PICMUS is part of the IEEE IUS 2016, Tours, France.
The goal of this challenge is to provide as fair as possible means to evaluate and compare image reconstruction methods in the specific frame of plane wave imaging. Image quality is evaluated from a set of steered plane waves with different angles.
To this aim, the following workflow has to be respected:
x_axis | Vector containing the x-axis coordinates (expressed in the real world coordinate system) of the grid nodes on which the envelope image has been reconstructed |
z_axis | Vector containing the z-axis coordinates (expressed in the real world coordinate system) of the grid nodes on which the envelope image has been reconstructed |
real_part | Matrix (2D+slice) containing the real part of the reconstructed envelope images. The third dimension allows to store images from different category (e.g. reconstruction of image from 1, 11, or 75 steered plane waves |
imag_part | Matrix (2D+slice) containing the imaginary part of the reconstructed envelope images. The third dimension allows to store images from different category (e.g. reconstruction of image from 1, 11, or 75 steered plane waves |
number_plane_waves | Vector containing the number of plane waves used for the reconstruction of each images provided through real_part and imag_part field. The size of this vector should corresponds to the third dimension of the real_part and imag_part matrices. |
Name dataset (".hdf5") | Name reconstructed image (".hdf5") |
resolution_distorsion_simu_dataset_rf (or_iq) | resolution_simulation_result |
resolution_distorsion_expe_dataset_rf (or_iq) | resolution_experimental_result |
contrast_speckle_simu_dataset_rf (or_iq) | contrast_simulation_result |
contrast_speckle_expe_dataset_rf (or_iq) | contrast_experimental_result |
Finally, it is worth to mention that a participant can compete in one or several categories without any restriction. However, the exact same algorithm has to be used for all the categories.