Ultrasonic Characterization of the Layered Structure of Human Scalp

Interest in transcranial ultrasound has motivated numerous ultrasonic studies of the skull and brain; however, the ultrasonic properties of the scalp are relatively unknown. The goal of this study was to ultrasonically characterize the transmural tissue structure of the scalp. Sixty-four formalin-fixed specimens were prepared from 4 human donors and scanned in a water tank with a 25 MHz transducer to create parametric images of the speed of sound (SOS), frequency slope of attenuation (FSA), integrated attenuation coefficient (IAC), integrated backscatter coefficient (IBC), and apparent integrated backscatter (AIB). Parametric images revealed a layered structure of which the 3 thickest (>1 mm) layers were analyzed: dermal, subcutaneous and subgaleal. Measured values for these 3 layers, respectively, were SOS = 1560 ± 29 m/s, 1510 ± 19 m/s, and 1520 ± 21 m/s; FSA = 2.75 ± 0.77 dB/cm/MHz, 2.51 ± 0.60 dB/cm/MHz, and 0.83 ± 0.47 dB/cm/MHz; IAC = 56 ± 11 dB/cm, 29.7 ± 6.1 dB/cm, and 20.3 ± 7.1 dB/cm; IBC = 0.14 ± 0.13 cm −1 sr −1 , 0.072 ± 0.056 cm −1 sr −1 and 0.07 ± 0.15 cm −1 sr −1 ; AIB = −45.1 ± 3.1 dB, −46.9 ± 3.2 dB and −50.2 ± 5.0 dB. All 5 measured parameters were significantly different between the dermal and subcutaneous layers and between the dermal and subgaleal layers. AIB, IAC, and FSA were significantly different between the subcutaneous and subgaleal tissue layers. These findings demonstrate that the ultrasonic properties of the scalp vary by layer.

Authors

Institutions

Publication Details

Journal
Ultrasonic Imaging
Published
2026-11-09
DOI
https://doi.org/10.1177/01617346261498895
Primary Topic
Ultrasound Imaging and Elastography
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Ultrasonic Characterization of the Layered Structure of Human Scalp

Ann M. Viano, Brent K. Hoffmeister, Blake C. Lawler, Cecille Pemberton Labuda et al.
Ultrasonic Imaging
Ultrasound Imaging and Elastography
article

Ultrasonic Characterization of the Layered Structure of Human Scalp

Ann M. Viano, Brent K. Hoffmeister, Blake C. Lawler, Cecille Pemberton Labuda, Catherine N. Prabish, Brayden S. Pallera, Thomas H. Conroy
article en

Abstract

Interest in transcranial ultrasound has motivated numerous ultrasonic studies of the skull and brain; however, the ultrasonic properties of the scalp are relatively unknown. The goal of this study was to ultrasonically characterize the transmural tissue structure of the scalp. Sixty-four formalin-fixed specimens were prepared from 4 human donors and scanned in a water tank with a 25 MHz transducer to create parametric images of the speed of sound (SOS), frequency slope of attenuation (FSA), integrated attenuation coefficient (IAC), integrated backscatter coefficient (IBC), and apparent integrated backscatter (AIB). Parametric images revealed a layered structure of which the 3 thickest (>1 mm) layers were analyzed: dermal, subcutaneous and subgaleal. Measured values for these 3 layers, respectively, were SOS = 1560 ± 29 m/s, 1510 ± 19 m/s, and 1520 ± 21 m/s; FSA = 2.75 ± 0.77 dB/cm/MHz, 2.51 ± 0.60 dB/cm/MHz, and 0.83 ± 0.47 dB/cm/MHz; IAC = 56 ± 11 dB/cm, 29.7 ± 6.1 dB/cm, and 20.3 ± 7.1 dB/cm; IBC = 0.14 ± 0.13 cm −1 sr −1 , 0.072 ± 0.056 cm −1 sr −1 and 0.07 ± 0.15 cm −1 sr −1 ; AIB = −45.1 ± 3.1 dB, −46.9 ± 3.2 dB and −50.2 ± 5.0 dB. All 5 measured parameters were significantly different between the dermal and subcutaneous layers and between the dermal and subgaleal layers. AIB, IAC, and FSA were significantly different between the subcutaneous and subgaleal tissue layers. These findings demonstrate that the ultrasonic properties of the scalp vary by layer.

Ultrasonic Imaging
Rhodes College (US), University of Mississippi (US)
Ultrasound Imaging and Elastography
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon