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2 results for “computational breast modeling”
Patient breast MRI images and computational breast phantom data for research in patient-derived realistic breast modelling
<p>The data is comprised of two parts: 1) patient DICOM MRI images and 2) 3D matrix of a computational breast phantom.</p> <ol> <li>The DICOM images are anonymised patient breast MRI images of a female patient diagnosed with invasive ductal carcinoma. The obtaining of the patients’ DICOM images is approved by the Ethics Committee of Medical University of Varna. The acquisition was performed with GE Signa HDxt MRI scanner. The images are from a T1-weigthed Axial multi-phase VIBRANT (3-phase) sequence and with voxel size of 0.7 mm x 0.7 mm x 0.8 mm. Contrast agent is present. The image set can be opened with any standard DICOM reader.</li> <li>The computational breast phantom is derived from the above mentioned dataset. The phantom is in the form of a 3D matrix saved as a MATLAB data file (.mat file). Each voxel has an assigned Hounsfield Unit value depending on its classification: air = 0, adipose tissue = -152, glandular tissue = 42, tumour = 64, skin = 108. The data file can be opened with MATLAB or Octave.</li> </ol>
Exploratory Research on Constructing a Computational Biological Model Based on NGS for MRD After Breast Cancer Surgery
ClinicalTrials.gov study NCT06595966. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.