Designed for veterinary sonographers of all levels, veterinarians, and technicians seeking to improve scanning efficiency and image quality.
Instructor: Eric Lindquist, DMV (Italy), DABVP (Canine & Feline), Cert. IVUSS, Founder & CEO of SonoPath
1 RACE-approved CE credit
On-demand lecture plus post-course CE quiz
Approximate Study Time: 2 hours
Course Overview:
Build a strong foundation in ultrasound image optimization with this practical, introductory course. You will learn how to confidently adjust primary system controls including gain, time gain compensation (TGC), frequency, depth, focus, and imaging modes to consistently produce diagnostic-quality images. Learners will gain an introductory understanding of the basic acoustic physics behind these settings. The course also covers smart machine and probe selection, along with real-world tips and troubleshooting strategies drawn from extensive clinical experience. Packed with clear examples and high-quality ultrasound images directly from the cases of Dr. Eric Lindquist, this video lecture is designed to immediately improve your scanning efficiency and image quality.
Course Objectives:
By the end of this course, you will know how to
- Adjust gain and time gain compensation (TGC) to achieve balanced image brightness
- Select appropriate frequency, depth, and focus settings for different patients and structures
- Differentiate and apply ultrasound modes to enhance image acquisition
- Optimize images using both pre-processing and post-processing controls
- Choose appropriate ultrasound machines and probes for clinical applications
- Apply practical tips and troubleshooting techniques to improve image quality in real time
What’s Included:
- Lifetime access to this SonoPath Education course
- Self-paced video course Lecture
- SDEP® Presentation Slides
- CE Quiz and certificate (when passed at 70%+)
Ultrasound Image Optimization: Technique, Hardware, Software & Essential Physics
Earn 1 RACE-approved CE credits with final quiz score of 70% or higher. Your CE certificate is sent via email.






