Abstract #2862

Automated Cardiac Resting Phase Detection in 2D cine MR images for Acquisition Window Selection in High-Resolution Coronary MRI

Davide Piccini^1,2,3, Robin Demesmaeker¹, Gabriella Vincenti⁴, Tobias Kober^1,2,3, and Matthias Stuber^2,5

¹Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, ²Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, ³LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, ⁴Division of Cardiology and Cardiac MR Center, University Hospital of Lausanne (CHUV), Lausanne, Switzerland, ⁵Center for Biomedical Imaging (CIBM), Lausanne, Switzerland

In MR coronary angiography, the synchronization of the ECG-triggered imaging sequence with periods of minimal diastolic/systolic myocardial motion (resting phases) is essential. The selection of the resting phases is usually performed manually by an expert user. Here, automated detection of the period of minimal myocardial motion is described and tested in 30 cine patient datasets. After normalization of the cine image series, a 1D curve representative of the overall amount of motion for each cine frame is extracted. Frames belonging to diastolic/systolic resting phases are selected from such curve using peak detection and threshold-based region-growing. Testing is performed in comparison to manually expert-selected resting phases.

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