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IQ-UltraRecon: Demodulated IQ ultrasound dataset of human hand and arm tissue for deep learning-based reconstruction
Imrus Salehin1,2, Nazmul Huda Badhon1, Md Tomal Ahmed Sajib1
1Department of Computer Science and Engineering, Daffodil International University, Dhaka, 1216, Bangladesh.
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.
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