Point-of-Care Echocardiography Dataset for Left Ventricular Segmentation in Pulmonary Tuberculosis Cohorts (PocketLV)
Scopazzini, M
; Iijima, L; Ruseckaite, N; Sesia, D; Kaura, A; Mayet, J; Shah, A
and Yap, CH
(2025).
Point-of-Care Echocardiography Dataset for Left Ventricular Segmentation in Pulmonary Tuberculosis Cohorts (PocketLV).
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
10.17037/DATA.00004569.
PocketLV is a multi-view POCUS echocardiography dataset with left-ventricular segmentations, covering patients with varied cardiac health, where image quality reflects real-world acquisition by a minimally-trained sonographer. This dataset contains images slices derived from cine loops and DICOM images collected during point-of-care echocardiography examinations.
Keywords
Point-of-care echocardiography; Tuberculosis; Sub-Saharan Africa| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset DICOM images |
| Description of data capture | Images were collected during the TB-HEART study, a cross-sectional longitudinal study exploring cardiac pathology in adults with pulmonary tuberculosis. All participants provided written informed consent. POCUS echocardiograms were collected using a Clarius HD3 handheld ultrasound device at a primary care facility in Zambia. Scans were performed by an infectious disease clinician, who had completed some training in echocardiography in the United Kingdom (UK). The data includes apical four-chamber (A4C), parasternal short-axis (PSAX), and subcostal four-chamber (S-A4C) views from 64 patients. In total, among the 64 patients in the dataset, 34 had PSAX views, 27 had S-A4C views, and 22 had A4C views. Cardiac pathology affecting heart function was observed in a subset of patients, such as pericardial effusion, left ventricular systolic dysfunction, and constrictive physiology. |
| Capture method | Experiment: Laboratory |
| Date | 16 December 2025 |
| Language(s) of written materials | English |
| Creator(s) |
Scopazzini, M |
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom; Imperial College London, London, United Kingdom |
| Funders |
Project Funder Grant Number Funder URI UKRI AI Centre for Doctoral Training in Digital Healthcare EP/Y030974 1 https://doi.org/10.13039/100014013 |
| Date Deposited | 16 Dec 2025 17:51 |
| Last Modified | 16 Dec 2025 17:56 |
| Publisher | London School of Hygiene & Tropical Medicine |
Data / Code
Myocardium_data.zip
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subject - Data
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lock - Restricted to Request access for all
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copyright - Available under Data Sharing Agreement
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info - The Myocardium folder contains 3 sub-folders - A4C, PSAX, and Subcostal. Each subfolder contains images and labels (segmentation masks) in the original size of 1024x768. Images are saved in PNG format
folder_zip - application/zip
- folder_info
- 221B
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Documentation
4569_UserGuide.html
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subject - Documentation
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- Available under Creative Commons: Attribution 4.0
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info - User guide for Myocardium dataset
html - text/html
- folder_info
- 8kB
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ORCID: https://orcid.org/0000-0003-1555-5175
ORCID: https://orcid.org/0000-0002-2825-3419