Matches in SemOpenAlex for { <https://semopenalex.org/work/W3129168352> ?p ?o ?g. }
- W3129168352 endingPage "1200" @default.
- W3129168352 startingPage "1200" @default.
- W3129168352 abstract "Even though animal trials are a controversial topic, they provide knowledge about diseases and the course of infections in a medical context. To refine the detection of abnormalities that can cause pain and stress to the animal as early as possible, new processes must be developed. Due to its noninvasive nature, thermal imaging is increasingly used for severity assessment in animal-based research. Within a multimodal approach, thermal images combined with anatomical information could be used to simulate the inner temperature profile, thereby allowing the detection of deep-seated infections. This paper presents the generation of anatomical thermal 3D models, forming the underlying multimodal model in this simulation. These models combine anatomical 3D information based on computed tomography (CT) data with a registered thermal shell measured with infrared thermography. The process of generating these models consists of data acquisition (both thermal images and CT), camera calibration, image processing methods, and structure from motion (SfM), among others. Anatomical thermal 3D models were successfully generated using three anesthetized mice. Due to the image processing improvement, the process was also realized for areas with few features, which increases the transferability of the process. The result of this multimodal registration in 3D space can be viewed and analyzed within a visualization tool. Individual CT slices can be analyzed axially, sagittally, and coronally with the corresponding superficial skin temperature distribution. This is an important and successfully implemented milestone on the way to simulating the internal temperature profile. Using this temperature profile, deep-seated infections and inflammation can be detected in order to reduce animal suffering." @default.
- W3129168352 created "2021-02-15" @default.
- W3129168352 creator A5001981594 @default.
- W3129168352 creator A5014450110 @default.
- W3129168352 creator A5028314781 @default.
- W3129168352 creator A5057225233 @default.
- W3129168352 creator A5062836551 @default.
- W3129168352 creator A5065088853 @default.
- W3129168352 creator A5065295670 @default.
- W3129168352 creator A5069679489 @default.
- W3129168352 date "2021-02-09" @default.
- W3129168352 modified "2023-10-14" @default.
- W3129168352 title "An Anatomical Thermal 3D Model in Preclinical Research: Combining CT and Thermal Images" @default.
- W3129168352 cites W1964019702 @default.
- W3129168352 cites W2028886550 @default.
- W3129168352 cites W2040217531 @default.
- W3129168352 cites W2062748746 @default.
- W3129168352 cites W2104178017 @default.
- W3129168352 cites W2219964339 @default.
- W3129168352 cites W2292381980 @default.
- W3129168352 cites W2537500944 @default.
- W3129168352 cites W2558438732 @default.
- W3129168352 cites W2746928283 @default.
- W3129168352 cites W2752486367 @default.
- W3129168352 cites W2761335958 @default.
- W3129168352 cites W2765976284 @default.
- W3129168352 cites W2767966035 @default.
- W3129168352 cites W2793174164 @default.
- W3129168352 cites W2800428700 @default.
- W3129168352 cites W2803688198 @default.
- W3129168352 cites W2893468514 @default.
- W3129168352 cites W2898988937 @default.
- W3129168352 cites W2899017817 @default.
- W3129168352 cites W2904545697 @default.
- W3129168352 cites W2907184496 @default.
- W3129168352 cites W2914410118 @default.
- W3129168352 cites W2949682346 @default.
- W3129168352 cites W2950541532 @default.
- W3129168352 cites W2962324114 @default.
- W3129168352 cites W2969871965 @default.
- W3129168352 cites W2985349601 @default.
- W3129168352 cites W3010501768 @default.
- W3129168352 cites W3046044527 @default.
- W3129168352 cites W3089240259 @default.
- W3129168352 cites W3108640596 @default.
- W3129168352 cites W3113008830 @default.
- W3129168352 doi "https://doi.org/10.3390/s21041200" @default.
- W3129168352 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7915503" @default.
- W3129168352 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33572091" @default.
- W3129168352 hasPublicationYear "2021" @default.
- W3129168352 type Work @default.
- W3129168352 sameAs 3129168352 @default.
- W3129168352 citedByCount "3" @default.
- W3129168352 countsByYear W31291683522022 @default.
- W3129168352 countsByYear W31291683522023 @default.
- W3129168352 crossrefType "journal-article" @default.
- W3129168352 hasAuthorship W3129168352A5001981594 @default.
- W3129168352 hasAuthorship W3129168352A5014450110 @default.
- W3129168352 hasAuthorship W3129168352A5028314781 @default.
- W3129168352 hasAuthorship W3129168352A5057225233 @default.
- W3129168352 hasAuthorship W3129168352A5062836551 @default.
- W3129168352 hasAuthorship W3129168352A5065088853 @default.
- W3129168352 hasAuthorship W3129168352A5065295670 @default.
- W3129168352 hasAuthorship W3129168352A5069679489 @default.
- W3129168352 hasBestOaLocation W31291683521 @default.
- W3129168352 hasConcept C111919701 @default.
- W3129168352 hasConcept C115961682 @default.
- W3129168352 hasConcept C120665830 @default.
- W3129168352 hasConcept C121332964 @default.
- W3129168352 hasConcept C127313418 @default.
- W3129168352 hasConcept C136229726 @default.
- W3129168352 hasConcept C151730666 @default.
- W3129168352 hasConcept C154945302 @default.
- W3129168352 hasConcept C158355884 @default.
- W3129168352 hasConcept C166704113 @default.
- W3129168352 hasConcept C2779222261 @default.
- W3129168352 hasConcept C2779343474 @default.
- W3129168352 hasConcept C31601959 @default.
- W3129168352 hasConcept C31972630 @default.
- W3129168352 hasConcept C36464697 @default.
- W3129168352 hasConcept C41008148 @default.
- W3129168352 hasConcept C71924100 @default.
- W3129168352 hasConcept C98045186 @default.
- W3129168352 hasConceptScore W3129168352C111919701 @default.
- W3129168352 hasConceptScore W3129168352C115961682 @default.
- W3129168352 hasConceptScore W3129168352C120665830 @default.
- W3129168352 hasConceptScore W3129168352C121332964 @default.
- W3129168352 hasConceptScore W3129168352C127313418 @default.
- W3129168352 hasConceptScore W3129168352C136229726 @default.
- W3129168352 hasConceptScore W3129168352C151730666 @default.
- W3129168352 hasConceptScore W3129168352C154945302 @default.
- W3129168352 hasConceptScore W3129168352C158355884 @default.
- W3129168352 hasConceptScore W3129168352C166704113 @default.
- W3129168352 hasConceptScore W3129168352C2779222261 @default.
- W3129168352 hasConceptScore W3129168352C2779343474 @default.
- W3129168352 hasConceptScore W3129168352C31601959 @default.
- W3129168352 hasConceptScore W3129168352C31972630 @default.
- W3129168352 hasConceptScore W3129168352C36464697 @default.