Automatic phase point determination for cardiac CT imaging

Robert Manzke; Michael Grass; Tim Nielsen; Thomas Koehler; David J. Hawkes

doi:10.1117/12.534108

12 May 2004 Automatic phase point determination for cardiac CT imaging

Robert Manzke, Michael Grass, Tim Nielsen, Thomas Koehler, David J. Hawkes

Author Affiliations +

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.534108
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

With the introduction of ultra-fast cone beam scanners, cardiac CT imaging has become feasible. In order to achieve excellent image quality, cardiac phases must be found during which the heart is quasi-stationary. Electrocardiogram (ECG) information does not always correspond to the exact motion-state of the heart, and there is high patient variability with respect to the motion pattern. The clinician has to select stable phases manually without an exact knowledge about the patient-specific motion. Therefore, several high-resolution volumes corresponding to different phases have to be reconstructed, which is an inefficient task. In this contribution, a simple and efficient image-based technique is introduced which is able to deliver patient-specific stable cardiac phases in an automatic fashion. For this purpose, a low-resolution 4D data set is reconstructed in advance. The most stable phases are derived from this 4D data set by calculating the similarity between subsequent positions in the cardiac cycle. Information about the patient-specific motion of the heart can be determined. High-resolution reconstructions are shown at the automatically predicted phase points corresponding to systole and diastole. The images are superior to images reconstructed at other phase points.

Citation Download Citation

Robert Manzke, Michael Grass, Tim Nielsen, Thomas Koehler, and David J. Hawkes "Automatic phase point determination for cardiac CT imaging", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.534108

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