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Software tool for analysis of voxel human body models
Maroš Šmondrk, Branko Babušiak, Mariana Beňová, Ladislav Janoušek
Jazyk angličtina Země Česko
Typ dokumentu práce podpořená grantem, přehledy
- MeSH
- anatomické modely MeSH
- biomedicínský výzkum MeSH
- digitální technologie metody přístrojové vybavení MeSH
- kardiostimulace umělá metody MeSH
- kardiovaskulární nemoci diagnostické zobrazování prevence a kontrola MeSH
- lidské tělo * MeSH
- počítačová simulace MeSH
- software * trendy MeSH
- Publikační typ
- práce podpořená grantem MeSH
- přehledy MeSH
The paper describes a software tool created to inspect the anatomical structures of any segmented voxel model of the human body for use in numerical analyses of the interaction of non-ionizing electromagnetic radiation with a metallic implant. A voxel model is a three-dimensional representation of the human body model in the form of a numerical array of indices that identify each element as belonging to a particular tissue, organ, or anatomical part. The process of virtual implant placement within these models while maintaining their anatomical limitations is complex and time-consuming. We have created a software tool in the MATLAB environment to simplify and speed up this process. As a representative case, we used the developed tool to identify three implantation sites of pacing electrodes within the cardiovascular system of the available AustinMan and AustinWoman models.
Citace poskytuje Crossref.org
Literatura
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- $a The paper describes a software tool created to inspect the anatomical structures of any segmented voxel model of the human body for use in numerical analyses of the interaction of non-ionizing electromagnetic radiation with a metallic implant. A voxel model is a three-dimensional representation of the human body model in the form of a numerical array of indices that identify each element as belonging to a particular tissue, organ, or anatomical part. The process of virtual implant placement within these models while maintaining their anatomical limitations is complex and time-consuming. We have created a software tool in the MATLAB environment to simplify and speed up this process. As a representative case, we used the developed tool to identify three implantation sites of pacing electrodes within the cardiovascular system of the available AustinMan and AustinWoman models.
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