{"doi":"10.7910/dvn/8jvlae","title":"3D Numerical Breast Phantoms and Ring-Array USCT measurements (3 rings)","abstract":"&lt;h3&gt;Dataset Summary&lt;/h3&gt; &lt;p&gt; This is the companion dataset for the manuscript by Fu Li, Umberto Villa, Neb Duric, and Mark A. Anastasio titled &lt;em&gt;\"A forward model incorporating elevation-focused transducer properties for 3D full-waveform inversion in ultrasound computed tomography\"&lt;/em&gt;. IEEE UFFC, &lt;a href=\"https://doi.org/10.1109/TUFFC.2023.3313549\" target=\"_blank\"&gt; link&lt;/a&gt; (2023). &lt;/p&gt; &lt;p&gt; The dataset comprises two types of thin-slab 3D numerical breast phantoms (NBPs) and their corresponding ring-array ultrasound computed tomography (USCT) simulated measurement data. &lt;/p&gt; Two representative ACR BI-RADS breast composition types are selected: &lt;li&gt;&lt;strong&gt;B:&lt;/strong&gt; Scattered areas of fibroglandular density&lt;/li&gt; &lt;li&gt;&lt;strong&gt;C:&lt;/strong&gt; Heterogeneously dense breast&lt;/li&gt; Each NBP contains maps of acoustic properties (speed of sound, acoustic attenuation, and density). The corresponding ring-array USCT measurement data were simulated using the elevation-focused transducer described in the accompanying paper. Wave propagation simulations were conducted in lossy heterogeneous media using k-wave. &lt;/p&gt; &lt;hr&gt; &lt;h3&gt;Dataset Structure&lt;/h3&gt; &lt;p&gt;The dataset is organized into three folders:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Dataset folder for phantom type &lt;strong&gt;B&lt;/strong&gt;&lt;/li&gt; &lt;li&gt;Dataset folder for phantom type &lt;strong&gt;C&lt;/strong&gt;&lt;/li&gt; &lt;li&gt;The &lt;strong&gt;imaging_system&lt;/strong&gt; folder, which contains details about the 3D imaging system, including the excitation source, transducer coordinates, and lens thickness.&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;B:/C:&lt;/strong&gt;&lt;/p&gt; &lt;p&gt; This dataset folder houses three sets of ring-array data, corresponding to acquisitions at three distinct elevation locations. As described in the manuscript, these locations are: ring -1 at z=-1.8mm, ring 0 at z=0mm, and ring 1 at z=1.8mm. The employed NBP and the associated simulated measurement data for each ring are provided. Specifically, the data files include &lt;/p&gt; &lt;ul&gt; &lt;li&gt; &lt;em&gt;phantom.mat&lt;/em&gt;: This .mat file contains three acoustic media: &lt;ul&gt; &lt;li&gt;sos: Speed of sound map (m/s) with dimensions [1280,1280,194] (x-,y-,z-direction) and a 0.2 mm pixel size. Data type is float32.&lt;/li&gt; &lt;li&gt;aa: Acoustic attenuation map (Np/m/MHz) with dimensions [1280,1280,194] (x-,y-,z-direction) and a 0.2 mm pixel size. Data type is float32.&lt;/li&gt; &lt;li&gt;density: Density map (kg/mm³) with dimensions [1280,1280,194] (x-,y-,z-direction) and a 0.2 mm pixel size. Data type is float32.&lt;/li&gt; &lt;/ul&gt; Note: These data are used to generate the corresponding acoustic media for each ring simulation by executing the Matlab script &lt;i&gt;generate_slab.m&lt;/i&gt;. See the description of &lt;i&gt;generate_slab.m&lt;/i&gt; for more details. &lt;p&gt; &lt;/li&gt; &lt;li&gt; &lt;em&gt;data_ring_{i}.h5&lt;/em&gt;: Measurement data of the i-th ring (for i = -1, 0, 1) . Measurement is stored with an hdf5 key that matches the transducer index. This is a two-dimensional array of size [1024,4200], where rows denote the receiver index and columns indicate the time sample. The sampling frequency is 25MHz. &lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;imaging_system:&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;em&gt;source300.mat&lt;/em&gt;: Time profile of the excitation pulse. Comprises 300 time samples with a sampling frequency of 25MHz.&lt;/li&gt; &lt;li&gt;&lt;em&gt;receiver_locations_1024.mat&lt;/em&gt;: XY coordinates (in mm) of the location for each receiver transducer in the imaging plane. Data type is float32 with an array size of [2x1024].&lt;/li&gt; &lt;li&gt;&lt;em&gt;emitter_locations_128.mat&lt;/em&gt;: XY coordinates (in mm) of the location for each emitter transducer in the imaging plane. Data type i","journal":"Harvard Dataverse","year":2023,"id":402132,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":22.178386323199504,"corpus_rank":9377,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.9476,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":668001,"name":"Umberto Villa","orcid":"0000-0002-5142-2559","position":1,"is_corresponding":false},{"id":1179516,"name":"Li Fu","orcid":"0000-0001-6228-4289","position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T01:20:23.920156Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}