stats": {
    "version_unique_downloads": 219.0, 
    "unique_views": 433.0, 
    "views": 479.0, 
    "version_views": 480.0, 
    "unique_downloads": 219.0, 
    "version_unique_views": 434.0, 
    "volume": 1154179447414.0, 
    "version_downloads": 1984.0, 
    "downloads": 1984.0, 
    "version_volume": 1154179447414.0
  }, 
  "links": {
    "doi": "https://doi.org/10.5281/zenodo.55345", 
    "latest_html": "https://zenodo.org/record/55345", 
    "bucket": "https://zenodo.org/api/files/bc6b2201-8afc-4624-837c-87ef3966af80", 
    "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.55345.svg", 
    "html": "https://zenodo.org/record/55345", 
    "latest": "https://zenodo.org/api/records/55345"
  }, 
  "created": "2016-06-15T17:34:17+00:00", 
  "updated": "2020-01-24T19:24:39.074767+00:00", 
  "conceptrecid": "636809", 
  "revision": 10, 
  "id": 55345, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.5281/zenodo.55345", 
    "description": "<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>", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "title": "Data for publication: Autoadaptive motion modelling for MR-based respiratory motion estimation", 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "636809"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "55345"
          }
        }
      ]
    }, 
    "keywords": [
      "MRI data, 2D, slice data, motion modelling, manifold alignment"
    ], 
    "publication_date": "2016-06-10", 
    "creators": [
      {
        "affiliation": "Division of Imaging Sciences and Biomedical Engineering, King\u2019s College London, London, UK", 
        "name": "Baumgartner, Christian F."
      }, 
      {
        "affiliation": "Division of Imaging Sciences and Biomedical Engineering, King\u2019s College London, London, UK", 
        "name": "Kolbitsch, Christoph"
      }, 
      {
        "affiliation": "Centre for Medical Image Computing, University College London, London, UK", 
        "name": "McClelland, Jamie R."
      }, 
      {
        "affiliation": "Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK", 
        "name": "Rueckert, Daniel"
      }, 
      {
        "affiliation": "Division of Imaging Sciences and Biomedical Engineering, King\u2019s College London, London, UK", 
        "name": "King, Andrew P."
      }
    ], 
    "access_right": "open", 
    "resource_type": {
      "type": "dataset", 
      "title": "Dataset"
    }, 
    "related_identifiers": [
      {
        "scheme": "doi", 
        "identifier": "10.1016/j.media.2016.06.005", 
        "relation": "isCitedBy"
      }
    ]
  }
}
480
1,984
views
downloads
All versions This version
Views 480479
Downloads 1,9841,984
Data volume 1.2 TB1.2 TB
Unique views 434433
Unique downloads 219219

Share

Cite as