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What you will learn

Course description: 

This two-day program covers the acquisition and manipulation of fetal heart datasets along with the first trimester, fetal spine, fetal head, and GYN datasets.  Day one covers the acquisition and manipulation of fetal heart volumes using spatial and temporal image correlation (STIC) and QLAB is reviewed. Day two will include discussions of the acquisition and manipulation of GYN, first trimester, fetal spine, and fetal head volume datasets.

This course is presented by Leeber Cohen, MD, a clinical associate professor at Northwestern Medical Faculty Foundation, Department of Obstetrics and Gynecology in Chicago, Illinois. Dr. Cohen has published many articles utilizing 3D technology, including the fetal brain, uterine anomalies, sonohysterography, sonosalpingography, and ovarian cancer screening. His clinical research has recently focused on 3D ultrasound as applied to women’s healthcare issues such as ovarian cancer and fetal heart defects.

Prerequisite skills: A thorough knowledge and understanding of 2D Obstetrical Ultrasound fundamentals are required for this program.

Currency: 

USD

Course objectives: 

Upon completion of this program, attendees should be able to:

  • Explain the fetal heart anatomy and define common congenital heart defects
  • Explain and discuss the volume imaging acquisition of the fetal heart
  • Apply knowledge of STIC in the evaluation of the fetal heart
  • Apply knowledge of QLAB in the manipulation of STIC datasets
  • Apply knowledge of the acquisition of basic GYN datasets
  • Explain and discuss the volume imaging acquisition of the first trimester fetus, the fetal spine and the fetal head
  • Apply knowledge of the use of QLAB in the manipulation of basic GYN datasets along with those of a first trimester fetus, fetal spine, and fetal head
Course details

Course Code: 

WHC302

Delivery method: 

  • Instructor-led

Language: 

  • English

Duration: 

2 Days

Course instructor(s) : 

Leeber Cohen, MD, FACOG, FAIUM
Philips Instructor

Course disclaimer: 

The content is for information and education only. The content is not intended to provide medical advice, diagnosis, or treatment. Please see the full terms of use for this content and this website.

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