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CHROMÝ, A. KLÍMA, O.
Original Title
A 3D Scan Model and Thermal Image Data Fusion Algorithms for 3D Thermography in Medicine
Type
journal article in Web of Science
Language
English
Original 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.
Keywords
3D thermal imaging; Thermal quantification; Medical Thermography; 3D Data Fusion
Authors
CHROMÝ, A.; KLÍMA, O.
Released
8. 11. 2017
Publisher
NEUVEDEN
Location
ISBN
2040-2295
Periodical
multi science- Journal of Healthcare Engineering
Year of study
2017
Number
1
State
United Kingdom of Great Britain and Northern Ireland
Pages from
Pages to
9
Pages count
URL
http://dx.doi.org/10.1155/2017/5134021
Full text in the Digital Library
http://hdl.handle.net/11012/70893
BibTex
@article{BUT144483, author="Adam {Chromý} and Ondřej {Klíma}", title="A 3D Scan Model and Thermal Image Data Fusion Algorithms for 3D Thermography in Medicine", journal="multi science- Journal of Healthcare Engineering", year="2017", volume="2017", number="1", pages="1--9", doi="10.1155/2017/5134021", issn="2040-2295", url="http://dx.doi.org/10.1155/2017/5134021" }