@article{SALEHIN2025112001,
title = {IQ-UltraRecon: Demodulated IQ ultrasound dataset of human hand and arm tissue for deep learning-based reconstruction},
journal = {Data in Brief},
volume = {62},
pages = {112001},
year = {2025},
issn = {2352-3409},
doi = {https://doi.org/10.1016/j.dib.2025.112001},
url = {https://www.sciencedirect.com/science/article/pii/S2352340925007255},
author = {Imrus Salehin and Nazmul Huda Badhon and Md Tomal Ahmed Sajib and Mohd Saifuzzaman and Nazmun Nessa Moon},
keywords = {Demodulated IQ data, Ultrasound imaging, In-phase quadrature, Signal-level dataset, Verasonics, Hand-arm ultrasound, Deep learning, Image reconstruction},
abstract = {This dataset presents demodulated in-phase (I) and quadrature (Q) ultrasound data collected from the human hand and forearm using a Verasonics Vantage 64LE system with an L11–5v linear array transducer. A total of 48 .mat files have been acquired from healthy adult subjects, yielding 4800 data samples. The dataset comprises both single-angle and multi-angle acquisitions, indicated in the filenames, and includes raw IQ data prior to B-mode image formation. Multi-angle files capture sequences with shape (400, 2, 256, 256), representing two channels (I and Q) across multiple insonification angles. Single-angle files provide spatially consistent data for baseline comparison. This dataset supports research in ultrasound signal analysis, beamforming alternatives, and deep learning-based image reconstruction. All data are stored in MATLAB format, are anonymized, and are publicly available through Mendeley Data.}
}