Create README.md

README.md

@@ -0,0 +1,87 @@
+---
+# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
+# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
+{}
+---
+
+# Dataset Card for Dataset Name
+
+This dataset is a collection of colour pointcloud sequences, captured from 
+## Dataset Details
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+
+
+- **Curated by:** Connor Daly, Mechatronics in Medicine, Imperial College London
+
+- **License:** CC BY 4.0 (Creative Commons Attribution)
+
+### Dataset Sources [optional]
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Repository:** [SpineAlign](https://github.com/condog101/SpineAlign)
+- **Paper [optional]:** [Coming soon]
+
+
+
+## Dataset Structure
+
+<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset was created with the motivation of developing markerless tracking systems for spine surgery.
+
+
+[More Information Needed]
+
+### Source Data
+
+The source of the data is lumbar spine surgeries taking place at Humanitas Research Hospital.
+#### Data Collection and Processing
+
+<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
+
+[More Information Needed]
+
+#### Who are the source data producers?
+
+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.
+
+### Annotations [optional]
+
+Further annotations are contained within the CT_DATA folder of the accompanying code repository.
+#### Annotation process
+
+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.
+
+
+#### Who are the annotators?
+
+The annotators are surgeons of Humanitas Research hospital in Milan, alongside researchers at the Hamlyn Centre, of Imperial College London.
+
+#### Personal and Sensitive Information
+
+No personal identifying information is contained in this dataset
+
+
+## Citation [optional]
+
+If using this dataset, please cite the original paper ("Towards Markerless Intraoperative Tracking of Deformable Spine Tissue")
+**BibTeX:**
+
+## Dataset Card Contact
+cd1723@ic.ac.uk