Simulation study on the effects of cancellous bone structure in the skull on ultrasonic wave propagation.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
02 09 2021
Historique:
received: 09 12 2020
accepted: 11 08 2021
entrez: 3 9 2021
pubmed: 4 9 2021
medline: 15 12 2021
Statut: epublish

Résumé

The transcranial Doppler method (TCD) enables the measurement of cerebral blood flow velocity and detection of emboli by applying an ultrasound probe to the temporal bone window, or the orbital or greater occipital foramina. TCD is widely used for evaluation of cerebral vasospasm after subarachnoid hemorrhage, early detection of patients with arterial stenosis, and the assessment of brain death. However, measurements often become difficult in older women. Among various factors contributing to this problem, we focused on the effect of the diploe in the skull bone on the penetration of ultrasound into the brain. In particular, the effect of the cancellous bone structure in the diploe was investigated. Using a 2D digital bone model, wave propagation through the skull bone was investigated using the finite-difference time-domain (FDTD) method. We fabricated digital bone models with similar structure but different BV/TV (bone volume/total volume) values in the diploe. At a BV/TV of approximately 50-60% (similar to that of older women), the minimum ultrasound amplitude was observed as a result of scattering and multiple reflections in the cancellous diploe. These results suggest that structural changes such as osteoporosis may be one factor hampering TCD measurements.

Identifiants

pubmed: 34475422
doi: 10.1038/s41598-021-96502-5
pii: 10.1038/s41598-021-96502-5
pmc: PMC8413454
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

17592

Informations de copyright

© 2021. The Author(s).

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Auteurs

Itsuki Michimoto (I)

Doshisha University, Kyotanabe, Japan.

Kazuki Miyashita (K)

Doshisha University, Kyotanabe, Japan.

Hidehisa Suzuyama (H)

Doshisha University, Kyotanabe, Japan.

Keita Yano (K)

Doshisha University, Kyotanabe, Japan.

Yasuyo Kobayashi (Y)

Nara Medical University, Kashihara, Japan.

Kozue Saito (K)

Nara Medical University, Kashihara, Japan.

Mami Matsukawa (M)

Doshisha University, Kyotanabe, Japan. mmatsuka@mail.doshisha.ac.jp.

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Classifications MeSH