Bactrian camel neuroimaging: magnetic resonance, T1 weighted (set 1): axial view


These files contain magnetic resonance data collected using the specified relaxation time constant. Each set of volumetric data has been resampled in axial, coronal, and sagittal views and saved as three sets of DICOM data. Only image files containing visible brain tissue have been saved and included in this set. Overall, the MR studies show clear white-­gray differentiation and accurate anatomical representation. Magnetic resonance data was collected at Brown University on a Siemens 3 Tesla PRISMA scanner. The following conditions apply to this data: Expansion: 3D Magnetization Prepared Rapid Acquisition GRE (MP RAGE). Number of Excitations (NEX): 1. Transfer Syntax: Little Endian Explicit. Slice Thickness: 600.00 μm. L­-R Angle: -86°. S-­I Angle: 4°. Scan Mode: t1_mprage 1 NEX. Number of Slices: 192.
Imaging modalities: Magnetic resonance
View: Axial view


Walsh, Edward, Collins, Scott, Leary, Owen, et al., "Bactrian camel neuroimaging: magnetic resonance, T1 weighted (set 1): axial view" (2016). Brown University Open Data Collection, Bactrian Camel Brain Imaging. Brown Digital Repository. Brown University Library.


Has Parts:

  • README for Magnetic resonance studies
    • Type: Pdf
    • Order: 1
    • View
  • README for T1 weighted camel brain (Set 1)
    • Type: Pdf
    • Order: 2
    • View


  • Brown University Open … Thumbnail

    This digital archive contains open and publicly-funded data sets created by Brown University faculty and student researchers. Increasingly, academic societies, publishers, and funders are requiring that protocols, data sets, metadata, and code underlying published research be retained and preserved, their …

  • Bactrian Camel Brain … Thumbnail

    This case study is the result of collaboration between neuroanthropology researchers at George Washington University and neuroimaging researchers at Rhode Island Hospital & Brown University and serves as a means of exploring the efficacy of several medical imaging modalities in …