Reliable echocardiography data depend on more than obtaining the required views and measurements. Factors such as anesthesia depth, body temperature, hair removal, animal and probe positioning, and sampling location can materially affect the images acquired and the conclusions drawn from them. When these factors are not adequately controlled, technical variability can be mistaken for a biological finding or obscure a genuine effect.

In this webinar, Allison Rodgers will examine the practical conditions required to acquire accurate, consistent, and physiologically meaningful echocardiography data. Using controlled comparisons and image examples, she will demonstrate how common acquisition issues affect image quality and measurement, how to distinguish technical limitations from biological findings, and how to determine when an image is acceptable for analysis. The session will also address measurement consistency, difficult-to-image animals, post-processing considerations, and the importance of establishing clear quality-control boundaries.

Key Learning Objectives:

• Recognize how anesthesia, body temperature, animal preparation, positioning, and other variables can influence echocardiography results.
• Evaluate whether images are acceptable, questionable, or unusable before proceeding with measurement and analysis.
• Understand why an image that can be measured does not necessarily provide accurate or physiologically meaningful data.
• Apply strategies for overcoming common acquisition difficulties and improving consistency across animals, operators, and longitudinal study time points.
• Make more informed decisions about measurement conventions, technical limitations, quality-control thresholds, and when data should be flagged or excluded.