Towards Automated Quality Control of Hepatic 2D Ultrasound Shear Wave Elastography Acquisitions
Tuesday, April 9, 2024
9:10am – 9:17am
Location: 412
Authors: Kevin Brom, Mayo Clinic Jaydev Dave, Mayo Clinic Zaiyang Long, Mayo Clinic Scott Stekel, Mayo Clinic
This project develops a novel automated approach to assess the quality of liver shear wave elastography (SWE) images acquired on Logiq 9 & 10 scanners (GE Healthcare). With the image processing methods developed, we can extract image-specific features such as the location of the liver capsule and the shear wave box, and subsequently determine their relative position to each other. Methods of acquiring a segmentation of the liver capsule using a maximum likelihood estimate (MLE) are described, where we achieved a 95% success rate. Furthermore, a central element of this work develops an automated method of mapping the intrinsic coordinate system of the curved C1-6 probe, which is used for all liver SWE measurements acquired clinically in our practice, onto the DICOM image. This allows us to make distance measurements between any 2 points in an image without inherent cosine angle error.