Literature DB >> 32320356

Wound Size Imaging: Ready for Smart Assessment and Monitoring.

Yves Lucas1, Rania Niri1,2, Sylvie Treuillet1, Hassan Douzi2, Benjamin Castaneda3.   

Abstract

Significance: We introduce and evaluate emerging devices and modalities for wound size imaging and also promising image processing tools for smart wound assessment and monitoring. Recent Advances: Some commercial devices are available for optical wound assessment but with limited possibilities compared to the power of multimodal imaging. With new low-cost devices and machine learning, wound assessment has become more robust and accurate. Wound size imaging not only provides area and volume but also the proportion of each tissue on the wound bed. Near-infrared and thermal spectral bands also enhance the classical visual assessment. Critical Issues: The ability to embed advanced imaging technology in portable devices such as smartphones and tablets with tissue analysis software tools will significantly improve wound care. As wound care and measurement are performed by nurses, the equipment needs to remain user-friendly, enable quick measurements, provide advanced monitoring, and be connected to the patient data management system. Future Directions: Combining several image modalities and machine learning, optical wound assessment will be smart enough to enable real wound monitoring, to provide clinicians with relevant indications to adapt the treatments and to improve healing rates and speed. Sharing the wound care histories of a number of patients on databases and through telemedicine practice could induce a better knowledge of the healing process and thus a better efficiency when the recorded clinical experience has been converted into knowledge through deep learning.

Entities:  

Keywords:  computer vision; deep learning; mobile health; tissue classification; wound size imaging

Mesh:

Year:  2020        PMID: 32320356      PMCID: PMC8392100          DOI: 10.1089/wound.2018.0937

Source DB:  PubMed          Journal:  Adv Wound Care (New Rochelle)        ISSN: 2162-1918            Impact factor:   4.730


  44 in total

1.  Hemodynamic 3D Infrared Thermal Stereoscopic Imaging (TSI) Investiga- tion in Chronic Vascular Leg Ulcers: A Feasibility Study.

Authors:  Carlo Mirabella; Serena Bellandi; Gabriele Graziani; Leonardo Tolomei; Leonardo Manetti; Damiano Fortuna
Journal:  Wounds       Date:  2011-09       Impact factor: 1.546

Review 2.  Wound assessment.

Authors:  Joseph E Grey; Stuart Enoch; Keith G Harding
Journal:  BMJ       Date:  2006-02-04

3.  Three-dimensional assessment of skin wounds using a standard digital camera.

Authors:  Sylvie Treuillet; Benjamin Albouy; Yves Lucas
Journal:  IEEE Trans Med Imaging       Date:  2009-01-13       Impact factor: 10.048

4.  Automatic evaluation of pressure sore status by combining information obtained from high-frequency ultrasound and digital photography.

Authors:  Sahar Moghimi; Mohammad Hossein Miran Baygi; Giti Torkaman
Journal:  Comput Biol Med       Date:  2011-05-19       Impact factor: 4.589

5.  Assessment of the Size of the Surgical Site in Minimally Invasive Hip Surgery.

Authors:  David Putzer; Matthias Haselbacher; Sebastian Klug; Michael Nogler
Journal:  Adv Wound Care (New Rochelle)       Date:  2014-06-01       Impact factor: 4.730

Review 6.  The Evolving Field of Wound Measurement Techniques: A Literature Review.

Authors:  Rachel Khoo; Shirley Jansen
Journal:  Wounds       Date:  2016-06       Impact factor: 1.546

Review 7.  Hyperspectral interventional imaging for enhanced tissue visualization and discrimination combining band selection methods.

Authors:  Dorra Nouri; Yves Lucas; Sylvie Treuillet
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-07-04       Impact factor: 2.924

8.  The validity and reliability of remote diabetic foot ulcer assessment using mobile phone images.

Authors:  Jaap J van Netten; Damien Clark; Peter A Lazzarini; Monika Janda; Lloyd F Reed
Journal:  Sci Rep       Date:  2017-08-25       Impact factor: 4.379

9.  Ways to increase precision and accuracy of wound area measurement using smart devices: Advanced app Planimator.

Authors:  Piotr Foltynski
Journal:  PLoS One       Date:  2018-03-05       Impact factor: 3.240

10.  Quantitative imaging with a mobile phone microscope.

Authors:  Arunan Skandarajah; Clay D Reber; Neil A Switz; Daniel A Fletcher
Journal:  PLoS One       Date:  2014-05-13       Impact factor: 3.240

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  4 in total

1.  Reliability of a Three-Dimensional Wound Camera and Correlation With Routine Ruler Measurement in Diabetes-Related Foot Ulceration.

Authors:  Joel Willem Johan Lasschuit; Jill Featherston; Katherine Thuy Trang Tonks
Journal:  J Diabetes Sci Technol       Date:  2020-11-26

2.  Interactive Medical Image Labeling Tool to Construct a Robust Convolutional Neural Network Training Data Set: Development and Validation Study.

Authors:  David Reifs; Ramon Reig-Bolaño; Marta Casals; Sergi Grau-Carrion
Journal:  JMIR Med Inform       Date:  2022-08-22

3.  Experimental Study on Wound Area Measurement with Mobile Devices.

Authors:  Filipe Ferreira; Ivan Miguel Pires; Vasco Ponciano; Mónica Costa; María Vanessa Villasana; Nuno M Garcia; Eftim Zdravevski; Petre Lameski; Ivan Chorbev; Martin Mihajlov; Vladimir Trajkovik
Journal:  Sensors (Basel)       Date:  2021-08-26       Impact factor: 3.576

4.  Automatic wound detection and size estimation using deep learning algorithms.

Authors:  Héctor Carrión; Mohammad Jafari; Michelle Dawn Bagood; Hsin-Ya Yang; Roslyn Rivkah Isseroff; Marcella Gomez
Journal:  PLoS Comput Biol       Date:  2022-03-11       Impact factor: 4.475

  4 in total

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