Registration and Fusion of Real-Time Ultrasound With CT for Lesion Localization and Characterization
Acquire CT data and US and transducer position data (magnetic sensor system) of focal
hepatic or renal lesions to serve as sample data sets for fusion algorithm development and
subsequent optimization.
Optimize image fusion algorithms for use in goal. Develop registration algorithms that
result in maximal lesional overlap with a clinically relevant difference in an epicenter
location of ≤ 2 cm for lesional identification and, ultimately ≤ 0.3 cm for interventional
procedures.
Observational
Observational Model: Case Control, Time Perspective: Prospective
Primary Endpoints: Global Fiducial Registration Error (FRE) of real-time US and fused CT images, Target Registration Error (TRE) and distance between lesional epicenters of real-time US and fused CT images.
2 years
No
Matthew R. Callstrom, MD, PhD
Principal Investigator
Mayo Clinic
United States: Food and Drug Administration
06-002982
NCT00586235
February 2007
June 2011
Name | Location |
---|---|
Mayo Clinic | Rochester, Minnesota 55905 |