IQ-UltraRecon: Demodulated IQ ultrasound dataset of human hand and arm tissue for deep learning-based reconstruction

This dataset presents demodulated in-phase <i>(I)</i> and quadrature <i>(Q)</i> 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>(I and Q)</i> 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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Publication Details

Journal
Data in Brief
Published
2025-08-22
DOI
https://doi.org/10.1016/j.dib.2025.112001
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

IQ-UltraRecon: Demodulated IQ ultrasound dataset of human hand and arm tissue for deep learning-based reconstruction

Nazmun Nessa Moon, Mohd. Saifuzzaman, Imrus Salehin, Nazmul Huda Badhon et al.
Data in Brief
Cell Image Analysis Techniques
article

IQ-UltraRecon: Demodulated IQ ultrasound dataset of human hand and arm tissue for deep learning-based reconstruction

Nazmun Nessa Moon, Mohd. Saifuzzaman, Imrus Salehin, Nazmul Huda Badhon, Md Tomal Ahmed Sajib
article en

Abstract

This dataset presents demodulated in-phase <i>(I)</i> and quadrature <i>(Q)</i> 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>(I and Q)</i> 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.

Data in BriefVol. 62
Daffodil International University (BD), Pusan National University (KR)
Openalex Percentile: Top 84%
Cell Image Analysis Techniques
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