Experimental tissue mimicking human head phantom for estimation of stroke using IC-CF-DMAS algorithm in microwave based imaging system

• Published in: Scientific reports Vol. 11; no. 1; pp. 22015 - 14
• Main Authors: Islam, Mohammad Shahidul, Islam, Mohammad Tariqul, Almutairi, Ali F.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 10.11.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166/985; 639/166/987; Algorithms; Cerebrospinal fluid; Electrical properties; Head - diagnostic imaging; Humanities and Social Sciences; Humans; Image processing; Microwaves; Mimicry; multidisciplinary; Neuroimaging; Phantoms, Imaging; Science; Science (multidisciplinary); Stroke - diagnostic imaging; Substantia alba; Substantia grisea; Tissues
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-021-01486-x

This paper presents the preparation and measurement of tissue-mimicking head phantom and its validation with the iteratively corrected coherence factor delay-multiply-and-sum (IC-CF-DMAS) algorithm for brain stroke detection. The phantom elements are fabricated by using different chemical mixtures that imitate the electrical properties of real head tissues (CSF, dura, gray matter, white matter, and blood/stroke) over the frequency band of 1–4 GHz. The electrical properties are measured using the open-ended dielectric coaxial probe connected to a vector network analyzer. Individual phantom elements are placed step by step in a three-dimensional skull. The IC-CF-DMAS image reconstruction algorithm is later applied to the phantom to evaluate the effectiveness of detecting stroke. The phantom elements are preserved and measured multiple times in a week to validate the overall performance over time. The electrical properties of the developed phantom emulate the similar properties of real head tissue. Moreover, the system can also effectively detect the stroke from the developed phantom. The experimental results demonstrate that the developed tissue-mimicking head phantom is time-stable, and it shows a good agreement with the theoretical results in detecting and reconstructing the stroke images that could be used in investigating as a supplement to the real head tissue.