Next Article in Journal
Effects of Resilience Training on Resilient Functioning in Chronic Stress Situations among Cadets of the Swiss Armed Forces
Next Article in Special Issue
Cervical Cancer Prevention Knowledge (Cckp-64) among Female Students in Novi Sad, Serbia during COVID-19 Pandemic
Previous Article in Journal
The Role of Subjective Wellbeing in Mediating Social Trust to the Mental Health of Health Workers
Previous Article in Special Issue
Severity of Menstrual Pain Is Associated with Nutritional Intake and Lifestyle Habits
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Healthcare
Volume 11
Issue 9
10.3390/healthcare11091328
healthcare-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Brief Report

A Histogram Analysis of the Pixel Grayscale (Luminous Intensity) of B-Mode Ultrasound Images of the Subcutaneous Layer Predicts the Grade of Leg Edema in Pregnant Women

by
Eri Ikuta
1,
Masafumi Koshiyama
2,*,
Yumiko Watanabe
2,
Airi Banba
1,
Nami Yanagisawa
3,
Miwa Nakagawa
1,
Ayumi Ono
1,
Keiko Seki
1,
Haruki Kambe
4,
Taiki Godo
4,
Shin-ichi Sakamoto
4,
Yoko Hara
5 and
Akira Nakajima
5
1
Graduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan
2
Department of Women’s Health, Graduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan
3
School of Nursing, Tsuruga Nursing University, Tsuruga 914-0814, Japan
4
Department of Electronic Systems Engineering, School of Engineering, The University of Shiga Prefecture, Hikone 522-0057, Japan
5
Iris Women’s Clinic, Hikone 522-0057, Japan
*
Author to whom correspondence should be addressed.
Healthcare 2023, 11(9), 1328; https://doi.org/10.3390/healthcare11091328
Submission received: 6 March 2023 / Revised: 10 April 2023 / Accepted: 29 April 2023 / Published: 5 May 2023
(This article belongs to the Special Issue Diagnosis, Prevention, Treatment and Medical Care for Gynecologic and Perinatal Diseases)
Browse Figures
Review Reports Versions Notes

Abstract

The technique most widely used to quantitatively measure leg edema is only a pitting edema method. It has recently become possible to digitize B-mode ultrasound images and accurately quantify their brightness using an image-analysis software program. The purpose of this study was to find new indices of the grade of leg skin, to study whether or not analyses of the subcutaneous layer of leg skin on ultrasound images using image-editing software program can be used to evaluate it and to digitize it. Images of 282 subcutaneous layers of leg skin in 141 pregnant women were obtained using a B-scan portable ultrasound device. Rectangular photographs (vertical: skin thickness; horizontal: width of probe) were obtained using an image-editing program, and the luminous intensity (pixel grayscale: 0–255) and thickness of the skin were calculated using a histogram. We investigated the correlation between these parameters and the grade of pitting edema (0–3). There was a significant positive correlation between the grade of pitting edema and the average luminous intensity value, its standard deviation, and the skin thickness (ρ = 0.36, ρ = 0.22, ρ = 0.51, p < 0.0001, respectively). In particular, there was strong positive correlation between the grade of pitting edema and both the total number of pixels in a rectangle × (multiplied by) the average luminous intensity value and the total number of pixels in a rectangle × the standard deviation of the average luminous intensity value (ρ = 0.58 and ρ = 0.59, p < 0.0001, respectively). We could quantitatively evaluate the grade of leg edema by analyzing ultrasound photographs of the subcutaneous layer of the leg skin using an image-editing software program and found new indices to digitize it.
Keywords: pixel; grayscale; ultrasound; image; leg edema; photoshop pixel; grayscale; ultrasound; image; leg edema; photoshop

Share and Cite

MDPI and ACS Style

Ikuta, E.; Koshiyama, M.; Watanabe, Y.; Banba, A.; Yanagisawa, N.; Nakagawa, M.; Ono, A.; Seki, K.; Kambe, H.; Godo, T.; et al. A Histogram Analysis of the Pixel Grayscale (Luminous Intensity) of B-Mode Ultrasound Images of the Subcutaneous Layer Predicts the Grade of Leg Edema in Pregnant Women. Healthcare 2023, 11, 1328. https://doi.org/10.3390/healthcare11091328

AMA Style

Ikuta E, Koshiyama M, Watanabe Y, Banba A, Yanagisawa N, Nakagawa M, Ono A, Seki K, Kambe H, Godo T, et al. A Histogram Analysis of the Pixel Grayscale (Luminous Intensity) of B-Mode Ultrasound Images of the Subcutaneous Layer Predicts the Grade of Leg Edema in Pregnant Women. Healthcare. 2023; 11(9):1328. https://doi.org/10.3390/healthcare11091328

Chicago/Turabian Style

Ikuta, Eri, Masafumi Koshiyama, Yumiko Watanabe, Airi Banba, Nami Yanagisawa, Miwa Nakagawa, Ayumi Ono, Keiko Seki, Haruki Kambe, Taiki Godo, and et al. 2023. "A Histogram Analysis of the Pixel Grayscale (Luminous Intensity) of B-Mode Ultrasound Images of the Subcutaneous Layer Predicts the Grade of Leg Edema in Pregnant Women" Healthcare 11, no. 9: 1328. https://doi.org/10.3390/healthcare11091328

APA Style

Ikuta, E., Koshiyama, M., Watanabe, Y., Banba, A., Yanagisawa, N., Nakagawa, M., Ono, A., Seki, K., Kambe, H., Godo, T., Sakamoto, S.-i., Hara, Y., & Nakajima, A. (2023). A Histogram Analysis of the Pixel Grayscale (Luminous Intensity) of B-Mode Ultrasound Images of the Subcutaneous Layer Predicts the Grade of Leg Edema in Pregnant Women. Healthcare, 11(9), 1328. https://doi.org/10.3390/healthcare11091328

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop