NFFA-Europe - MRI Dataset

DOI

The dataset comprises Magnetic Resonance Imaging (MRI) scans of seven 5mm tubes containing Copper Sulfate (CuSO4) solutions with concentrations ranging from 0 to 100 mM. The scans (i.e. multiple Series of the same Study) were performed on June 22, 2023 at the Karlsruher Institute of Technology using a Bruker BioSpin MRI system (Biospec 152/11 model).

Acquisition: The acquisition was carried out by employing a Fast Low Angle Shot (FLASH) MRI protocol named Bruker:FLASH. A 2D acquisition type was utilized with a magnetic field strength of approximately 15.27 Tesla. Geometry: The scans were conducted in a rectilinear geometry with a 100% sampling rate and a 100% phase field of view. The in-plane phase encoding direction was along the column, with the k-space traversal being rectilinear. Spatial Resolution: The dataset has a spatial resolution of 0.1 mm, both in-plane and through-plane (slice thickness). Image Characteristics: The images are monochrome with a resolution of 300x300 pixels, and each pixel's value is presented in a 16-bit format. The images are categorized as original, primary, non-parallel, and have a magnitude complex image component. Coil Configuration: Multi-coil configuration was used for both reception (RF RES 650 1H 05) and transmission (RF RES 650 1H 05), manufactured by BMRIDE. Timing Parameters: The repetition was varied for each Series. Software Version: The acquisition was conducted using the software version Acquisition PV-360.3.3 and ParaVision 360.3.3. Sample Identification: The samples were identified as Phantom to collect a test data set for different Proof of Concept studies for imaging data processing. Sample Positioning: The samples were positioned head-first-supine (HFS) in the MRI system. Anatomical Orientation: Biped anatomical orientation was employed, covering the entire body region as per the given anatomic region sequence.

Identifier
DOI https://doi.org/10.23728/b2share.557d41bb71fe4fed9a821e0abef21d71
Source https://b2share.eudat.eu/records/557d41bb71fe4fed9a821e0abef21d71
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/557d41bb71fe4fed9a821e0abef21d71
Provenance
Creator Blumenröhr, Nicolas; Aversa, Rossella; MacKinnon, Neil
Publisher EUDAT B2SHARE
Publication Year 2023
Rights Creative Commons Attribution (CC-BY); info:eu-repo/semantics/openAccess
OpenAccess true
Contact nicolas.blumenroehr(at)kit.edu
Representation
Format dcm
Size 21.9 MB; 119 files
Discipline 4.1.12 → Computer sciences → Computer graphics; 4.1.12.1 → Computer graphics → Image processing; 4.1.16.3 → Information science → Database