A 3D Scan Model and Thermal Image Data Fusion Algorithms for 3D Thermography in Medicine. (8th November 2017)

• Record Type: Journal Article
• Authors: Chromy, Adam; Klima, Ondrej
• Other Names: Moratal David Academic Editor.
• Is Part Of: Journal of healthcare engineering. Volume 2017(2017)
• Publication Date: 2017-11-08
• Subjects: Hospital buildings -- Environmental engineering -- Periodicals; Medical technology -- Periodicals; Medical informatics -- Periodicals; 610.28
• DOI: 10.1155/2017/5134021
• Languages: English
• ISSNs: 2040-2295

Abstract

Abstract : Objectives . At present, medical thermal imaging is still considered a mere qualitative tool enabling us to distinguish between but lacking the ability to quantify the physiological and nonphysiological states of the body. Such a capability would, however, facilitate solving the problem of medical quantification, whose presence currently manifests itself within the entire healthcare system. Methods . A generally applicable method to enhance captured 3D spatial data carrying temperature-related information is presented; in this context, all equations required for other data fusions are derived. The method can be utilized for high-density point clouds or detailed meshes at a high resolution but is conveniently usable in large objects with sparse points. Results . The benefits of the approach are experimentally demonstrated on 3D thermal scans of injured subjects. We obtained diagnostic information inaccessible via traditional methods. Conclusion . Using a 3D model and thermal image data fusion allows the quantification of inflammation, facilitating more precise injury and illness diagnostics or monitoring. The technique offers a wide application potential in medicine and multiple technological domains, including electrical and mechanical engineering.