Record Details

3D Acoustic Numerical Breast Phantoms

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title 3D Acoustic Numerical Breast Phantoms
 
Identifier https://doi.org/10.7910/DVN/KBYQQ7
 
Creator Li, Fu
Villa, Umberto
Park, Seonyeong
Anastasio, Mark
 
Publisher Harvard Dataverse
 
Description Companion dataset of the manuscript:


Fu Li, Umberto Villa, Seonyeong Park, Mark A. Anastasio. Three-dimensional stochastic numerical breast phantoms for enabling virtual imaging trials of ultrasound computed tomography. Arxiv preprint 2106.02744 (2021)



This dataset includes a collection of three-dimensional numerical breast phantoms (NBPs) for use in ultrasound computed tomography studies. The anatomical structures of these NBPs were obtained by use of tools from the Virtual Imaging Clinical Trial for Regulatory Evaluation (VICTRE) project. More details on the modification and extension of the VICTRE NBPs for use in USCT studies can be found in the accompanying paper.



Four 3D NBPs are included in this dataset, one for each of the four ACR BI-RADS breast composition types:

  • A. The breast is almost entirely fatty

  • B. There are scattered areas of fibroglandular density

  • C. The breasts is heterogeneously dense

  • D. The breast is extremely dense



Each NBP contains 3D maps of tissue labels, speed of sound, attenuation,
and density. Those data are saved as Matlab binary files (extension .mat), which can be easily read using the load function in MATLAB.



The dataset comprises four sub-directories, one for each NBP.
The files contained in each sub-directory are described below. Here, {breast_id} is a 6 digit identifier for the NBP (corresponding to the random seed used to generate the anatomical structures) followed by a single character (denoting the breast composition type).




  • {breast_id}_label.mat: 3D anatomical structures map with a resolution of 0.1 mm. Each voxel indicates a type of tissue type and is stored as unit8 data type. The tissue types corresponding to each label are:


    • 0: Water;

    • 1: Fat;

    • 2: Skin;

    • 29:Glandular;

    • 88: Ligament;

    • 200: Lesion.






  • {breast_id}_info.mat: Information about NBP: random seed, number of voxels, voxel size (mm), and breast type (A-D).




  • {breast_id}_sos.mat 3D speed of sound map (mm/μs). Data is stored as float32 data type.




  • {breast_id}_aa.mat: 3D acoustic attenuation map (Np/m/MHzy). Data is stored as float32 data type.




  • {breast_id}_density.mat: 3D density map (kg/mm3). Data is stored as float32 data type.






An utility Matlab function (gen_vtk.m) is also provided to convert our NBPs to vtk format for 3D visualization in Paraview.






Warning: This is a large dataset. Please check out our download script written in python.
 
Subject Medicine, Health and Life Sciences
Other
Medical imaging
Ultrasound computed tomography
Numerical phantom
 
Contributor Villa, Umberto