Automated Region Extraction from Thermal Images for Peripheral Vascular Disease Monitoring
المؤلفون المشاركون
Camilleri, Kenneth P.
Gatt, Alfred
Formosa, Cynthia
Mizzi, Anabelle
Mizzi, Stephen
Falzon, Owen
Chockalingam, Nachiappan
Gauci, Jean
Sturgeon, Cassandra
Ellul, Christian
Cassar, Kevin
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-12-13
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
This work develops a method for automatically extracting temperature data from prespecified anatomical regions of interest from thermal images of human hands, feet, and shins for the monitoring of peripheral arterial disease in diabetic patients.
Binarisation, morphological operations, and geometric transformations are applied in cascade to automatically extract the required data from 44 predefined regions of interest.
The implemented algorithms for region extraction were tested on data from 395 participants.
A correct extraction in around 90% of the images was achieved.
The process of automatically extracting 44 regions of interest was performed in a total computation time of approximately 1 minute, a substantial improvement over 10 minutes it took for a corresponding manual extraction of the regions by a trained individual.
Interrater reliability tests showed that the automatically extracted ROIs are similar to those extracted by humans with minimal temperature difference.
This set of algorithms provides a sufficiently accurate and reliable method for temperature extraction from thermal images at par with human raters with a tenfold reduction in time requirement.
The automated process may replace the manual human extraction, leading to a faster process, making it feasible to carry out large-scale studies and to increase the regions of interest with minimal cost.
The code for the developed algorithms, to extract the 44 ROIs from thermal images of hands, feet, and shins, has been made available online in the form of MATLAB functions and can be accessed from http://www.um.edu.mt/cbc/tipmid.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gauci, Jean& Falzon, Owen& Formosa, Cynthia& Gatt, Alfred& Ellul, Christian& Mizzi, Stephen…[et al.]. 2018. Automated Region Extraction from Thermal Images for Peripheral Vascular Disease Monitoring. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1187354
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gauci, Jean…[et al.]. Automated Region Extraction from Thermal Images for Peripheral Vascular Disease Monitoring. Journal of Healthcare Engineering No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1187354
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gauci, Jean& Falzon, Owen& Formosa, Cynthia& Gatt, Alfred& Ellul, Christian& Mizzi, Stephen…[et al.]. Automated Region Extraction from Thermal Images for Peripheral Vascular Disease Monitoring. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1187354
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1187354
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر