Smartphone-Based LiDAR Application for Easy and Accurate Wound Size Measurement

Author:

Song Bokeun12ORCID,Kim Jeonghee1,Kwon Hyeokjae13,Kim Sunje1,Oh Sang-Ha123,Ha Yooseok1ORCID,Song Seung-Han123

Affiliation:

1. Department of Plastic and Reconstructive Surgery, Chungnam National University Hospital, Daejeon 35015, Republic of Korea

2. Department of Medical Science, College of Medicine, Chungnam National University, Daejeon 35015, Republic of Korea

3. Department of Plastic and Reconstructive Surgery, College of Medicine, Chungnam National University, Daejeon 35015, Republic of Korea

Abstract

The accurate assessment of wound size is a critical step in advanced wound care management. This study aims to introduce and validate a Light Detection and Ranging (LiDAR) technique for measuring wound size. Twenty-eight wounds treated from December 2022 to April 2023 at the Chungnam National University Hospital were analyzed. All the wounds were measured using three techniques: conventional ruler methods, the LiDAR technique, and ImageJ analysis. Correlation analysis, linear regression, and Bland–Altman plot analysis were performed to validate the accuracy of the novel method. The measurement results (mean ± standard deviation) obtained using the ruler method, LiDAR technique, and ImageJ analysis were 112.99 ± 110.07 cm2, 73.59 ± 72.97 cm2, and 74.29 ± 72.15 cm2, respectively. The Pearson correlation coefficient was higher for the LiDAR application (0.995) than for the conventional ruler methods (mean difference, −5.0000 cm2), as was the degree of agreement (mean difference, 38.6933 cm2). Wound size measurement using LiDAR is a simple and reliable method that will enable practitioners to conveniently assess wounds with a flattened and irregular shape with higher accuracy. However, non-flattened wounds cannot be assessed owing to the technical limitations of LiDAR.

Funder

National Research Foundation of Korea

Chungnam National University Hospital Research Fund, 2022

Korea Health Industry Development Institute

Ministry of Health & Welfare, Republic of Korea

Publisher

MDPI AG

Subject

General Medicine

Reference14 articles.

1. An Assessment of the Accuracy and Usability of a Novel Optical Wound Measurement System;Bowling;Diabet. Med.,2009

2. Computer-Assisted Wound Assessment and Care Education Program in Registered Nurses: Use of an Interactive Online Program by 418 Registered Nurses;J. Wound Ostomy. Continence. Nurs.,2019

3. Quantitative Monitoring Wound Healing Status Through Three-Dimensional Imaging on Mobile Platforms;Yee;J. Am. Coll. Clin. Wound Spec.,2016

4. Image Analysis of Chronic Wounds for Determining the Surface Area;Papazoglou;Wound Repair Regen.,2010

5. Chazette, P., Totems, J., Hespel, L., and Bailly, J.-S. (2016). Optical Remote Sensing of Land Surface, Elsevier.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3