High-Resolution Ultrasound Platform for Infant Meningitis Detection: An In Vitro Demonstration.
Manuel NavarreteDavid Castells-RufasHassane Baghdad KichouGuillermo Navarro-PatronJavier JimenezJordi CarrabinaPublished in: Sensors (Basel, Switzerland) (2024)
Infant meningitis remains a severe burden on global health, particularly for young infants. Traditional ultrasound imaging techniques are limited in spatial resolution to visualize white blood cells (WBCs) in the cerebrospinal fluid (CSF), which is considered a well-established marker for meningitis detection. This work presents a novel platform that uses high-resolution ultrasound to detect the backscatter signals from microscopic CSF WBCs through the anterior fontanelle of neonates and young infants. The whole system was built around a custom probe that allows for a 20 MHz focused transducer to be mechanically controlled to map the area of interest in the CSF. Data processing can be performed internally in the device without the need to extract the images for further analysis. The in vitro feasibility of the proposed solution was evaluated in imaging 7 μm particle suspensions at different concentrations relevant to meningitis diagnosis ranging from 7- to 646-particles (pp)/μL. The experimental tests were conducted from a simple setup using a sample container to a more realistic setup based on an anatomical phantom of the neonatal head. The results show high-quality images, where 7 μm particles can be resolved for the different concentrations.
Keyphrases
- cerebrospinal fluid
- high resolution
- global health
- magnetic resonance imaging
- deep learning
- convolutional neural network
- induced apoptosis
- loop mediated isothermal amplification
- public health
- mass spectrometry
- label free
- real time pcr
- middle aged
- ultrasound guided
- electronic health record
- tandem mass spectrometry
- high speed
- cell cycle arrest
- early onset
- signaling pathway
- single molecule
- preterm infants
- cell proliferation
- machine learning
- high density
- liquid chromatography
- artificial intelligence
- fluorescence imaging
- image quality