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X-WR-CALNAME:PHD in Industrial Engineering
X-ORIGINAL-URL:https://academics.dii.unipd.it/phd
X-WR-CALDESC:Events for PHD in Industrial Engineering
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DTSTART:20250101T000000
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DTSTART;TZID=UTC:20260520T100000
DTEND;TZID=UTC:20260520T130000
DTSTAMP:20260520T162934
CREATED:20260422T151505Z
LAST-MODIFIED:20260422T151505Z
UID:3361-1779271200-1779282000@academics.dii.unipd.it
SUMMARY:Biomedical Imaging with MEMS -day2
DESCRIPTION:Course unit contentsThis course explores Micro-Electro-Mechanical Systems (MEMS) for biomedical imaging and their integration into next-generation diagnostic systems\, focusing on ultrasound and Terahertz (THz) radiation. The curriculum provides the analytical and methodological tools required to design\, model\, and characterize MEMS-based transducers for ultrasound imaging and Terahertz imaging for clinical applications. \nThe course introduces biomedical imaging techniques\, describing the primary role of MEMS devices in both traditional and emerging imaging modalities. The program covers MEMS technology\, discussing different modeling approaches and describing the microfabrication processes that transform Silicon into 3D resonating microstructures. Proposed MEMS transducers modeling methodologies include analytical models based on linear systems theory\, lumped-parameter equivalent circuits\, and Finite Element Method (FEM) simulations. \nLearning goalsBy the end of the course\, participants will have acquired a comprehensive understanding of MEMS operating principles in the biomedical field. Students will develop advanced skills in creating circuital models for micro-electro-mechanical resonators\, as well as multiphysics FEM models featuring electro-mechano-acoustic and thermos-opto-mechanical coupling. Additionally\, attendees will understand the primary figures of merit necessary to evaluate the performance of MEMS-based systems in ultrasound and Terahertz imaging applications. \nSuggested readingsBrenner\, K.; Ergun\, A.S.; Firouzi\, K.; Rasmussen\, M.F.; Stedman\, Q.; Khuri–Yakub\, B. Advances in Capacitive Micromachined Ultrasonic Transducers. Micromachines 2019\, 10\, 152. https://doi.org/10.3390/mi10020152 \nA. Lohfink and P. C. Eccardt\, “Linear and nonlinear equivalent circuit modeling of CMUTs\,” in IEEE Transactions on Ultrasonics\, Ferroelectrics\, and Frequency Control\, vol. 52\, no. 12\, pp. 2163-2172\, Dec. 2005. https://doi.org/10.1109/TUFFC.2005.1563260 \nG. G. Yaralioglu\, S. A. Ergun and B. T. Khuri-Yakub\, “Finite-element analysis of capacitive micromachined ultrasonic transducers\,” in IEEE Transactions on Ultrasonics\, Ferroelectrics\, and Frequency Control\, vol. 52\, no. 12\, pp. 2185-2198\, Dec. 2005. https://doi.org/10.1109/TUFFC.2005.1563262 \nXiang Yang\, Xiang Zhao\, Ke Yang\, Yueping Liu\, Yu Liu\, Weiling Fu\, Yang Luo\, Biomedical Applications of Terahertz Spectroscopy and Imaging\, Trends in Biotechnology\, Volume 34\, Issue 10\, 2016\, Pages 810-824\, ISSN 0167-7799. https://doi.org/10.1016/j.tibtech.2016.04.008 \nVicarelli\, L.; Tredicucci\, A.; Pitanti\, A. Micromechanical Bolometers for Subterahertz Detection at Room Temperature\, ACS Photonics 2022\, 9\, 2\, 360–367. https://doi.org/10.1021/acsphotonics.1c01273
URL:https://academics.dii.unipd.it/phd/event/biomedical-imaging-with-mems-day2/
LOCATION:On-line
CATEGORIES:Event
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ORGANIZER;CN="PhD Course in Industrial Engineering":MAILTO:dottorato.dii@unipd.it
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