Short Courses Schedule
Short courses will be held in person only on Sunday, October 4, 2026.
Time | Room 1 | Room 2 | Room 3 | Room 4 | Room 5 | Room 6 | Room 7 | |
301A | 301B | 302A | 302B | 302C | 303 | 305A | Offsite | |
Capacity | 200 | 200 | 198 | 198 | 198 | 198 | 198 | |
Date | Sunday, October 4 | |||||||
08:30-12:30 | Biomolecular Ultrasound David Maresca, Mikhail Shapiro | Therapeutic Applications of Focused Ultrasound: From Biophysics to Clinical Application David Melodelima, Meaghan O'Reilly | AI for Cognitive Ultrasound Imaging Ruud van Sloun, Yonina Elder, Marcin Lewandowski | Acoustic Measurements in the Frequency Domain Cristian Pantea | Acoustic Tweezers: From Basic Principles to Its Biological Applications Jae Youn Hwang, Hyung Ham Kim, Teng Ma, | Finite Element Models for Acoustic Resonators Yook-Kong Yong | Ultrasound System Design: Analog Front-End Circuits, In-Probe Electronics, and Imaging Systems David Cowell, Michiel Pertijs, Enrico Boni | AM Lab Tours |
12:30-14:00 | Lunch | |||||||
14:00-18:00 | Quantitative Ultrasound in Soft Tissues Aiguo Han, Ivan Rosado Mendes, Cameron Hoerig, Jonathan Mamou | Super-Resolution Ultrasound Imaging Pengfei Song, Jean Provost | Advanced Ultrasound Signal Processing on GPUs Marcin Lewandowski, Piotr Jarosik, Piotr Karwat | Automation of Ultrasonic NDE: Integrating Material Physics, Classical Signal Processing, and Artificial Intelligence Erdal Oruklu, Jafar Sanie | Bulk Acoustic Wave Design Fundamentals for Filter Applications David Feld, Mihir Patel | Towards higher Frequency, Larger Power and AI-designed Piezoelectric Acoustic Devices Yansong Yang, Ruochen Lu | Bridging Research and Industry in Ultrasound: Practical Insights for Emerging Innovators Chris Draft, Charles D. Emery, Jessica Liu Strohmann | PM Lab Tours |
Group 1: Medical Ultrasonics
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This short course will provide an overview of techniques that are being developed in the field of Biomolecular Ultrasound.
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This course gives an into the therapeutic use of ultrasound that is currently going from research studies to clinical use.
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A.I. and deep learning are increasingly impacting ultrasound research. At the 2019 IUS we started a short course series on A.I. in ultrasound imaging, introducing the basic concepts and applications to our community.
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QUS methods permit quantifying tissue microstructure in great details in a user- and system-independent fashion. Therefore, QUS methods can be used to diagnose diseases, monitor treatment, or for active surveillance. These methods have a long history of success in numerous organ systems. Attendees will learn about the theoretical foundations of the methods, experimental methods and challenges, and become familiar with the state of the art. Upon completion of the course, attendees will have the foundational knowledge necessary to start investigating how QUS methods can be applied to their research and which previous published studies and methods are the most likely to be successfully applied. The course will also review QUS successes from recent studies from researchers within the IEEE IUS community.
This course will focus on the theoretical and experimental aspects of three families of quantitative ultrasound (QUS) methods: those based on the backscatter coefficient, envelope statistics, and ultrasound attenuation.
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Super-resolution ultrasound imaging has the capacity to distinguish and map structures that are smaller than the classical limit, typically a fraction of the wavelength. For ultrasound imaging, this means exploring features, such as blood vessels, in the micrometric range deep inside tissue.
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This course aims to familiarize participants with the complete development workflow of end-to-end, software ultrasound systems running on GPUs. Participants will be guided through several realistic use-cases that demonstrate full data flow-from raw channel data to reconstructed outputs-and the corresponding GPU implementations.
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Group 2: Sensors, NDE and Industrial Application
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Frequency-domain measurements present several advantages over the typical time-domain measurements.
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This course covers the integration of automation into non-destructive evaluation (NDE) frameworks, with a dedicated focus on ultrasonic imaging and sensing modalities, and further developing the methodologies required for the characterization and analysis of highly complex echo signals.
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Group 3: Physical Acoustics
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Acoustic tweezers have become a versatile tool in biomedical engineering for contactless manipulation of microscale objects.
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Today's precision piezoelectric acoustic wave devices are designed with several essential features, including high quality factor (Q), low power consumption, compact size, and strict requirements for frequency and temperature stability, as well as force sensitivity.
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Piezoelectric MEMS-based Bulk Acoustic Wave (BAW) resonators have been central to the development of low-loss, high-rejection, and compact RF filters for more than three decades.
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Group 4: Microacoustics / Acoustic Resonators and Filters
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Piezoelectric acoustic nano and microelectromechanical systems (MEMS) are a cornerstone technology for sensing and RF spectral processing and are now advancing on three fronts: higher operating frequency, larger power handling, and AI-enabled design automation.
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Group 5: Transducers and Transducer Materials
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The course starts by considering the electronics within a typical AFE. A basic electronics primer is provided including Characteristic Impedance, Impedance Matching, Cable Selection then Analog and Switched Mode Transmit Circuits, Transmit/Receive Switches and Multiplexers, Receiver AFE, Amplification including Noise Factor and Noise Figure, Filtering and Analog to Digital Convertors (ADC).
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This short course provides researchers, engineers, and entrepreneurs with the essential knowledge needed to successfully translate ultrasound innovations from research to commercial products. Participants will gain insights into market opportunity assessment, business case development, regulatory pathways, intellectual property strategies, entrepreneurship, and product commercialization. Through expert-led presentations, real-world case studies, and interactive discussions, attendees will learn best practices for navigating product development, regulatory compliance, manufacturing, quality control, and supply chain management to bring ultrasound technologies from concept to market.
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