Data · dataset · 2020
Data for: Accelerating B-spline Interpolation on GPUs: Application to Medical Image Registration
Listed in Teesside University Research Data Repository
The dataset contains 5 pairs of images (for a total of 10 images).
Description
The images have been preprocessed, segmented and masked. Affine transformation has been applied across pre- and intra-operative pairs, i.e they are ready for non-rigid registration.
There are 3 pairs of images of a liver phantom based on patient specific data. Deformation simulating pneumoperitoneum has been applied to these images. ARTORG centre and Cascination produced the phantom.
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They are x-ray reconstructions (DynaCT). Images 6 - 9 are image pairs of pre- and intra- operative porcine liver MRI scans conducted at Oslo University Hospital - Rikshospitalet, Norway. Intra-operative images have pneumoperitoneum applied to the abdomen.
They are contrast-enhanced MR images (enhanced-T1 high-resolution isotropic volume examination (eTHRIVE)). The dataset was created at and owned by The Intervention Center, Oslo University Hospital - Rikshospitalet, Norway.
Links
Where it is published
- DOI doi.org/10.17632/kj3xcd776k.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Medicine & Health · Social Science
- Inferred from text
- Biomedical engineering 69% · Image 75% · Magnetic resonance imaging 65%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/kj3xcd776k.1 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4003 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:mri | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |