
This is the leaf dataset from on-chip vasculature phantom for ultrasound localization microscopy assessment. The paper is published in PMB, Versatile vasculature chips for ultrasound localization microscopy. The "impara.mat" contains all the parameters for ULM processing. The "01-05" zip files contain all the beamformed IQ data, 200 mat files, each of which includes 400 frames (1 second ultrasound data). Each acquisition is 4 second, denoting the files "01_01_0001-400.mat", "01_01_0401-800.mat", "01_01_0801-1200.mat", and "01_01_1201-1600.mat", for instance. The workflow follows the PALA framework [1]. The "leafchip.dwg" file is in AutoCAD format, as the designed leaf venation pattern. [1] Heiles, B., Chavignon, A., Hingot, V., Lopez, P., Teston, E., & Couture, O. (2022). Performance benchmarking of microbubble-localization algorithms for ultrasound localization microscopy. Nature Biomedical Engineering, 6(5), 605-616.
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