NatalIA: PBF-US1 (Phantom Blind-sweeps for Fetal Ultrasound Scanning)
Creators
- 1. BiomedLab, IIB, Universidad Galileo
- 2. DiagnostiX, Integra Medical Center
Contributors
Description
NatalIA PBF-US1 is dataset designed to support the development of AI-based tools for detecting relevant fetal planes in ultrasound videos captured by non-trained personnel, such as midwives or nurses.
Abstract
In low-income countries, particularly in remote communities with a shortage of trained sonographers and high maternal mortality rates, developing AI tools to assist non-experts in accurately identifying relevant fetal planes and potential anomalies during ultrasound exams is crucial. This dataset includes 19407 ultrasound frames collected from 90 videos of a 23-week gestational age fetal ultrasound phantom, recorded through free-hand sweeps by non-experts. These data are valuable for advancing research on second-trimester pregnancies in low-income areas with untrained personnel. The frames were extracted from videos captured using a point-of-care ultrasound (POCUS) device in obstetric mode, set to a maximum depth of 16 cm. In total, 45 volunteers with no prior ultrasound experience recorded the videos while following four predefined scanning paths: vertical, horizontal, and two diagonal trajectories, with four different fetal poses. This approach creates a dataset that reflects real-world variability in non-expert settings, simulating ultrasound exams conducted by untrained personnel.
Methods
The dataset was collected using the US-7a SPACE FAN phantom (Kyoto Kagaku, Japan) in conjunction with a Clarius C3 HD3 point-of-care ultrasound (POCUS) device (Clarius, Canada). This phantom simulates a pregnancy at 23 weeks of gestation.
Videos were acquired with the POCUS device, capturing at a maximum depth of 16 cm and at 24 frames per second. To gather all the collected videos, a total of 45 volunteers were asked to perform four different sweeps: vertical, horizontal, and two diagonal trajectories. In total, 90 videos were acquired, resulting in 19407 frames, which will be detailed in the tables below.
Videos
Sweep | # of videos | Position | # of videos |
Vertical |
21 |
Occiput Posterior (OP) | 34 |
Horizontal | 27 | Sacrum Posterior (SP) | 26 |
Diagonal 1 | 22 | Occiput Anterior (OA) | 15 |
Diagonal 2 | 20 | Sacrum Anterior (SA) | 15 |
Frames
Plane | # of planes | Plane | # of planes |
Biparietal Plane (Value: 0) | 42 | Abdominal Plane (Value: 1) | 63 |
Heart Plane (Value: 2) | 61 | Spine Plane (Value: 3) | 134 |
Femur Plane (Value: 4) | 46 | No Plane (Value: 5) | 19061 |
Image annotation was performed by a radiologist, an obstetrician, and pre-trained medical students using the Labelbox platform (Labelbox, USA). Labels were subject to a review process for annotations performed by medical students, where the radiologist validated them.
Notes
Files
NatalIA PBFUS1.zip
Files
(266.3 MB)
Name | Size | Download all |
---|---|---|
md5:c679bbea00ee120e793e809c58ff7de7
|
266.3 MB | Preview Download |
Additional details
Funding
- Instituto de Efectividad Clínica y Sanitaria
Software
- Repository URL
- https://github.com/BiomedLabUGgt/NatalIA-PBF-US1
- Programming language
- Python