Left Ventricular Pressure Gating in Ovine Cardiac Studies: A Software-Based Method

Author:

Acevedo-Bolton Gabriel1,Suzuki Takamaro,Malhotra Deepak,Zhang Zhihong2,Wallace Arthur W.3,Guccione Julius M.4,Saloner David A.5,Ratcliffe Mark B.6

Affiliation:

1. Department of Radiology, University of California, San Francisco, CA 94143

2. Department of Surgery, Department of Veterans Affairs Medical Center, San Francisco, CA 94121

3. Department of Anesthesia, University of California, San Francisco, CA 94143; Department of Veterans Affairs Medical Center, San Francisco, CA 94121

4. Department of Surgery, University of California, San Francisco, CA 94143; Department of Veterans Affairs Medical Center, San Francisco, CA 94121

5. Departments of Radiology, University of California, San Francisco, CA 94143; Department of Veterans Affairs Medical Center, San Francisco, CA 94121

6. Department of Surgery, University of California, San Francisco, CA 94143; Department of Veterans Affairs Medical Center, San Francisco, CA 94121 e-mail:

Abstract

Cardiac imaging using magnetic resonance requires a gating signal in order to compensate for motion. Human patients are routinely scanned using an electrocardiogram (ECG) as a gating signal during imaging. However, we found that in sheep the ECG is not a reliable method for gating. We developed a software based method that allowed us to use the left ventricular pressure (LVP) as a reliable gating signal. By taking the time derivative of the LVP (dP/dt), we were able to start imaging at both end-diastole for systolic phase images, and end-systole for diastolic phase images. We also used MR tissue tagging to calculate 3D strain information during diastole. Using the LVP in combination with our digital circuit provided a reliable and time efficient method for ovine cardiac imaging. Unlike the ECG signal the left ventricular pressure was a clean signal and allowed for accurate, nondelay based triggering during systole and diastole.

Publisher

ASME International

Subject

Physiology (medical),Biomedical Engineering

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