About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Journal article · Book chapter

Physical Model for Investigating Intracranial Pressure with Clinical Pressure Sensors and Diagnostic Ultrasound: Preliminary Results

From

Technical University of Denmark1

Department of Health Technology, Technical University of Denmark2

Biomedical Instrumentation, Digital Health, Department of Health Technology, Technical University of Denmark3

Copenhagen University Hospital Herlev and Gentofte4

University of Copenhagen5

Digital Health, Department of Health Technology, Technical University of Denmark6

Introduction: Intracranial pressure (ICP) is a commonly collected neurocritical parameter, but accurate signal modelling remains challenging. The goal of this project was to mimic clinical ICP waveforms using a physical model. Materials and Methods: A physical head model was developed. The skull was segmented from a head computed tomography (CT) scan, remodelled, 3D-printed, and filled with a brain tissue mimicking material and a pressure generator.

Pressure measurements and tissue displacement around an attached pressure sensor were explored. Results: Analysis of the measured pressure demonstrated that the waveform did not perfectly resemble that of the clinical ICP. Through iterative improvements and using a revised second pressure generator, subpeaks could be seen in the waveform.

A speckle image recorded using ultrasound during pressure application enabled visualization of tissue displacement around the pressure sensor. Comparison with measured ICP signals revealed that minuscule patterns were not distinct in the displacement images. Discussion: We present the first steps towards mimicking clinical ICP using a physical head phantom model.

The physical model enabled pressure tests and visualization of tissue displacement and will be foundational for further improvements.

Language: English
Publisher: Springer
Year: 2021
Pages: 263-266
Series: Acta Neurochirurgica Supplement
ISBN: 3030594351 , 303059436X , 303059436x , 9783030594350 and 9783030594367
ISSN: 00651419
Types: Journal article and Book chapter
DOI: 10.1007/978-3-030-59436-7_49
ORCIDs: Tejada, Isabel Martinez and Wilhjelm, Jens E.

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis