Annotated human esophagus scaffold available for registration of segmented neural anatomical-functional mapping of enteric neural circuits.
Study Purpose: The goal of this work is to create an annotated generic human esophagus scaffold for the registration of segmented data obtained by experimental groups.
Data Collection: An anatomically-based 3D scaffold of the human esophagus is created to fit in the entire gastrointestinal tract scaffold. The esophagus scaffold is generated with a configurable central path defined from the proximal end of the upper esophageal sphincter to the distal end of the lower esophageal sphincter. The cervical, thoracic, and abdominal part of the esophagus are annotated with their respective identifiers. The cross axes of the central path provide control of the major and minor radii along the length of the esophagus. Four wall layers (mucosa, submucosa, circular muscle, and longitudinal muscle) are added to the human esophagus scaffold. The outer surface of the scaffold is annotated as the serosa.
Primary Conclusion: None stated
Curator’s Notes
Experimental Design: Not applicable.
Completeness: The study is ongoing and potentially will link to other datasets where the data is used for mapping onto the scaffold.
Subjects & Samples: The generic scaffold is not subject/sample specific but represents an average esophagus of subjects used in other studies.
Primary vs derivative data: The primary folder contains the mapping tool provenance data file describing the software environment in place when this dataset was created. The primary folder also contains the settings files which in conjunction with the software information in the provenance file, will reproduce the output files stored in the derivative folder. The derivative folder contains JSON files that are used to generate a webGL visualization of the scaffold on the SPARC portal, as well as the VTK and STL formats of the scaffold.
Code Availability: Scaffold Mapping Tools
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Lin, M., & Sorby, H. (2024). Publishing Generic Organ Scaffold as a SPARC Dataset v2. https://doi.org/10.17504/protocols.io.6qpvr8q72lmk/v4