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Optical Cardiovascular Imaging
Published in Robert J. Gropler, David K. Glover, Albert J. Sinusas, Heinrich Taegtmeyer, Cardiovascular Molecular Imaging, 2007
Crystal M. Ripplinger, Guy Salama, Igor R. Efimov
Optical mapping techniques presented a unique opportunity to study the mechanisms of supraventricular and ventricular arrhythmias, due to unprecedented spatio-temporal resolution as well as the ability to map all phases of electrical activity, including activation and repolarization. Jalife’s group pioneered the application of optical mapping to study arrhythmogenesis (71–74) and made numerous significant contributions to our understanding of the mechanisms of both atrial (73) and ventricular arrhythmias (74,75). Since that time, many groups have presented optical mapping data supporting the reentrant nature of ventricular tachycardia (59,71,76,77) and fibrillation (75,78,79). Furthermore, optical mapping presented evidence for the three-dimensional nature of ventricular reentry, which is sustained by scroll waves (77,80).
Glossary of scientific and technical terms in bioengineering and biological engineering
Published in Megh R. Goyal, Scientific and Technical Terms in Bioengineering and Biological Engineering, 2018
Optical mapping is the light microscope based technique in which images of single DNA molecules undergoing restriction enzyme digest are recorded and used for the construction of physical maps of large pieces of DNA.
A spatiotemporal outlier detection method based on partial least squares discriminant analysis and area Delaunay triangulation for image-based process monitoring
Published in IISE Transactions, 2018
Adel Alaeddini, Abed Motasemi, Syed Hasib Akhter Faruqui
Imaging technologies have significantly contributed to process monitoring and control in numerous domains, ranging from manufacturing processes (Park et al., 2012), to food industries (Yu and MacGregor, 2003), to healthcare (Du et al., 2007). An interesting example in healthcare is the use of time-varying three-dimensional (3D) images of cardiac electrical waves captured using optical mapping techniques to study cardiac arrhythmias (Kan and Yang (2015); see Figure 1(a)). Another example, taken from the manufacturing of steel tubes, is the monitoring of the quality of combustion using the stability of both shape and color of the furnace flame, which is controlled by adjusting the amount of air and gas present (Yan et al. (2015); see Figure 1(b)). A final example is taken from the wafer manufacturing industry, where stress maps of a silicon wafer sample and composite laminate for process monitoring are studied (Yan et al. (2017); see Figure 1(c)). Such successful applications demonstrate an unprecedented opportunity to exploit imaging data for process monitoring.