Paper
12 May 2004 Automatic phase point determination for cardiac CT imaging
Robert Manzke, Michael Grass, Tim Nielsen, Thomas Koehler, David J. Hawkes
Author Affiliations +
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 2 scholarly publications and 2 patents.
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KEYWORDS
Heart

Computed tomography

Image quality

Arteries

Electrocardiography

Spatial resolution

Data acquisition

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