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

• Describe the difference between quantitative ultrasound and standard B-Mode ultrasound, and explain the theoretical basis for accurately quantifying liver fat using radiofrequency ultrasound signals;
• Describe the principles for deriving the attenuation coefficient, backscatter coefficient, and speed of sound from ultrasound signals, as well as the principle of using artificial intelligence to directly derive liver fat content; and
• Discuss the practical advantages and drawbacks of physics-based and data-driven approaches for quantitative ultrasound imaging and identify challenges and opportunities for their application in liver fat quantification.

Faculty: Aiguo Han, PhD, Department of Biomedical Engineering and Mechanics, Virginia Tech

Target Audience: This activity is intended for basic scientists, engineers, and clinicians radiologists, primary care physicians, sonographers, and other health care professionals interested in learning the latest emerging imaging modalities.

Available Credit: 1 AMA PRA Category 1 Credit(s)™/1 ARRT Category A credit(s). Upon completion of the learning activity, you will have 2 attempts to successfully pass the post-test with a score of at least 80% and claim your certificate.

AIUM Member: $0
Nonmember: $19

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 January 1, 2025, you will have 2 attempts to successfully pass the post-test with a score of at least 80% and claim your certificate.

Release Date: 02/20/2025
Expiration Date: 02/19/2028 11:59 pm ET 

Estimated time to complete activity: 1 hour

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 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 with a score of at least 80% will have access to claim 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

• Aiguo Han, PhD, faculty/planner for this educational activity, has received research/grant support from Siemens Medical Solutions USA, Inc.
• Nicole Fortune, planner for this educational activity, has no relevant financial relationship(s) with ineligible companies to disclose.
• Charlotte Henningsen, MS, RT(R), planner for this educational activity, has no relevant financial relationship(s) with ineligible companies to disclose.
• Ashley McDermott, planner for this educational event, has no relevant financial relationship(s) with ineligible companies to disclose.