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| | # Dataset Card for Dataset Name |
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| | This dataset is a collection of colour pointcloud sequences, captured from |
| | ## Dataset Details |
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| | ### Dataset Description |
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| | <!-- Provide a longer summary of what this dataset is. --> |
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| | - **Curated by:** Connor Daly, Mechatronics in Medicine, Imperial College London |
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| | - **License:** CC BY 4.0 (Creative Commons Attribution) |
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| | ### Dataset Sources [optional] |
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| | <!-- Provide the basic links for the dataset. --> |
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| | - **Repository:** [SpineAlign](https://github.com/condog101/SpineAlign) |
| | - **Paper [optional]:** [Coming soon] |
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| | ## Dataset Structure |
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| | The test sequences as used in our MICCAI paper were: [3wdFkKgv_20241015_164758, 9hY9tyUS_20241016_140027, 4e5qD5n5_20241023_090919, 4rCfpioZ_20241129_093024] |
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| | [More Information Needed] |
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| | ## Dataset Creation |
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| | ### Curation Rationale |
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| | This dataset was created with the motivation of developing markerless tracking systems for spine surgery. |
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| | [More Information Needed] |
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| | ### Source Data |
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| | The source of the data is lumbar spine surgeries taking place at Humanitas Research Hospital. |
| | #### Data Collection and Processing |
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| | <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
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| | [More Information Needed] |
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| | #### Who are the source data producers? |
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| | The dataset was produced from the caseload of several neuro-surgeons working at Humanitas Research Hopsital (Rozzano). The cases are lumbar surgeries. |
| | The .pcd files were captured by an Azure Kinect camera. |
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| | ### Annotations [optional] |
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| | Further annotations are contained within the CT_DATA folder of the accompanying code repository. |
| | #### Annotation process |
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| | The annotations were created in a multi-step process, first coarsely by the operating surgeon. |
| | This was used to roughly align a preoperative CT/MRI mesh with a reference frame for a particular sequence. |
| | We then use the SpineAlign process, described in the paper, to iteratively deform and transform the mesh to better align with |
| | the reference frame. Then points in the sequence are labelled positive (1) if within 50 mm of the registered mesh, otherwise negative (0). |
| | Following the reference frame alignment, this is repeated for other frames, using ICP to keep the deformed mesh aligned. |
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| | #### Who are the annotators? |
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| | The annotators are surgeons of Humanitas Research hospital in Milan, alongside researchers at the Hamlyn Centre, of Imperial College London. |
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| | #### Personal and Sensitive Information |
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| | No personal identifying information is contained in this dataset |
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| | ## Citation [optional] |
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| | If using this dataset, please cite the original paper ("Towards Markerless Intraoperative Tracking of Deformable Spine Tissue") |
| | **BibTeX:** |
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| | ## Dataset Card Contact |
| | cd1723@ic.ac.uk |
