{"id": "package:0e03780b-9a8f-4822-a171-3e1d207210de", "name": "10926_20190307_145033.xml", "self_uri": "https://services.scicrunch.io/sparc/drs/v1/objects/0e03780b-9a8f-4822-a171-3e1d207210de", "size": 6559069, "created_time": "2020-01-22T03:24:33,975517Z", "updated_time": "2022-12-13T15:43:03,032359Z", "version": "1", "mime_type": "text/xml", "checksums": [{"checksum": "1d428851c3482b9cc52645d89718a3ab2459d8595b6c413bae4fc9f149a48109", "type": "sha256"}], "access_methods": [{"type": "s3", "access_url": {"url": "s3://prd-sparc-discover50-use1/107/files/derivative/sub-10926/sam-10926_20190307_145033/10926_20190307_145033.xml"}, "region": "us-east-1"}], "dataset": {"id": "107", "doi": "DOI:10.26275/jl5t-xfgu", "title": "Micro Computed Tomography (Micro-CT) imaging of iodine-stained rat stomachs from full to empty", "description": "Micro Computed Tomography (Micro-CT) images of the stomachs stained with an aqueous solution of I2/KI. Micro-CT images were saved in DICOM format. Stomachs were scanned both before and after flushing of stomach contents.", "abstract": "As part of the SPARC research, we are interested in understanding how the dimensions of the rat stomach vary as a function of feeding and elapsed time since feeding. Our measurements enable the generation of a 4D model of the rat stomach integrating anatomical details with 2D maps of neurite distributions and other anatomical distributions. This model can then be compared with the results of functional behavior mapping or used to predict preferred stimulation locations for gastric electrical stimulation experiments.  In order to provide contrast in micro-CT the stomachs were stained with an aqueous solution of I2/KI. Micro-CT images were saved in DICOM format. Stomachs were scanned both before and after flushing of stomach contents. 3D Slicer was used to quantify both total stomach volume and the volumes of subcompartments of the stomach. A subset was segmented using Neurolucida 360 software to provide the elements needed to create a stomach scaffold and those XML files are included.  The data set includes DICOM and NRRD (\"nearly raw raster data\") files (in tar.bz2 directories, 4.1 GB), 34 XML files (Neurolucida segmentation - about 200 MB total) and a .xlsx spreadsheet detailing volume measurements from 3D Slicer segmentation."}}