Respiratory motion correction for image-guided cardiac interventions using 3-D echocardiography

Area of Science:

• Medical Imaging
• Cardiovascular Interventions
• Image-Guided Therapy

Background:

• Respiratory motion significantly impacts the accuracy of roadmaps in image-guided cardiac interventions.
• Accurate respiratory motion correction is crucial for precise navigation during these procedures.

Purpose of the Study:

• To investigate the efficacy of 3-D echocardiography (echo) data for respiratory motion correction of roadmaps.
• To compare a novel model-based technique with an echo-only technique for motion correction accuracy and robustness.

Main Methods:

• Developed two techniques: one using echo-echo registration alone, and a second combining echo-echo registration with a cardiac respiratory motion model.
• Tracked and calibrated the echo probe, registering it to the roadmap coordinate system.
• Validated techniques using cardiac MRI and 3-D echo data from eight volunteers.

Main Results:

• The model-based technique achieved higher accuracy (3.3 ± 1.1mm) compared to the echo-only technique (4.1 ± 2.2mm).
• Subjective assessments showed the model-based technique accurate to within 5mm in 60% of cases, versus 42% for the echo-only method.
• The model-based approach demonstrated superior robustness, especially outside the direct echo coverage area, and reduced computational cost.

Conclusions:

• Combining 3-D echo data with a respiratory motion model offers a more robust and accurate solution for roadmap motion correction in cardiac interventions.
• The model-based technique presents significant advantages in accuracy, robustness, and computational efficiency over echo-only methods.