Evidence map›Paper›PMID 39400831›Full record

ArticleAdvances in experimental medicine and biology2024

Imaging Deep Haemorrhage and Ischaemia in Preterm Infants' Heads with Time-Domain Near-Infrared Optical Tomography: Phantom Study.

Jingjing Jiang, A Di Costanzo Mata, M Ackermann, E Russomanno, T Li, D Yacheur, M Wolf, A Kalyanov

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Article in Advances in experimental medicine and biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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8 authors.

Jingjing JiangBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland. jingjing.jiang@usz.ch.
A Di Costanzo MataBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland.
M AckermannBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland.
E RussomannoBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland.
T LiBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland.
D YacheurBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland.
M WolfBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland.
A KalyanovBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimThe occurrence of brain lesions in preterm infants is common and can result in lasting disabilities. To prevent these and to safeguard the brain through therapeutic measures or neuroprotective treatments, it is important to identify cerebral ischaemia/hypoxia and haemorrhage at an early stage. For this purpose, we have successfully developed a cutting-edge time-domain near-infrared optical tomography (TD-NIROT) system, which offers diagnostic imaging for neonatal brain oxygenation. Our objective is to validate the effectiveness of the TD-NIROT in detecting deep ischaemia/hypoxia and haemorrhages through phantom experiments.

methodsSpherical silicone phantoms were fabricated to replicate the head of preterm infant. To simulate the lesions, we made two head phantoms and embedded small inclusions mimicking ischaemia and haemorrhage at the depth of 30 mm. Additionally, a spherical interface was constructed to connect the spherical phantom to the imaging system, allowing us to collect time-domain data. Following the data acquisition, we proceeded with image reconstruction. Dice similarity was used as an indicator of the accuracy and similarity between the reconstructed images and the ground truth. RESULTS AND DISCUSSION: The resulting images exhibited an accurate location of haemorrhage and detected the ischaemia with a slightly shifted position with Dice similarity of 0.47 and 0.27.

conclusionOur experiment validates the capability of our TD-NIROT system in successfully detecting deep haemorrhages and ischaemia within the phantom model. The achieved results suggest a promising level of accuracy in the imaging process. These findings are encouraging to continue this work to ultimately achieve clinical application of the TD-NIROT system in diagnosing and monitoring neonatal brain injuries.

Indexed as

Infant, PrematurePhantoms, ImagingTomography, OpticalBrainBrain IschemiaCerebral HemorrhageHeadHumansInfant, NewbornSpectroscopy, Near-InfraredBrain hypoxiaBrain oxygen saturationDiffuse optical tomographyTime of flight imaging

Identifiers

PMID39400831

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.