Článek v časopise

CHROMÝ Adam a KLÍMA Ondřej. A 3D Scan Model and Thermal Image Data Fusion Algorithms for 3D Thermography in Medicine. Journal of Healthcare Engineering. London: Hindawi Publishing Corporation, 2017, roč. 2017, č. 1, s. 1-9. ISSN 2040-2295.
Jazyk publikace:angličtina
Název publikace:A 3D Scan Model and Thermal Image Data Fusion Algorithms for 3D Thermography in Medicine
Název (cs):Algoritmy fúze 3D skenovaných modelů a termálních obrazových dat pro medicínskou termografii
Místo vydání:GB
Časopis:Journal of Healthcare Engineering, roč. 2017, č. 1, London, GB
Klíčová slova
3D termální zobrazování, teplotní kvantifikce, medicínská termografie, fúze prostorových dat
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.
   author = {Adam Chrom{\'{y}} and Ond{\v{r}}ej Kl{\'{i}}ma},
   title = {A 3D Scan Model and Thermal Image Data Fusion
	Algorithms for 3D Thermography in Medicine},
   pages = {1--9},
   journal = {Journal of Healthcare Engineering},
   volume = 2017,
 number = 1,
   year = 2017,
   ISSN = {2040-2295},
   doi = {10.1155/2017/5134021},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.cs?id=11557}

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