How to Conduct Super-Resolution Microvascular Imaging With Microbubbles

Learning Objective(s)
After watching this activity, you should be able to:

  • Discuss the basic principles of super-resolution ultrasound imaging with microbubbles;
  • Prepare animals/human subjects for super-resolution ultrasound imaging with microbubbles; and
  • Process the ultrasound data to obtain super-resolved microvessel images.

Faculty: Matthew Lowerison, PhD; Pengfei Song, PhD 

Available Credit: 1 AMA PRA Category 1 Credit(s)™/1 ARRT Category A credit(s). Upon completion of the learning activity, you will have 1 attempt to successfully pass the post-test with a score of at least 80% and claim your certificate.

AIUM Member: $0
Nonmember: $69

Join the AIUM today to access and earn for free.

Your fee includes access to the content and the opportunity to submit the CME test. 

As of August 1, 2020, you will have 1 attempt to successfully pass the post-test with a score of at least 80% and claim your certificate.

Components visible upon registration.

Release Date: 12/13/2022
Expiration Date: 12/13/2025

AMA PRA Category 1 Credit(s)™

The American Institute of Ultrasound in Medicine (AIUM) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

The AIUM designates this internet activity enduring material for a maximum of 1 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

AIUM Ultrasound Practice Accreditation

This activity can be used to meet part of relevant AIUM Training Guidelines and/or maintenance credits for accreditation purposes. Learn more about AIUM Ultrasound Practice Accreditation here.

ARRT Category A Credit 

The AIUM is a Recognized Continuing Education Evaluation Mechanism (RCEEM) for the American Registry of Radiologic Technologists (ARRT). The AIUM is the owner and sponsor of this activity. This activity is approved by the AIUM for ARRT Category A credit. This CE activity may be available in multiple formats or from different CE sponsors. ARRT does not allow CE activities (e.g., Internet courses, home study programs, directed readings, live lectures) to be repeated for CE credit in the same CE biennium.

Additional Credit Information

  • American Registry for Diagnostic Medical Sonography (ARDMS). The ARDMS accepts AMA PRA Category 1 CME Credit(s)™.

Documenting CME Credits

All participants who pass the post-test have access to a CME certificate. The AIUM will submit credits to the ARDMS for active AIUM membership accounts with a valid ARDMS ID number. It is the participant’s responsibility to ensure credit accuracy and adherence to any audit requests.

Disclosure Policy

In accordance with the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education, all individuals in control of content must disclose any financial relationship(s) or other relationship(s) held within the past 24 months. The AIUM implements a mechanism to identify and mitigate all conflicts of interest prior to delivering the educational activity to learners.

Disclosures for this Activity

  • Matthew Lowerison, no relevant financial relationships to disclose
  • Ashley McDermott, no relevant financial relationships to disclose
  • Pengfei Song, no relevant financial relationships to disclose

Matthew Lowerison, PhD

Matthew R. Lowerison received his Ph.D. in medical biophysics from the University of Western Ontario, London, ON, Canada, in 2017. He is currently a Beckman Postdoctoral Fellow in the Department of Electrical and Computer Engineering and the Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA. Previously, he was a postdoctoral research fellow at Mayo Clinic, Urology. His current research interests include ultrasound microvessel imaging, super-resolution ultrasound localization microscopy, ultrasonic characterization of tumor microenvironments, and applications of ultrasound for the study of Alzheimer’s disease and other neurological diseases.

Pengfei Song, PhD

Assistant Professor of Electrical and Computer Engineering, Bioengineering, and College of Medicine

University of Illinois Urbana-Champaign

Dr. Pengfei Song is an Assistant Professor of the Department of Electrical and Computer Engineering. He is also a full-time faculty member at the Beckman Institute for Advanced Science and Technology, and an affiliate faculty member with the Carle Illinois College of Medicine and the Department of Bioengineering. His research interests focus on ultrafast ultrasound imaging, super- resolution ultrasound imaging, deep learning, and ultrasound elastography. Dr. Song has published 80 peer-reviewed journal papers and holds several patents that have been commercialized by ultrasound companies and used worldwide in the clinic to benefit patients. Dr. Song is an awardee of the NIH K99/R00 Pathway to Independence Award and the NIBIB Trailblazer Award. He is an elected Fellow of the American Institute of Ultrasound in Medicine (AIUM) and a senior member of the National Academy of Inventors.